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PPTX creation, editing, and analysis · sickn33 | DecimalAI

Design & Mediaby sickn33

PPTX creation, editing, and analysis

A user may ask you to create, edit, or analyze the contents of a .pptx file. A .pptx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.

SkillScore

SkillScore77/100

Test results 77

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

27%77%of test cases passed +50 pts

Without skill6 of 22

With skill17 of 22

11 fixed6 passed either way5 still failing0 broke

Measured on gemini-3.6-flash8/10/2026v119 comparable

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskBefore making direct OOXML edits to an unpacked presentation directory, what specific guide file should be read completely from start to finish without range limits?

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 sickn33-pptx-official
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("sickn33-pptx-official")
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 sickn33-pptx-official

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/sickn33-pptx-official/SKILL.md https://app.decimal.ai/s/sickn33-pptx-official/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/sickn33-pptx-official/SKILL.md

This gets SKILL.md only. The skill's 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

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

skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/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/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

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

skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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("sickn33-pptx-official")
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/sickn33-pptx-official/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/sickn33-pptx-official/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 5 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 sickn33-pptx-official

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/sickn33-pptx-official/SKILL.md https://app.decimal.ai/s/sickn33-pptx-official/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/sickn33-pptx-official/SKILL.md

This gets SKILL.md only. The skill's 5 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/sickn33-pptx-official/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/sickn33-pptx-official.json

This gets SKILL.md only. The skill's 5 other files are not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v1, tested 8/10/2026
Source: sickn33/antigravity-awesome-skills ↗
License: MIT

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

PPTX creation, editing, and analysis

Overview

Reading and analyzing content

Text extraction

If you just need to read the text contents of a presentation, you should convert the document to markdown:

# Convert document to markdown
python -m markitdown path-to-file.pptx

Raw XML access

You need raw XML access for: comments, speaker notes, slide layouts, animations, design elements, and complex formatting. For any of these features, you'll need to unpack a presentation and read its raw XML contents.

Unpacking a file

python ooxml/scripts/unpack.py <office_file> <output_dir>

Note: The unpack.py script is located at skills/pptx/ooxml/scripts/unpack.py relative to the project root. If the script doesn't exist at this path, use find . -name "unpack.py" to locate it.

Key file structures

ppt/presentation.xml - Main presentation metadata and slide references
ppt/slides/slide{N}.xml - Individual slide contents (slide1.xml, slide2.xml, etc.)
ppt/notesSlides/notesSlide{N}.xml - Speaker notes for each slide
ppt/comments/modernComment_*.xml - Comments for specific slides
ppt/slideLayouts/ - Layout templates for slides
ppt/slideMasters/ - Master slide templates
ppt/theme/ - Theme and styling information
ppt/media/ - Images and other media files

Typography and color extraction

When given an example design to emulate: Always analyze the presentation's typography and colors first using the methods below:

Read theme file: Check ppt/theme/theme1.xml for colors (<a:clrScheme>) and fonts (<a:fontScheme>)
Sample slide content: Examine ppt/slides/slide1.xml for actual font usage (<a:rPr>) and colors
Search for patterns: Use grep to find color (<a:solidFill>, <a:srgbClr>) and font references across all XML files

Creating a new PowerPoint presentation without a template

When creating a new PowerPoint presentation from scratch, use the html2pptx workflow to convert HTML slides to PowerPoint with accurate positioning.

Design Principles

CRITICAL: Before creating any presentation, analyze the content and choose appropriate design elements:

Consider the subject matter: What is this presentation about? What tone, industry, or mood does it suggest?
Check for branding: If the user mentions a company/organization, consider their brand colors and identity
Match palette to content: Select colors that reflect the subject
State your approach: Explain your design choices before writing code

Requirements:

✅ State your content-informed design approach BEFORE writing code
✅ Use web-safe fonts only: Arial, Helvetica, Times New Roman, Georgia, Courier New, Verdana, Tahoma, Trebuchet MS, Impact
✅ Create clear visual hierarchy through size, weight, and color
✅ Ensure readability: strong contrast, appropriately sized text, clean alignment
✅ Be consistent: repeat patterns, spacing, and visual language across slides

