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Master Router — Game-Development Skill Dispatcher · gamedev-skills | DecimalAI

Agent Toolingby gamedev-skills

Master Router — Game-Development Skill Dispatcher

Routes any game-development request to the right specialized skill(s): it detects the engine (Godot, Unity, Unreal, Bevy, Phaser, PixiJS, three.js, LÖVE, pygame, Roblox) and the task, then reads the chosen skill before acting. Use to make a game or to decide which skill applies — for players, levels, enemies, shaders, UI/UX, cameras, game feel, physics, input, audio, saving, multiplayer, AI, dialogue, procedural generation, or performance, for genres (platformer, roguelike, RPG, FPS, tower-defen

Never made a case worseMaintained

SkillScore

SkillScore87/100

Test results 87

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

22%87%of test cases passed +65 pts

Without skill5 of 23

With skill20 of 23

15 fixed5 passed either way3 still failing0 broke

Model 9/28/2026v5 · latest is v6

This benchmark measured an earlier version of the skill.

A newer attempt on gemini-3.8-flash on 11/1/2026 did not produce a publishable comparison (graded differently). The snapshot above is the previously measured run.

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskMy package.json lists `phaser` in dependencies. I am building a fast prototype for a game jam and want to publish it to itch.io using butler. Which skill files need to be selected?

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 gamedev-skills-router
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("gamedev-skills-router")
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 gamedev-skills-router

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/gamedev-skills-router/SKILL.md https://app.decimal.ai/s/gamedev-skills-router/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/gamedev-skills-router/SKILL.md

This gets SKILL.md only. The skill's 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

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

skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/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/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

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

skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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("gamedev-skills-router")
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/gamedev-skills-router/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/gamedev-skills-router/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 3 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 gamedev-skills-router

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/gamedev-skills-router/SKILL.md https://app.decimal.ai/s/gamedev-skills-router/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/gamedev-skills-router/SKILL.md

This gets SKILL.md only. The skill's 3 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/gamedev-skills-router/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/gamedev-skills-router.json

This gets SKILL.md only. The skill's 3 other files are not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v6 (v5 tested 9/28/2026)
Source: gamedev-skills/awesome-gamedev-agent-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

Master Router — Game-Development Skill Dispatcher

The entry point for game-development work. It fingerprints the project to pick one engine, classifies the task from the request, names the minimal set of specialized skills, and tells you to read them before acting. It dispatches and composes — it does not re-teach engine APIs.

When to use

Use at the start of any game-development request — building or debugging a game, level, player, enemy, shader, UI, save system, multiplayer, input, audio, AI, dialogue, procedural content, or visual asset set — to decide which skill(s) to load.
Use when the user names an engine or genre, says "make a game", or asks "which skill should I use?".

When not to use: once the right skill is loaded and the task is squarely inside it, work from that skill — don't re-run the router every turn. Re-route only when the task pivots to a new engine or concern (router step 6).

Routing algorithm

Detect engine and version — project fingerprint → at most one engine skill set (or "unknown"), then read the project's version source. §1.
Classify task — phrasing → discipline(s) + at most one genre + workflow(s). §2.
Resolve — the minimal set: engine skill(s) + discipline(s) + genre + workflow(s). §3.
Read (disclosure) — open only the chosen SKILL.md bodies; references/ only on demand. §4.
Compose — order: engine fundamentals → discipline concept → genre glue → workflow. §5.
Fallback — preserve existing engines, including custom/proprietary ones; bind missing APIs from project evidence and state any gap. For a new project with no engine preference, see §6.

1. Engine detection (project fingerprint)

Scan for the highest-confidence signal; choose exactly one engine for the target project. An explicitly identified custom/proprietary engine is a valid result even without a catalog skill. Check the target's build and runtime entry point before treating a bundled library/tool as its engine.

