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LaTeX Research Posters · foryourhealth111-pixel | DecimalAI

Design & Mediaby foryourhealth111-pixel

LaTeX Research Posters

Use when creating or revising LaTeX research posters with beamerposter, tikzposter, or baposter, including poster layout, typography, color, print sizing, figure placement, QR codes, compilation, and print-ready PDF checks.

Never made a case worse

SkillScore

SkillScore96/100

Test results 96

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

79%96%of test cases passed +17 pts

Without skill19 of 24

With skill23 of 24

4 fixed19 passed either way1 still failing0 broke

Measured on gemini-3.6-flash8/13/2026v1

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskWhen compiling a Beamer-based poster document (`beamerposter`), large white margins appear around the edges. Which command sets custom outer margins to eliminate excessive space?

Without the skillMissed

With the skillPassed

Same model, same task. Answers are capped and redacted.

Use this skill

Your agent runs on

Adds every file the skill has, pinned so you can update it. No account needed.

pip install "decimalai>=0.15"
decimalai skills add foryourhealth111-pixel-latex-posters
claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

The same install from Python, for a notebook or a setup script.

Install

pip install "decimalai>=0.15"

Add the skill

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

print("Added. Start Claude Code with the command below.")

Start Claude Code with it

claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

Type these in a Claude Code session. No account or API key. It writes the skill and any files it bundles, and asks first when its safety rating isn't Passed.

Add the DecimalAI plugin, once

/plugin marketplace add decimal-labs/decimalai-claude-plugins
/plugin install decimalai@decimalai

Install this skill

/decimalai:install foryourhealth111-pixel-latex-posters

The plugin needs python3 and curl on your machine.

No Python or account. Claude Code picks it up in its next session.

Save it into your project

curl -fsSL --create-dirs -o .claude/skills/foryourhealth111-pixel-latex-posters/SKILL.md https://app.decimal.ai/s/foryourhealth111-pixel-latex-posters/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/foryourhealth111-pixel-latex-posters/SKILL.md

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Claude Code docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query

skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
options = ClaudeAgentOptions(system_prompt=f"You are a helpful agent.\n\n{skill}", max_turns=6)

async def main():
    async for message in query(prompt="Hello!", options=options):
        print(message)

# In a notebook or async code: await main()
asyncio.run(main())

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Claude Agent SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai-agents]"
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

Install

pip install "decimalai[openai-agents]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
agent = Agent(name="support", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

OpenAI Agents docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai]"
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

Install

pip install "decimalai[openai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
reply = client.chat.completions.create(
    model="gpt-5.4-mini",
    messages=[
        {"role": "system", "content": f"You are a helpful agent.\n\n{skill}"},
        {"role": "user", "content": "Hello!"},
    ],
).choices[0].message

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

OpenAI SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[anthropic]"
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

Install

pip install "decimalai[anthropic]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
reply = client.messages.create(
    model="claude-haiku-5-5",
    max_tokens=4096,
    system=f"You are a helpful agent.\n\n{skill}",
    messages=[{"role": "user", "content": "Hello!"}],
)

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Anthropic docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[google-genai]"
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

Install

pip install "decimalai[google-genai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from google import genai
from google.genai import types

client = genai.Client()
skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Hello!",
    config=types.GenerateContentConfig(system_instruction=f"You are a helpful agent.\n\n{skill}"),
)

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Gemini API docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[langchain]" langchain-openai
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

Install

pip install "decimalai[langchain]" langchain-openai

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
agent = create_agent("openai:gpt-5.4-mini", tools=[], system_prompt=f"You are a helpful agent.\n\n{skill}")
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

LangChain docs

CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

The same install from Python, for a notebook or a setup script. CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

No DecimalAI package. CrewAI's own loader reads the folder, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                         # your own CrewAI LLM
    skills=[Path(".agents/skills")],
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

CrewAI docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[adk]"
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

Install

pip install "decimalai[adk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from google.adk.agents import LlmAgent

skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
agent = LlmAgent(
    name="support",
    model="gemini-3.5-flash",
    instruction=lambda context: f"You are a helpful agent.\n\n{skill}",
)

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Google ADK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[pydantic-ai]"
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

Install

pip install "decimalai[pydantic-ai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
agent = Agent("openai:gpt-4o-mini", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Pydantic AI docs

Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

The same install from Python, for a notebook or a setup script. Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
agent = create_deep_agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Deep Agents docs

Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

The same install from Python, for a notebook or a setup script. Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
agent = Agent(client=client, instructions=f"You are a helpful agent.\n\n{skill}")
asyncio.run(agent.run("Hello!"))