Color Palette Selection

Choosing colors creatively:

Think beyond defaults: What colors genuinely match this specific topic? Avoid autopilot choices.
Consider multiple angles: Topic, industry, mood, energy level, target audience, brand identity (if mentioned)
Be adventurous: Try unexpected combinations - a healthcare presentation doesn't have to be green, finance doesn't have to be navy
Build your palette: Pick 3-5 colors that work together (dominant colors + supporting tones + accent)
Ensure contrast: Text must be clearly readable on backgrounds

Example color palettes (use these to spark creativity - choose one, adapt it, or create your own):

Classic Blue: Deep navy (#1C2833), slate gray (#2E4053), silver (#AAB7B8), off-white (#F4F6F6)
Teal & Coral: Teal (#5EA8A7), deep teal (#277884), coral (#FE4447), white (#FFFFFF)
Bold Red: Red (#C0392B), bright red (#E74C3C), orange (#F39C12), yellow (#F1C40F), green (#2ECC71)
Warm Blush: Mauve (#A49393), blush (#EED6D3), rose (#E8B4B8), cream (#FAF7F2)
Burgundy Luxury: Burgundy (#5D1D2E), crimson (#951233), rust (#C15937), gold (#997929)
Deep Purple & Emerald: Purple (#B165FB), dark blue (#181B24), emerald (#40695B), white (#FFFFFF)
Cream & Forest Green: Cream (#FFE1C7), forest green (#40695B), white (#FCFCFC)
Pink & Purple: Pink (#F8275B), coral (#FF574A), rose (#FF737D), purple (#3D2F68)
Lime & Plum: Lime (#C5DE82), plum (#7C3A5F), coral (#FD8C6E), blue-gray (#98ACB5)
Black & Gold: Gold (#BF9A4A), black (#000000), cream (#F4F6F6)
Sage & Terracotta: Sage (#87A96B), terracotta (#E07A5F), cream (#F4F1DE), charcoal (#2C2C2C)
Charcoal & Red: Charcoal (#292929), red (#E33737), light gray (#CCCBCB)
Vibrant Orange: Orange (#F96D00), light gray (#F2F2F2), charcoal (#222831)
Forest Green: Black (#191A19), green (#4E9F3D), dark green (#1E5128), white (#FFFFFF)
Retro Rainbow: Purple (#722880), pink (#D72D51), orange (#EB5C18), amber (#F08800), gold (#DEB600)
Vintage Earthy: Mustard (#E3B448), sage (#CBD18F), forest green (#3A6B35), cream (#F4F1DE)
Coastal Rose: Old rose (#AD7670), beaver (#B49886), eggshell (#F3ECDC), ash gray (#BFD5BE)
Orange & Turquoise: Light orange (#FC993E), grayish turquoise (#667C6F), white (#FCFCFC)

Visual Details Options

Geometric Patterns:

Diagonal section dividers instead of horizontal
Asymmetric column widths (30/70, 40/60, 25/75)
Rotated text headers at 90° or 270°
Circular/hexagonal frames for images
Triangular accent shapes in corners
Overlapping shapes for depth

Border & Frame Treatments:

Thick single-color borders (10-20pt) on one side only
Double-line borders with contrasting colors
Corner brackets instead of full frames
L-shaped borders (top+left or bottom+right)
Underline accents beneath headers (3-5pt thick)

Typography Treatments:

Extreme size contrast (72pt headlines vs 11pt body)
All-caps headers with wide letter spacing
Numbered sections in oversized display type
Monospace (Courier New) for data/stats/technical content
Condensed fonts (Arial Narrow) for dense information
Outlined text for emphasis

Chart & Data Styling:

Monochrome charts with single accent color for key data
Horizontal bar charts instead of vertical
Dot plots instead of bar charts
Minimal gridlines or none at all
Data labels directly on elements (no legends)
Oversized numbers for key metrics

Layout Innovations:

Full-bleed images with text overlays
Sidebar column (20-30% width) for navigation/context
Modular grid systems (3×3, 4×4 blocks)
Z-pattern or F-pattern content flow
Floating text boxes over colored shapes
Magazine-style multi-column layouts

Background Treatments:

Solid color blocks occupying 40-60% of slide
Gradient fills (vertical or diagonal only)
Split backgrounds (two colors, diagonal or vertical)
Edge-to-edge color bands
Negative space as a design element

Layout Tips

When creating slides with charts or tables:

Two-column layout (PREFERRED): Use a header spanning the full width, then two columns below - text/bullets in one column and the featured content in the other. This provides better balance and makes charts/tables more readable. Use flexbox with unequal column widths (e.g., 40%/60% split) to optimize space for each content type.
Full-slide layout: Let the featured content (chart/table) take up the entire slide for maximum impact and readability
NEVER vertically stack: Do not place charts/tables below text in a single column - this causes poor readability and layout issues

Workflow

MANDATORY - READ ENTIRE FILE: Read html2pptx.md completely from start to finish. NEVER set any range limits when reading this file. Read the full file content for detailed syntax, critical formatting rules, and best practices before proceeding with presentation creation.
Create an HTML file for each slide with proper dimensions (e.g., 720pt × 405pt for 16:9)
- Use <p>, <h1>-<h6>, <ul>, <ol> for all text content
- Use class="placeholder" for areas where charts/tables will be added (render with gray background for visibility)
- CRITICAL: Rasterize gradients and icons as PNG images FIRST using Sharp, then reference in HTML
- LAYOUT: For slides with charts/tables/images, use either full-slide layout or two-column layout for better readability
Create and run a JavaScript file using the html2pptx.js library to convert HTML slides to PowerPoint and save the presentation
- Use the html2pptx() function to process each HTML file
- Add charts and tables to placeholder areas using PptxGenJS API
- Save the presentation using pptx.writeFile()
Visual validation: Generate thumbnails and inspect for layout issues
- Create thumbnail grid: python scripts/thumbnail.py output.pptx workspace/thumbnails --cols 4
- Read and carefully examine the thumbnail image for:
  - Text cutoff: Text being cut off by header bars, shapes, or slide edges
  - Text overlap: Text overlapping with other text or shapes
  - Positioning issues: Content too close to slide boundaries or other elements
  - Contrast issues: Insufficient contrast between text and backgrounds
- If issues found, adjust HTML margins/spacing/colors and regenerate the presentation
- Repeat until all slides are visually correct

Editing an existing PowerPoint presentation

When edit slides in an existing PowerPoint presentation, you need to work with the raw Office Open XML (OOXML) format. This involves unpacking the .pptx file, editing the XML content, and repacking it.

Workflow

MANDATORY - READ ENTIRE FILE: Read ooxml.md (~500 lines) completely from start to finish. NEVER set any range limits when reading this file. Read the full file content for detailed guidance on OOXML structure and editing workflows before any presentation editing.
Unpack the presentation: python ooxml/scripts/unpack.py <office_file> <output_dir>
Edit the XML files (primarily ppt/slides/slide{N}.xml and related files)
CRITICAL: Validate immediately after each edit and fix any validation errors before proceeding: python ooxml/scripts/validate.py <dir> --original <file>
Pack the final presentation: python ooxml/scripts/pack.py <input_directory> <office_file>

Creating a new PowerPoint presentation using a template

When you need to create a presentation that follows an existing template's design, you'll need to duplicate and re-arrange template slides before then replacing placeholder context.