#	Engine	Primary signal	Skill set root
1	Godot	`project.godot`	`skills/godot/`
2	Unreal	`*.uproject`	`skills/unreal/`
3	Unity	`Assets/` and `ProjectSettings/ProjectVersion.txt`	`skills/unity/`
4	Ebitengine	`go.mod` requiring `github.com/hajimehoshi/ebiten/v2`	`skills/ebitengine/`
5	Bevy	`Cargo.toml` with a `bevy` dependency	`skills/other-engines/bevy-ecs/`
6	Phaser	`package.json` dep `phaser`	`skills/web-engines/phaser-*`
7	PixiJS	`package.json` dep `pixi.js`	`skills/web-engines/pixijs-rendering/`
8	three.js	`package.json` dep `three`	`skills/web-engines/threejs-*`
9	Defold	`game.project`	`skills/other-engines/defold-core/`
10	LÖVE	`conf.lua` / `main.lua` calling `love.*`	`skills/other-engines/love2d-core/`
11	pygame	`*.py` with `import pygame`	`skills/other-engines/pygame-core/`
12	Roblox	`.rbxl(x)` / `.project.json` (Rojo)	`skills/other-engines/roblox-*`

For secondary signals, the Godot-C#/Unity/Bevy, Defold/LÖVE/Lua and multi-web disambiguation rules, monorepos, and plain-text engine mentions, read references/engine-detection.md.

After identifying the engine, read its version from project metadata or dependency locks before choosing APIs. Existing projects keep their pinned version unless migration is requested; the catalog baseline is only for new projects. The exact version sources are in the detection reference; each engine skill states its new-project baseline, and the catalog-wide table is docs/VERSION-SUPPORT.md in the source repository (it is not installed with the router).

2. Task classification (phrasing → category)

After the engine, read the request for task signals (three additive categories):

disciplines (cross-engine concepts): create-game-assets, game-ai, ai-behavior-trees-utility-ai, procedural-gen, dialogue-systems, save-systems, audio-design, shader-programming, physics-tuning, level-design, input-systems, game-feel, camera-systems, game-ui-ux, performance-optimization. Triggered by concept words ("sprite sheet", "art direction", "texture", "pathfinding", "save slots", "fragment shader", "screen shake", "camera follow", "HUD/menu", "optimize/low FPS").
genres (whole-game templates): platformer, roguelike, rpg, fps-shooter, tower-defense, card-game, visual-novel, survival-crafting, puzzle. Triggered by genre words ("make a roguelike", "deckbuilder").
workflows (process/shipping): game-jam, prototype-fast, steam-publish, itch-publish. Triggered by process words ("publish on Steam", "vertical slice").

File signals sharpen this: *.yarn/*.ink → dialogue-systems/visual-novel; steam_appid.txt → steam-publish; *.inputactions → unity-input-system.

3. Routing table (task → category → skill)

3a. Engine skills — read the one matching the detected engine + sub-task

Godot (skills/godot/): language godot-gdscript / godot-csharp; structure godot-nodes-scenes, godot-signals-groups; 2D godot-2d-movement, godot-tilemap; 3D godot-3d-essentials; physics godot-physics; UI godot-ui-control; animation godot-animation; shaders godot-shaders; data godot-resources; audio godot-audio; netcode godot-multiplayer; headless CLI tests godot-gdscript-headless-testing; ship godot-export.
Unity (skills/unity/): scripting unity-csharp-scripting; input unity-input-system; physics unity-physics; animation unity-animation; data unity-scriptableobjects; 2D unity-tilemap-2d; AI nav unity-navmesh; ship unity-build-pipeline.
Unreal (skills/unreal/): visual scripting unreal-blueprints; C++ gameplay unreal-cpp-gameplay; input unreal-enhanced-input; AI unreal-behavior-trees; VFX unreal-niagara; ship unreal-packaging.
Ebitengine (skills/ebitengine/): ebitengine-game for Go 2D games and focused input, rendering, text, audio, state/testing and build work. Select only its relevant references; generating the starter is optional for an existing project.
Web (skills/web-engines/): phaser-core, phaser-arcade-physics; pixijs-rendering; threejs-scene-setup, threejs-gltf-loading, threejs-materials-lighting.
Other (skills/other-engines/): bevy-ecs, pygame-core, love2d-core; Defold defold-core (collections, game objects, scripts, input, messages, factories, proxies, Bob builds); Roblox foundation roblox-luau, persistence roblox-datastores, UI roblox-ui, remotes/security roblox-networking, character lifecycle roblox-characters, simulation/queries roblox-physics, in-Studio operation roblox-studio-workflow, and simulator/tycoon/idle economy balancing roblox-simulator-economy.