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Microsoft Agent Framework docs

Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents
decimalai skills add foryourhealth111-pixel-latex-posters

Add it to your agent

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

The same install from Python, for a notebook or a setup script. Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("foryourhealth111-pixel-latex-posters")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md").read_text()
agent = Agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent("Hello!")

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Strands docs

Adds every file the skill has, pinned so you can update it. Cursor, Copilot, Cline and Warp read this folder by themselves.

pip install "decimalai>=0.15"
decimalai skills add foryourhealth111-pixel-latex-posters

No Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.

Save it into your project

curl -fsSL --create-dirs -o .agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md https://app.decimal.ai/s/foryourhealth111-pixel-latex-posters/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/foryourhealth111-pixel-latex-posters/SKILL.md

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Cursor and other editors docs

Fetch the file and give its text to your model as instructions. No account or package needed.

Get the file

curl -fsSL https://app.decimal.ai/s/foryourhealth111-pixel-latex-posters/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/foryourhealth111-pixel-latex-posters.json

This gets SKILL.md only. The skill's 9 other files are not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v1, tested 8/13/2026
Source: foryourhealth111-pixel/vibe-skills ↗
License: Apache-2.0

Manage it in DecimalAI

Saved prompts and skills, pinned versions, and traces of this skill in your runs. DecimalAI does not run your agent.

Claude Code reads files from your project, so DecimalAI config does not apply there.

On Claude Agent SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI Agents: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Anthropic: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Gemini API: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On LangChain: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On CrewAI: set DECIMAL_API_KEY and add decimalai.init(crewai=True) to record runs and skill use. The skill version stays in your repo.

On Google ADK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Pydantic AI: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Deep Agents: set DECIMAL_API_KEY and add decimalai.init(langchain=True) to record runs and skill use. The skill version stays in your repo.

On Microsoft Agent Framework: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

On Strands: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

Editors read files from your project, so DecimalAI config does not apply there.

Anywhere else: record a use with decimalai.log_skill_activation() inside a trace.

Use this skill

SKILL.md

LaTeX Research Posters

Overview

Research posters are a critical medium for scientific communication at conferences, symposia, and academic events. This skill provides comprehensive guidance for creating professional, visually appealing research posters using LaTeX packages. Generate publication-quality posters with proper layout, typography, color schemes, and visual hierarchy.

When to Use This Skill

This skill should be used when:

Creating research posters for conferences, symposia, or poster sessions
Designing academic posters for university events or thesis defenses
Preparing visual summaries of research for public engagement
Converting scientific papers into poster format
Creating template posters for research groups or departments
Designing posters that comply with specific conference size requirements (A0, A1, 36×48", etc.)
Building posters with complex multi-column layouts
Integrating figures, tables, equations, and citations in poster format

Boundary

This skill owns poster layout and LaTeX poster production. It can place existing figures and specify visual space allocation, but it does not generate diagrams, plots, data figures, or presentation decks, and it must not require a separate visual specialist as part of normal poster work.

Core Capabilities

1. LaTeX Poster Packages

Support for three major LaTeX poster packages, each with distinct advantages. For detailed comparison and package-specific guidance, refer to references/latex_poster_packages.md.

beamerposter:

Extension of the Beamer presentation class
Familiar syntax for Beamer users
Excellent theme support and customization
Best for: Traditional academic posters, institutional branding

tikzposter:

Modern, flexible design with TikZ integration
Built-in color themes and layout templates
Extensive customization through TikZ commands
Best for: Colorful, modern designs, custom graphics

baposter:

Box-based layout system
Automatic spacing and positioning
Professional-looking default styles
Best for: Multi-column layouts, consistent spacing

2. Poster Layout and Structure

Create effective poster layouts following visual communication principles. For comprehensive layout guidance, refer to references/poster_layout_design.md.