Workflow

Extract template text AND create visual thumbnail grid:
- Extract text: python -m markitdown template.pptx > template-content.md
- Read template-content.md: Read the entire file to understand the contents of the template presentation. NEVER set any range limits when reading this file.
- Create thumbnail grids: python scripts/thumbnail.py template.pptx
- See Creating Thumbnail Grids section for more details
Analyze template and save inventory to a file:
- Visual Analysis: Review thumbnail grid(s) to understand slide layouts, design patterns, and visual structure
- Create and save a template inventory file at template-inventory.md containing:
```
# Template Inventory Analysis
**Total Slides: [count]**
**IMPORTANT: Slides are 0-indexed (first slide = 0, last slide = count-1)**

## [Category Name]
- Slide 0: [Layout code if available] - Description/purpose
- Slide 1: [Layout code] - Description/purpose
- Slide 2: [Layout code] - Description/purpose
[... EVERY slide must be listed individually with its index ...]
```
- Using the thumbnail grid: Reference the visual thumbnails to identify:
  - Layout patterns (title slides, content layouts, section dividers)
  - Image placeholder locations and counts
  - Design consistency across slide groups
  - Visual hierarchy and structure
- This inventory file is REQUIRED for selecting appropriate templates in the next step
Create presentation outline based on template inventory:
- Review available templates from step 2.
- Choose an intro or title template for the first slide. This should be one of the first templates.
- Choose safe, text-based layouts for the other slides.
- CRITICAL: Match layout structure to actual content:
  - Single-column layouts: Use for unified narrative or single topic
  - Two-column layouts: Use ONLY when you have exactly 2 distinct items/concepts
  - Three-column layouts: Use ONLY when you have exactly 3 distinct items/concepts
  - Image + text layouts: Use ONLY when you have actual images to insert
  - Quote layouts: Use ONLY for actual quotes from people (with attribution), never for emphasis
  - Never use layouts with more placeholders than you have content
  - If you have 2 items, don't force them into a 3-column layout
  - If you have 4+ items, consider breaking into multiple slides or using a list format
- Count your actual content pieces BEFORE selecting the layout
- Verify each placeholder in the chosen layout will be filled with meaningful content
- Select one option representing the best layout for each content section.
- Save outline.md with content AND template mapping that leverages available designs
- Example template mapping:
```
# Template slides to use (0-based indexing)
# WARNING: Verify indices are within range! Template with 73 slides has indices 0-72
# Mapping: slide numbers from outline -> template slide indices
template_mapping = [
    0,   # Use slide 0 (Title/Cover)
    34,  # Use slide 34 (B1: Title and body)
    34,  # Use slide 34 again (duplicate for second B1)
    50,  # Use slide 50 (E1: Quote)
    54,  # Use slide 54 (F2: Closing + Text)
]
```
Duplicate, reorder, and delete slides using rearrange.py:
- Use the scripts/rearrange.py script to create a new presentation with slides in the desired order:
```
python scripts/rearrange.py template.pptx working.pptx 0,34,34,50,52
```
- The script handles duplicating repeated slides, deleting unused slides, and reordering automatically
- Slide indices are 0-based (first slide is 0, second is 1, etc.)
- The same slide index can appear multiple times to duplicate that slide

Extract ALL text using the inventory.py script:

Run inventory extraction:

python scripts/inventory.py working.pptx text-inventory.json

Read text-inventory.json: Read the entire text-inventory.json file to understand all shapes and their properties. NEVER set any range limits when reading this file.

The inventory JSON structure:

  {
    "slide-0": {
      "shape-0": {
        "placeholder_type": "TITLE",  // or null for non-placeholders
        "left": 1.5,                  // position in inches
        "top": 2.0,
        "width": 7.5,
        "height": 1.2,
        "paragraphs": [
          {
            "text": "Paragraph text",
            // Optional properties (only included when non-default):
            "bullet": true,           // explicit bullet detected
            "level": 0,               // only included when bullet is true
            "alignment": "CENTER",    // CENTER, RIGHT (not LEFT)
            "space_before": 10.0,     // space before paragraph in points
            "space_after": 6.0,       // space after paragraph in points
            "line_spacing": 22.4,     // line spacing in points
            "font_name": "Arial",     // from first run
            "font_size": 14.0,        // in points
            "bold": true,
            "italic": false,
            "underline": false,
            "color": "FF0000"         // RGB color
          }
        ]
      }
    }
  }