3b. Disciplines — load with the engine skill (concept ↔ engine API)

Concept (`says:`)	Discipline skill	Pairs with (engine API)
art direction, game assets, sprites, tilesets, textures, icons, 3D props	`create-game-assets`	engine importer/rendering skill; `imagegen` when available
enemy AI, behavior tree, pathfinding, steering	`game-ai`	`unity-navmesh` / `unreal-behavior-trees` / Godot nav
BT runtime, blackboard, decorator, selector/sequence, utility AI, response curve, consideration	`ai-behavior-trees-utility-ai`	`game-ai` (model choice) / `unreal-behavior-trees` (engine assets)
procedural, noise, seed, dungeon generator, WFC	`procedural-gen`	engine tilemap/grid skill
dialogue, Yarn, Ink, conversation tree	`dialogue-systems`	engine UI skill
save/load, slots, persistence	`save-systems`	`roblox-datastores` / engine IO
adaptive music, mixer, ducking, SFX	`audio-design`	`godot-audio` / Unity AudioMixer
shader, fragment, dissolve/outline	`shader-programming`	`godot-shaders` / engine material
jitter, tunneling, fixed timestep	`physics-tuning`	`godot-physics` / `unity-physics`
whitebox, blockout, tile layout, pacing	`level-design`	`godot-tilemap` / `unity-tilemap-2d`
rebind, gamepad, input buffering	`input-systems`	`unity-input-system` / `unreal-enhanced-input` / Godot InputMap
screen shake, hit-stop, juice, squash & stretch, "make it punchy"	`game-feel`	engine animation/tween + `camera-systems` (shake)
camera follow, deadzone, look-ahead, orbit, first-person	`camera-systems`	`godot-2d-movement` / `godot-3d-essentials` / Cinemachine
HUD, menu, UI layout, scaling, safe area, focus nav	`game-ui-ux`	`godot-ui-control` / Unity UI (UGUI/UI Toolkit)
low FPS, optimize, draw calls, GC spike, pooling, profiler	`performance-optimization`	engine profiler + `physics-tuning`

For Roblox, compose cross-engine concepts with the focused engine skill: HUD/menu requests use roblox-ui + game-ui-ux (+ input-systems for gameplay bindings); remote exploit or replication requests use roblox-networking + roblox-luau; respawn/rig requests use roblox-characters; physical simulation/query requests use roblox-physics (+ physics-tuning for stability); simulator, tycoon, clicker or idle economy requests (upgrade costs, rebirths, offline earnings, big numbers, paid eggs/crates odds) use roblox-simulator-economy + roblox-networking (+ roblox-datastores for saving); direct place editing also uses roblox-studio-workflow.

For Ebitengine, bind engine-specific slots to ebitengine-game and its relevant reference (input, rendering, text/UI, audio, gameplay, tilemaps or state/testing). Add only the needed disciplines; do not load Godot or Unity APIs from a genre's example bindings. Native 3D and a ready-made network backend are not supplied by this 2D skill; state those gaps when relevant.

For Defold, bind engine-specific slots (movement, input, spawning, level loading, build) to defold-core and add only the needed disciplines, e.g. "add player movement to my Defold game" → defold-core + input-systems (+ platformer for a platformer). Defold has no dedicated GUI, tilemap or physics skill yet; use defold-core and its build reference's pointers, and state the gap.