Common Poster Sections:

Header/Title: Title, authors, affiliations, logos
Introduction/Background: Research context and motivation
Methods/Approach: Methodology and experimental design
Results: Key findings with figures and data visualizations
Conclusions: Main takeaways and implications
References: Key citations (typically abbreviated)
Acknowledgments: Funding, collaborators, institutions

Layout Strategies:

Column-based layouts: 2-column, 3-column, or 4-column grids
Block-based layouts: Flexible arrangement of content blocks
Z-pattern flow: Guide readers through content logically
Visual hierarchy: Use size, color, and spacing to emphasize key points

3. Design Principles for Research Posters

Apply evidence-based design principles for maximum impact. For detailed design guidance, refer to references/poster_design_principles.md.

Typography:

Title: 72-120pt for visibility from distance
Section headers: 48-72pt
Body text: 24-36pt minimum for readability from 4-6 feet
Use sans-serif fonts (Arial, Helvetica, Calibri) for clarity
Limit to 2-3 font families maximum

Color and Contrast:

Use high-contrast color schemes for readability
Institutional color palettes for branding
Color-blind friendly palettes (avoid red-green combinations)
White space is active space—don't overcrowd

Visual Elements:

High-resolution figures (300 DPI minimum for print)
Large, clear labels on all figures
Consistent figure styling throughout
Strategic use of icons and graphics
Balance text with visual content (40-50% visual recommended)

Content Guidelines:

Less is more: 300-800 words total recommended
Bullet points over paragraphs for scannability
Clear, concise messaging
Self-explanatory figures with minimal text explanation
QR codes for supplementary materials or online resources

4. Standard Poster Sizes

Support for international and conference-specific poster dimensions:

International Standards:

A0 (841 × 1189 mm / 33.1 × 46.8 inches) - Most common European standard
A1 (594 × 841 mm / 23.4 × 33.1 inches) - Smaller format
A2 (420 × 594 mm / 16.5 × 23.4 inches) - Compact posters

North American Standards:

36 × 48 inches (914 × 1219 mm) - Common US conference size
42 × 56 inches (1067 × 1422 mm) - Large format
48 × 72 inches (1219 × 1829 mm) - Extra large

Orientation:

Portrait (vertical) - Most common, traditional
Landscape (horizontal) - Better for wide content, timelines

5. Package-Specific Templates

Provide ready-to-use templates for each major package. Templates available in assets/ directory.

beamerposter Templates:

beamerposter_classic.tex - Traditional academic style
beamerposter_modern.tex - Clean, minimal design
beamerposter_colorful.tex - Vibrant theme with blocks

tikzposter Templates:

tikzposter_default.tex - Standard tikzposter layout
tikzposter_rays.tex - Modern design with ray theme
tikzposter_wave.tex - Professional wave-style theme

baposter Templates:

baposter_portrait.tex - Classic portrait layout
baposter_landscape.tex - Landscape multi-column
baposter_minimal.tex - Minimalist design

6. Figure and Image Integration

Optimize visual content for poster presentations:

Best Practices:

Use vector graphics (PDF, SVG) when possible for scalability
Raster images: minimum 300 DPI at final print size
Consistent image styling (borders, captions, sizes)
Group related figures together
Use subfigures for comparisons

LaTeX Figure Commands:

% Include graphics package
\usepackage{graphicx}

% Simple figure
\includegraphics[width=0.8\linewidth]{figure.pdf}

% Figure with caption in tikzposter
\block{Results}{
  \begin{tikzfigure}
    \includegraphics[width=0.9\linewidth]{results.png}
  \end{tikzfigure}
}

% Multiple subfigures
\usepackage{subcaption}
\begin{figure}
  \begin{subfigure}{0.48\linewidth}
    \includegraphics[width=\linewidth]{fig1.pdf}
    \caption{Condition A}
  \end{subfigure}
  \begin{subfigure}{0.48\linewidth}
    \includegraphics[width=\linewidth]{fig2.pdf}
    \caption{Condition B}
  \end{subfigure}
\end{figure}

7. Color Schemes and Themes

Provide professional color palettes for various contexts:

Academic Institution Colors:

Match university or department branding
Use official color codes (RGB, CMYK, or LaTeX color definitions)

Scientific Color Palettes (color-blind friendly):

Viridis: Professional gradient from purple to yellow
ColorBrewer: Research-tested palettes for data visualization
IBM Color Blind Safe: Accessible corporate palette

Package-Specific Theme Selection:

beamerposter:

\usetheme{Berlin}
\usecolortheme{beaver}

tikzposter:

\usetheme{Rays}
\usecolorstyle{Denmark}

baposter:

\begin{poster}{
  background=plain,
  bgColorOne=white,
  headerColorOne=blue!70,
  textborder=rounded
}

8. Typography and Text Formatting

Ensure readability and visual appeal:

Font Selection:

% Sans-serif fonts recommended for posters
\usepackage{helvet}      % Helvetica
\usepackage{avant}       % Avant Garde
\usepackage{sfmath}      % Sans-serif math fonts

% Set default to sans-serif
\renewcommand{\familydefault}{\sfdefault}

Text Sizing:

% Adjust text sizes for visibility
\setbeamerfont{title}{size=\VeryHuge}
\setbeamerfont{author}{size=\Large}
\setbeamerfont{institute}{size=\normalsize}

Emphasis and Highlighting:

Use bold for key terms: \textbf{important}
Color highlights sparingly: \textcolor{blue}{highlight}
Boxes for critical information
Avoid italics (harder to read from distance)

9. QR Codes and Interactive Elements

Enhance poster interactivity for modern conferences:

QR Code Integration:

\usepackage{qrcode}

% Link to paper, code repository, or supplementary materials
\qrcode[height=2cm]{https://github.com/username/project}

% QR code with caption
\begin{center}
  \qrcode[height=3cm]{https://doi.org/10.1234/paper}\\
  \small Scan for full paper
\end{center}

Digital Enhancements:

Link to GitHub repositories for code
Link to video presentations or demos
Link to interactive web visualizations
Link to supplementary data or appendices

10. Compilation and Output

Generate high-quality PDF output for printing or digital display:

Compilation Commands:

# Basic compilation
pdflatex poster.tex

# With bibliography
pdflatex poster.tex
bibtex poster
pdflatex poster.tex
pdflatex poster.tex

# For beamer-based posters
lualatex poster.tex  # Better font support
xelatex poster.tex   # Unicode and modern fonts

Ensuring Full Page Coverage:

Posters should use the entire page without excessive margins. Configure packages correctly:

beamerposter - Full Page Setup:

\documentclass[final,t]{beamer}
\usepackage[size=a0,scale=1.4,orientation=portrait]{beamerposter}

% Remove default beamer margins
\setbeamersize{text margin left=0mm, text margin right=0mm}

% Use geometry for precise control
\usepackage[margin=10mm]{geometry}  % 10mm margins all around

% Remove navigation symbols
\setbeamertemplate{navigation symbols}{}

% Remove footline and headline if not needed
\setbeamertemplate{footline}{}
\setbeamertemplate{headline}{}

tikzposter - Full Page Setup:

\documentclass[
  25pt,                      % Font scaling
  a0paper,                   % Paper size
  portrait,                  % Orientation
  margin=10mm,               % Outer margins (minimal)
  innermargin=15mm,          % Space inside blocks
  blockverticalspace=15mm,   % Space between blocks
  colspace=15mm,             % Space between columns
  subcolspace=8mm            % Space between subcolumns
]{tikzposter}

% This ensures content fills the page

baposter - Full Page Setup:

\documentclass[a0paper,portrait,fontscale=0.285]{baposter}

\begin{poster}{
  grid=false,
  columns=3,
  colspacing=1.5em,          % Space between columns
  eyecatcher=true,
  background=plain,
  bgColorOne=white,
  borderColor=blue!50,
  headerheight=0.12\textheight,  % 12% for header
  textborder=roundedleft,
  headerborder=closed,
  boxheaderheight=2em        % Consistent box header heights
}
% Content here
\end{poster}

Common Issues and Fixes:

Problem: Large white margins around poster

% Fix for beamerposter
\setbeamersize{text margin left=5mm, text margin right=5mm}