Key features:
- Slides: Named as "slide-0", "slide-1", etc.
- Shapes: Ordered by visual position (top-to-bottom, left-to-right) as "shape-0", "shape-1", etc.
- Placeholder types: TITLE, CENTER_TITLE, SUBTITLE, BODY, OBJECT, or null
- Default font size: default_font_size in points extracted from layout placeholders (when available)
- Slide numbers are filtered: Shapes with SLIDE_NUMBER placeholder type are automatically excluded from inventory
- Bullets: When bullet: true, level is always included (even if 0)
- Spacing: space_before, space_after, and line_spacing in points (only included when set)
- Colors: color for RGB (e.g., "FF0000"), theme_color for theme colors (e.g., "DARK_1")
- Properties: Only non-default values are included in the output

Generate replacement text and save the data to a JSON file Based on the text inventory from the previous step:
- CRITICAL: First verify which shapes exist in the inventory - only reference shapes that are actually present
- VALIDATION: The replace.py script will validate that all shapes in your replacement JSON exist in the inventory
  - If you reference a non-existent shape, you'll get an error showing available shapes
  - If you reference a non-existent slide, you'll get an error indicating the slide doesn't exist
  - All validation errors are shown at once before the script exits
- IMPORTANT: The replace.py script uses inventory.py internally to identify ALL text shapes
- AUTOMATIC CLEARING: ALL text shapes from the inventory will be cleared unless you provide "paragraphs" for them
- Add a "paragraphs" field to shapes that need content (not "replacement_paragraphs")
- Shapes without "paragraphs" in the replacement JSON will have their text cleared automatically
- Paragraphs with bullets will be automatically left aligned. Don't set the alignment property on when "bullet": true
- Generate appropriate replacement content for placeholder text
- Use shape size to determine appropriate content length
- CRITICAL: Include paragraph properties from the original inventory - don't just provide text
- IMPORTANT: When bullet: true, do NOT include bullet symbols (•, -, *) in text - they're added automatically
- ESSENTIAL FORMATTING RULES:
  - Headers/titles should typically have "bold": true
  - List items should have "bullet": true, "level": 0 (level is required when bullet is true)
  - Preserve any alignment properties (e.g., "alignment": "CENTER" for centered text)
  - Include font properties when different from default (e.g., "font_size": 14.0, "font_name": "Lora")
  - Colors: Use "color": "FF0000" for RGB or "theme_color": "DARK_1" for theme colors
  - The replacement script expects properly formatted paragraphs, not just text strings
  - Overlapping shapes: Prefer shapes with larger default_font_size or more appropriate placeholder_type
- Save the updated inventory with replacements to replacement-text.json
- WARNING: Different template layouts have different shape counts - always check the actual inventory before creating replacements
Example paragraphs field showing proper formatting:
```
"paragraphs": [
  {
    "text": "New presentation title text",
    "alignment": "CENTER",
    "bold": true
  },
  {
    "text": "Section Header",
    "bold": true
  },
  {
    "text": "First bullet point without bullet symbol",
    "bullet": true,
    "level": 0
  },
  {
    "text": "Red colored text",
    "color": "FF0000"
  },
  {
    "text": "Theme colored text",
    "theme_color": "DARK_1"
  },
  {
    "text": "Regular paragraph text without special formatting"
  }
]
```
Shapes not listed in the replacement JSON are automatically cleared:
```
{
  "slide-0": {
    "shape-0": {
      "paragraphs": [...] // This shape gets new text
    }
    // shape-1 and shape-2 from inventory will be cleared automatically
  }
}
```
Common formatting patterns for presentations:
- Title slides: Bold text, sometimes centered
- Section headers within slides: Bold text
- Bullet lists: Each item needs "bullet": true, "level": 0
- Body text: Usually no special properties needed
- Quotes: May have special alignment or font properties
Apply replacements using the replace.py script
```
python scripts/replace.py working.pptx replacement-text.json output.pptx
```
The script will:
- First extract the inventory of ALL text shapes using functions from inventory.py
- Validate that all shapes in the replacement JSON exist in the inventory
- Clear text from ALL shapes identified in the inventory
- Apply new text only to shapes with "paragraphs" defined in the replacement JSON
- Preserve formatting by applying paragraph properties from the JSON
- Handle bullets, alignment, font properties, and colors automatically
- Save the updated presentation
Example validation errors:
```
ERROR: Invalid shapes in replacement JSON:
  - Shape 'shape-99' not found on 'slide-0'. Available shapes: shape-0, shape-1, shape-4
  - Slide 'slide-999' not found in inventory
```
```
ERROR: Replacement text made overflow worse in these shapes:
  - slide-0/shape-2: overflow worsened by 1.25" (was 0.00", now 1.25")
```