3c. Genres — compose engine + disciplines (bind `*` to the detected engine)

Genre (`says:`)	composes
platformer, jump, double jump	`godot-2d-movement` (or engine physics) + `godot-tilemap`/`unity-tilemap-2d` + `level-design` + `camera-systems` + `game-feel`
roguelike, procedural dungeon, permadeath	`procedural-gen` + `godot-tilemap`/`unity-tilemap-2d` + `game-ai` + `save-systems` + `game-feel`
RPG, stats, inventory, quests	`godot-resources`/`unity-scriptableobjects` + `dialogue-systems` + `save-systems` + `game-ui-ux`
FPS, first-person, hitscan	`godot-3d-essentials`/`unreal-cpp-gameplay` + `input-systems` + `game-ai` + `camera-systems` + `game-feel`
tower defense, waves, lanes	`game-ai` + engine movement + `level-design` + `game-ui-ux`
card game, deckbuilder, TCG	`godot-resources`/`unity-scriptableobjects` + `game-ui-ux` (+ engine UI)
visual novel, branching story	`dialogue-systems` + `save-systems` + `game-ui-ux`
survival, crafting, gathering	`save-systems` + `godot-resources`/`unity-scriptableobjects` + `procedural-gen` + `game-ui-ux`
puzzle, match-3, grid logic	`godot-tilemap`/`unity-tilemap-2d` + `level-design` + `game-feel`

3d. Workflows — engine-independent process & shipping

game-jam (jam, 48-hour, Ludum Dare/GMTK) · prototype-fast (vertical slice, MVP, greybox) · steam-publish (Steam, Steamworks, depot; steam_appid.txt) · itch-publish (itch.io, butler; .itch.toml).

For the exhaustive per-skill trigger list and every engine binding, read references/routing-table.md.

4. Read protocol (progressive disclosure)

Preloaded: only each skill's name + description are in context. Decide from those plus the fingerprint — do not pre-read bodies.
On selection: read the body of each chosen skills/<category>/<name>/SKILL.md — and only those. Never bulk-load a whole category.
On demand: read a skill's bundled references/ files only when the subtask needs that depth (the skill body says when).
Re-route on pivot: if the task changes (movement → saving), select and read the newly relevant skill instead of keeping everything loaded.

Announce what you load and why, e.g.: "Detected Godot (project.godot). Loading godot-2d-movement for the controller and platformer for jump feel; will open the platformer skill's feel-tuning.md reference if you want coyote-time/buffering."

5. Composition rules

One engine, additive concepts. Use its engine skill set when available; for an unsupported engine, use project evidence as the API binding instead. Add the disciplines the task needs and usually at most one genre. Workflows attach independently.
Order: engine fundamentals → discipline concept → genre orchestration → workflow. For asset production, approve the visual target before generating a family, then finish with the engine import settings and an in-context capture.
Ownership on overlap: the engine skill owns API/syntax; the discipline skill owns the portable concept/algorithm and defers to the engine skill for code; the genre skill owns structure/glue and links out instead of re-teaching a primitive.
Hand-offs: when a genre's composes names a slot like *-2d-movement, bind it to the detected engine. If that engine lacks the exact skill, see §6 and references/routing-table.md ("Binding gaps").

6. Unknown-engine & no-skill fallback

Engine unknown (no fingerprint, no engine named):

Check the request for a plain-text engine name ("in Unity", "using Phaser"). If found, adopt it.
If the task is a pure concept/genre/workflow question, route straight to the engine-agnostic discipline/genre/workflow skill — no engine needed ("what's a good save format?" → save-systems).
Only if engine choice actually blocks the answer, ask one targeted question about the engine or project entry point. For a new project with no existing engine and no user preference, default to Godot (the most fully covered engine here) and say so.
Never invent an engine or load an engine skill on a guess.