% Fix for tikzposter
\documentclass[..., margin=5mm, innermargin=10mm]{tikzposter}

% Fix for baposter - adjust in document class
\documentclass[a0paper, margin=5mm]{baposter}

Problem: Content doesn't fill vertical space

% Use \vfill between sections to distribute space
\block{Introduction}{...}
\vfill
\block{Methods}{...}
\vfill
\block{Results}{...}

% Or manually adjust block spacing
\vspace{1cm}  % Add space between specific blocks

Problem: Poster extends beyond page boundaries

% Check total width calculation
% For 3 columns with spacing:
% Total = 3×columnwidth + 2×colspace + 2×margins
% Ensure this equals \paperwidth

% Debug by adding visible page boundary
\usepackage{eso-pic}
\AddToShipoutPictureBG{
  \AtPageLowerLeft{
    \put(0,0){\framebox(\LenToUnit{\paperwidth},\LenToUnit{\paperheight}){}}
  }
}

Print Preparation:

Generate PDF/X-1a for professional printing
Embed all fonts
Convert colors to CMYK if required
Check resolution of all images (minimum 300 DPI)
Add bleed area if required by printer (usually 3-5mm)
Verify page size matches requirements exactly

Digital Display:

RGB color space for screen display
Optimize file size for email/web
Test readability on different screens

11. PDF Review and Quality Control

CRITICAL: Always review the generated PDF before printing or presenting. Use this systematic checklist:

Step 1: Page Size Verification

# Check PDF dimensions (should match poster size exactly)
pdfinfo poster.pdf | grep "Page size"

# Expected outputs:
# A0: 2384 x 3370 points (841 x 1189 mm)
# 36x48": 2592 x 3456 points
# A1: 1684 x 2384 points (594 x 841 mm)

Step 2: Visual Inspection Checklist

Open PDF at 100% zoom and check:

Layout and Spacing:

Content fills entire page (no large white margins)
Consistent spacing between columns
Consistent spacing between blocks/sections
All elements aligned properly (use ruler tool)
No overlapping text or figures
White space evenly distributed

Typography:

Title clearly visible and large (72pt+)
Section headers readable (48-72pt)
Body text readable at 100% zoom (24-36pt minimum)
No text cutoff or running off edges
Consistent font usage throughout
All special characters render correctly (symbols, Greek letters)

Visual Elements:

All figures display correctly
No pixelated or blurry images
Figure captions present and readable
Colors render as expected (not washed out or too dark)
Logos display clearly
QR codes visible and scannable

Content Completeness:

Title and authors complete
All sections present (Intro, Methods, Results, Conclusions)
References included
Contact information visible
Acknowledgments (if applicable)
No placeholder text remaining (Lorem ipsum, TODO, etc.)

Technical Quality:

No LaTeX compilation warnings in important areas
All citations resolved (no [?] marks)
All cross-references working
Page boundaries correct (no content cut off)

Step 3: Reduced-Scale Print Test

Essential Pre-Printing Test:

# Create reduced-size test print (25% of final size)
# This simulates viewing full poster from ~8-10 feet

# For A0 poster, print on A4 paper (24.7% scale)
# For 36x48" poster, print on letter paper (~25% scale)

Print Test Checklist:

Title readable from 6 feet away
Section headers readable from 4 feet away
Body text readable from 2 feet away
Figures clear and understandable
Colors printed accurately
No obvious design flaws

Step 4: Digital Quality Checks

Font Embedding Verification:

# Check that all fonts are embedded (required for printing)
pdffonts poster.pdf

# All fonts should show "yes" in "emb" column
# If any show "no", recompile with:
pdflatex -dEmbedAllFonts=true poster.tex

Image Resolution Check:

# Extract image information
pdfimages -list poster.pdf

# Check that all images are at least 300 DPI
# Formula: DPI = pixels / (inches in poster)
# For A0 width (33.1"): 300 DPI = 9930 pixels minimum

File Size Optimization:

# For email/web, compress if needed (>50MB)
gs -sDEVICE=pdfwrite -dCompatibilityLevel=1.4 \
   -dPDFSETTINGS=/printer -dNOPAUSE -dQUIET -dBATCH \
   -sOutputFile=poster_compressed.pdf poster.pdf