Creating Thumbnail Grids

To create visual thumbnail grids of PowerPoint slides for quick analysis and reference:

python scripts/thumbnail.py template.pptx [output_prefix]

Features:

Creates: thumbnails.jpg (or thumbnails-1.jpg, thumbnails-2.jpg, etc. for large decks)
Default: 5 columns, max 30 slides per grid (5×6)
Custom prefix: python scripts/thumbnail.py template.pptx my-grid
- Note: The output prefix should include the path if you want output in a specific directory (e.g., workspace/my-grid)
Adjust columns: --cols 4 (range: 3-6, affects slides per grid)
Grid limits: 3 cols = 12 slides/grid, 4 cols = 20, 5 cols = 30, 6 cols = 42
Slides are zero-indexed (Slide 0, Slide 1, etc.)

Use cases:

Template analysis: Quickly understand slide layouts and design patterns
Content review: Visual overview of entire presentation
Navigation reference: Find specific slides by their visual appearance
Quality check: Verify all slides are properly formatted

Examples:

# Basic usage
python scripts/thumbnail.py presentation.pptx

# Combine options: custom name, columns
python scripts/thumbnail.py template.pptx analysis --cols 4

Converting Slides to Images

To visually analyze PowerPoint slides, convert them to images using a two-step process:

Convert PPTX to PDF:

soffice --headless --convert-to pdf template.pptx

Convert PDF pages to JPEG images:
```
pdftoppm -jpeg -r 150 template.pdf slide
```
This creates files like slide-1.jpg, slide-2.jpg, etc.

Options:

-r 150: Sets resolution to 150 DPI (adjust for quality/size balance)
-jpeg: Output JPEG format (use -png for PNG if preferred)
-f N: First page to convert (e.g., -f 2 starts from page 2)
-l N: Last page to convert (e.g., -l 5 stops at page 5)
slide: Prefix for output files

Example for specific range:

pdftoppm -jpeg -r 150 -f 2 -l 5 template.pdf slide  # Converts only pages 2-5

Code Style Guidelines

IMPORTANT: When generating code for PPTX operations:

Write concise code
Avoid verbose variable names and redundant operations
Avoid unnecessary print statements

Dependencies

Required dependencies (should already be installed):

markitdown: pip install "markitdown[pptx]" (for text extraction from presentations)
pptxgenjs: npm install -g pptxgenjs (for creating presentations via html2pptx)
playwright: npm install -g playwright (for HTML rendering in html2pptx)
react-icons: npm install -g react-icons react react-dom (for icons)
sharp: npm install -g sharp (for SVG rasterization and image processing)
LibreOffice: sudo apt-get install libreoffice (for PDF conversion)
Poppler: sudo apt-get install poppler-utils (for pdftoppm to convert PDF to images)
defusedxml: pip install defusedxml (for secure XML parsing)

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

About this skill

Automatic

Doc Ops pack

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Source

Imported

sickn33 / antigravity-awesome-skills

skills/pptx-official/SKILL.md

View on GitHub ↗

License MITImported 8/9/2026Version v1Bundled 5 files · scripts

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What it changes

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PPTX creation, editing, and analysis

Overview

Reading and analyzing content

Text extraction

Raw XML access

Unpacking a file

Key file structures

Typography and color extraction

Creating a new PowerPoint presentation without a template

Design Principles

Color Palette Selection

Visual Details Options

Layout Tips

Workflow

Editing an existing PowerPoint presentation

Workflow

Creating a new PowerPoint presentation using a template

Workflow

Creating Thumbnail Grids

Converting Slides to Images

Code Style Guidelines

Dependencies

When to Use

Limitations

SkillSafety

Source

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