Custom, proprietary, in-house, or unsupported engine: keep that engine and its toolchain. Read references/custom-engines.md to map the relevant discipline/genre concepts onto verified project APIs, using local documentation, headers/source, examples, and build/test commands. No catalog engine skill is required. Do not switch engines or invent a compatible API.

Catalog engine known but no skill covers the subtask: load the closest skill for that same engine plus the relevant discipline and state the gap plainly (e.g. "no dedicated Unity 2D-movement skill; using unity-csharp-scripting + unity-physics"). Never fabricate a skill name.

Conflicting/multiple genres: pick the dominant genre from the phrasing; mention the secondary and offer to load it if the user confirms.

Worked examples

Request	Detected engine	Skills loaded (in order)
"add a double jump to my Godot player"	Godot (`project.godot`)	`godot-2d-movement` → `platformer`
"make an inventory for my Unity RPG"	Unity (`Assets/`+`ProjectSettings/`)	`unity-scriptableobjects` → `rpg` → `save-systems`
"add an inventory to my proprietary C++ RPG"	existing custom engine	custom-engine reference → `rpg` + `save-systems`; bind data/UI to verified project APIs
"build a 2D puzzle in Go with Ebitengine"	Ebitengine (named; later `go.mod`)	`ebitengine-game` → `puzzle`
"fix a stale HUD in my Go game"	Ebitengine (`go.mod` + game imports)	`ebitengine-game` → `game-ui-ux`; read text/UI, no new scaffold
"add player movement to my Defold game"	Defold (`game.project`)	`defold-core` → `input-systems`
"rebirths in my Roblox simulator take forever"	Roblox (`*.project.json` / place file)	`roblox-luau` → `roblox-simulator-economy` → `roblox-networking`
"procedural dungeon roguelike in Godot"	Godot	`godot-tilemap` → `procedural-gen` → `roguelike`
"branching dialogue from a `.yarn` file"	(none required)	`dialogue-systems` (+ engine UI skill if an engine is detected)
"how do I design save slots with migration?"	(none)	`save-systems` only
"publish my game on itch with butler"	(any/none)	`itch-publish` only
"I want to make a game but don't know what to use"	unknown → ask, default Godot	router asks once; then e.g. `godot-nodes-scenes`
"make hits feel punchy in my Godot game"	Godot (`project.godot`)	`game-feel` (+ `camera-systems` for shake)
"the camera should follow my player smoothly"	(detected engine)	`camera-systems` (+ engine movement skill)
"my Unity game drops to 30 FPS, optimize it"	Unity (`Assets/`+`ProjectSettings/`)	`performance-optimization` (profile first) → engine skill
"make a cohesive pixel-art player and enemy set"	(detected engine)	`create-game-assets` → relevant engine import/rendering skill

References

Full engine fingerprints, secondary signals, and disambiguation: references/engine-detection.md.
Exhaustive per-skill trigger words, engine bindings, and binding gaps: references/routing-table.md.
Custom/proprietary or unsupported engine integration: references/custom-engines.md.

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gamedev-skills / awesome-gamedev-agent-skills

router/SKILL.md

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License Apache-2.0Imported 10/28/2026Version v6Bundled 3 files

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Master Router — Game-Development Skill Dispatcher

When to use

Routing algorithm

1. Engine detection (project fingerprint)

2. Task classification (phrasing → category)

3. Routing table (task → category → skill)

3a. Engine skills — read the one matching the detected engine + sub-task

3b. Disciplines — load with the engine skill (concept ↔ engine API)

3c. Genres — compose engine + disciplines (bind * to the detected engine)

3d. Workflows — engine-independent process & shipping

4. Read protocol (progressive disclosure)

5. Composition rules

6. Unknown-engine & no-skill fallback

Worked examples

References

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More in the registry

3c. Genres — compose engine + disciplines (bind `*` to the detected engine)