# For printing, keep original (no compression)

Step 5: Accessibility Check

Color Contrast Verification:

Text-background contrast ratio ≥ 4.5:1 (WCAG AA)
Important elements contrast ratio ≥ 7:1 (WCAG AAA)
Test online: https://webaim.org/resources/contrastchecker/

Color Blindness Simulation:

View PDF through color blindness simulator
Information not lost with red-green simulation
Use Coblis (color-blindness.com) or similar tool

Step 6: Content Proofreading

Systematic Review:

Spell-check all text
Verify all author names and affiliations
Check all numbers and statistics for accuracy
Confirm all citations are correct
Review figure labels and captions
Check for typos in headers and titles

Peer Review:

Ask colleague to review poster
30-second test: Can they identify main message?
5-minute review: Do they understand conclusions?
Note any confusing elements

Step 7: Technical Validation

LaTeX Compilation Log Review:

# Check for warnings in .log file
grep -i "warning\|error\|overfull\|underfull" poster.log

# Common issues to fix:
# - Overfull hbox: Text extending beyond margins
# - Underfull hbox: Excessive spacing
# - Missing references: Citations not resolved
# - Missing figures: Image files not found

Fix Common Warnings:

% Overfull hbox (text too wide)
\usepackage{microtype}  % Better spacing
\sloppy  % Allow slightly looser spacing
\hyphenation{long-word}  % Manual hyphenation

% Missing fonts
\usepackage[T1]{fontenc}  % Better font encoding

% Image not found
% Ensure paths are correct and files exist
\graphicspath{{./figures/}{./images/}}

Step 8: Final Pre-Print Checklist

Before Sending to Printer:

PDF size exactly matches requirements (check with pdfinfo)
All fonts embedded (check with pdffonts)
Color mode correct (RGB for screen, CMYK for print if required)
Bleed area added if required (usually 3-5mm)
Crop marks visible if required
Test print completed and reviewed
File naming clear: [LastName]_[Conference]_Poster.pdf
Backup copy saved

Printing Specifications to Confirm:

Paper type (matte vs. glossy)
Printing method (inkjet, large format, fabric)
Color profile (provided to printer if required)
Delivery deadline and shipping address
Tube or flat packaging preference

Digital Presentation Checklist:

PDF size optimized (<10MB for email)
Tested on multiple PDF viewers (Adobe, Preview, etc.)
Displays correctly on different screens
QR codes tested and functional
Alternative formats prepared (PNG for social media)

Review Script (Available in scripts/review_poster.sh):

#!/bin/bash
# Automated poster PDF review script

echo "Poster PDF Quality Check"
echo "======================="

# Check file exists
if [ ! -f "$1" ]; then
    echo "Error: File not found"
    exit 1
fi

echo "File: $1"
echo ""

# Check page size
echo "1. Page Dimensions:"
pdfinfo "$1" | grep "Page size"
echo ""

# Check fonts
echo "2. Font Embedding:"
pdffonts "$1" | head -20
echo ""

# Check file size
echo "3. File Size:"
ls -lh "$1" | awk '{print $5}'
echo ""

# Count pages (should be 1 for poster)
echo "4. Page Count:"
pdfinfo "$1" | grep "Pages"
echo ""

echo "Manual checks required:"
echo "- Visual inspection at 100% zoom"
echo "- Reduced-scale print test (25%)"
echo "- Color contrast verification"
echo "- Proofreading for typos"

Common PDF Issues and Solutions:

Issue	Cause	Solution
Large white margins	Incorrect margin settings	Reduce margin in documentclass
Content cut off	Exceeds page boundaries	Check total width/height calculations
Blurry images	Low resolution (<300 DPI)	Replace with higher resolution images
Missing fonts	Fonts not embedded	Compile with -dEmbedAllFonts=true
Wrong page size	Incorrect paper size setting	Verify documentclass paper size
Colors look wrong	RGB vs CMYK mismatch	Convert color space for print
File too large (>50MB)	Uncompressed images	Optimize images or compress PDF
QR codes don't work	Too small or low resolution	Minimum 2×2cm, high contrast

11. Common Poster Content Patterns

Effective content organization for different research types:

Experimental Research Poster:

Title and authors
Introduction: Problem and hypothesis
Methods: Experimental design (with diagram)
Results: Key findings (2-4 main figures)
Conclusions: Main takeaways (3-5 bullet points)
Future work (optional)
References and acknowledgments

Computational/Modeling Poster:

Title and authors
Motivation: Problem statement
Approach: Algorithm or model (with flowchart)
Implementation: Technical details
Results: Performance metrics and comparisons
Applications: Use cases
Code availability (QR code to GitHub)
References

Review/Survey Poster:

Title and authors
Scope: Topic overview
Methods: Literature search strategy
Key findings: Main themes (organized by category)
Trends: Visualizations of publication patterns
Gaps: Identified research needs
Conclusions: Summary and implications
References

12. Accessibility and Inclusive Design

Design posters that are accessible to diverse audiences:

Color Blindness Considerations:

Avoid red-green combinations (most common color blindness)
Use patterns or shapes in addition to color
Test with color-blindness simulators
Provide high contrast (WCAG AA standard: 4.5:1 minimum)

Visual Impairment Accommodations:

Large, clear fonts (minimum 24pt body text)
High contrast text and background
Clear visual hierarchy
Avoid complex textures or patterns in backgrounds

Language and Content:

Clear, concise language
Define acronyms and jargon
International audience considerations
Consider multilingual QR code options for global conferences

13. Poster Presentation Best Practices

Guidance beyond LaTeX for effective poster sessions:

Content Strategy:

Tell a story, don't just list facts
Focus on 1-3 main messages
Use visual abstract or graphical summary
Leave room for conversation (don't over-explain)

Physical Presentation Tips:

Bring printed handouts or business cards with QR code
Prepare 30-second, 2-minute, and 5-minute verbal summaries
Stand to the side, not blocking the poster
Engage viewers with open-ended questions

Digital Backups:

Save poster as PDF on mobile device
Prepare digital version for email sharing
Create social media-friendly image version
Have backup printed copy or digital display option

Workflow for Poster Creation

Stage 1: Planning and Content Development

Determine poster requirements:
- Conference size specifications (A0, 36×48", etc.)
- Orientation (portrait vs. landscape)
- Submission deadlines and format requirements
Develop content outline:
- Identify 1-3 core messages
- Select key figures (typically 3-6 main visuals)
- Draft concise text for each section (bullet points preferred)
- Aim for 300-800 words total
Choose LaTeX package:
- beamerposter: If familiar with Beamer, need institutional themes
- tikzposter: For modern, colorful designs with flexibility
- baposter: For structured, professional multi-column layouts

Stage 2: Design and Layout

Select or create template:
- Start with provided templates in assets/
- Customize color scheme to match branding
- Configure page size and orientation
Design layout structure:
- Plan column structure (2, 3, or 4 columns)
- Map content flow (typically left-to-right, top-to-bottom)
- Allocate space for title (10-15%), content (70-80%), footer (5-10%)
Set typography:
- Configure font sizes for different hierarchy levels
- Ensure minimum 24pt body text
- Test readability from 4-6 feet distance

Stage 3: Content Integration

Create poster header:
- Title (concise, descriptive, 10-15 words)
- Authors and affiliations
- Institution logos (high-resolution)
- Conference logo if required
Populate content sections:
- Keep text minimal and scannable
- Use bullet points, not paragraphs
- Write in active voice
- Integrate figures with clear captions
Add visual elements:
- High-resolution figures (300 DPI minimum)
- Consistent styling across all figures
- Color-coded elements for emphasis
- QR codes for supplementary materials
Include references:
- Cite key papers only (5-10 references typical)
- Use abbreviated citation style
- Consider QR code to full bibliography

Stage 4: Refinement and Testing

Review and iterate:
- Check for typos and errors
- Verify all figures are high resolution
- Ensure consistent formatting
- Confirm color scheme works well together
Test readability:
- Print at 25% scale and read from 2-3 feet (simulates poster from 8-12 feet)
- Check color on different monitors
- Verify QR codes function correctly
- Ask colleague to review
Optimize for printing:
- Embed all fonts in PDF
- Verify image resolution
- Check PDF size requirements
- Include bleed area if required

Stage 5: Compilation and Delivery

Compile final PDF:

pdflatex poster.tex
# Or for better font support:
lualatex poster.tex

Verify output quality:
- Check all elements are visible and correctly positioned
- Zoom to 100% and inspect figure quality
- Verify colors match expectations
- Confirm PDF opens correctly on different viewers
Prepare for printing:
- Export as PDF/X-1a if required
- Save backup copies
- Get test print on regular paper first
- Order professional printing 2-3 days before deadline
Create supplementary materials:
- Save PNG/JPG version for social media
- Create handout version (8.5×11" summary)
- Prepare digital version for email sharing

Scope Boundary

Keep this skill focused on the poster artifact: layout, source files, compile path, print checks, and final PDF. Treat upstream research text, data analysis, literature context, and figure generation as already-provided inputs unless the router selected another owner before this skill is used.

Common Pitfalls to Avoid

Design Mistakes:

❌ Too much text (over 1000 words)
❌ Font sizes too small (under 24pt body text)
❌ Low-contrast color combinations
❌ Cluttered layout with no white space
❌ Inconsistent styling across sections
❌ Poor quality or pixelated images

Content Mistakes:

❌ No clear narrative or message
❌ Too many research questions or objectives
❌ Overuse of jargon without definitions
❌ Results without context or interpretation
❌ Missing author contact information

Technical Mistakes:

❌ Wrong poster dimensions for conference requirements
❌ RGB colors sent to CMYK printer (color shift)
❌ Fonts not embedded in PDF
❌ File size too large for submission portal
❌ QR codes too small or not tested

Best Practices:

✅ Follow conference size specifications exactly
✅ Test print at reduced scale before final printing
✅ Use high-contrast, accessible color schemes
✅ Keep text minimal and highly scannable
✅ Include clear contact information and QR codes
✅ Balance text and visuals (40-50% visual content)
✅ Proofread carefully (errors are magnified on posters!)

Package Installation

Ensure required LaTeX packages are installed:

# For TeX Live (Linux/Mac)
tlmgr install beamerposter tikzposter baposter

# For MiKTeX (Windows)
# Packages typically auto-install on first use

# Additional recommended packages
tlmgr install qrcode graphics xcolor tcolorbox subcaption

Scripts and Automation

Helper scripts available in scripts/ directory:

compile_poster.sh: Automated compilation with error handling
generate_template.py: Interactive template generator
resize_images.py: Batch image optimization for posters
poster_checklist.py: Pre-submission validation tool

References

Comprehensive reference files for detailed guidance:

references/latex_poster_packages.md: Detailed comparison of beamerposter, tikzposter, and baposter with examples
references/poster_layout_design.md: Layout principles, grid systems, and visual flow
references/poster_design_principles.md: Typography, color theory, visual hierarchy, and accessibility
references/poster_content_guide.md: Content organization, writing style, and section-specific guidance

Templates

Ready-to-use poster templates in assets/ directory:

beamerposter templates (classic, modern, colorful)
tikzposter templates (default, rays, wave, envelope)
baposter templates (portrait, landscape, minimal)
Example posters from various scientific disciplines
Color scheme definitions and institutional templates

Load these templates and customize for your specific research and conference requirements.

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LaTeX Research Posters

Overview

When to Use This Skill

Boundary

Core Capabilities

1. LaTeX Poster Packages

2. Poster Layout and Structure

3. Design Principles for Research Posters

4. Standard Poster Sizes

5. Package-Specific Templates

6. Figure and Image Integration

7. Color Schemes and Themes

8. Typography and Text Formatting

9. QR Codes and Interactive Elements

10. Compilation and Output

11. PDF Review and Quality Control

11. Common Poster Content Patterns

12. Accessibility and Inclusive Design

13. Poster Presentation Best Practices

Workflow for Poster Creation

Stage 1: Planning and Content Development

Stage 2: Design and Layout

Stage 3: Content Integration

Stage 4: Refinement and Testing

Stage 5: Compilation and Delivery

Scope Boundary

Common Pitfalls to Avoid

Package Installation

Scripts and Automation

References

Templates

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