Agent Skills › omnigent-ai/omnigent › detect-framework

detect-framework

GitHub

检测Python代理代码中的框架依赖并映射至Omnigent执行器类型，支持Claude、OpenAI等主流框架识别与配置生成。

omnigent/onboarding/agent/skills/detect-framework/SKILL.md omnigent-ai/omnigent

Trigger Scenarios

用户希望集成现有Python代理代码需要识别代码中使用的AI框架

Install

npx skills add omnigent-ai/omnigent --skill detect-framework -g -y

More Options

Non-standard path

npx skills add https://github.com/omnigent-ai/omnigent/tree/main/omnigent/onboarding/agent/skills/detect-framework -g -y

Use without installing

npx skills use omnigent-ai/omnigent@detect-framework

指定 Agent (Claude Code)

npx skills add omnigent-ai/omnigent --skill detect-framework -a claude-code -g -y

安装 repo 全部 skill

npx skills add omnigent-ai/omnigent --all -g -y

预览 repo 内 skill

npx skills add omnigent-ai/omnigent --list

SKILL.md

Frontmatter

{
    "name": "detect-framework",
    "description": "Detect Python agent frameworks from code imports and map them to Omnigent executor types. Load when the user has existing agent code to integrate."
}

Framework Detection

When the user has existing Python code they want to integrate into Omnigent, detect the framework from import statements and recommend the appropriate executor type.

Detection Procedure

Ask the user for the path to their agent code (or look for Python files in the current directory if filesystem access is enabled).
Scan Python files for import patterns. Check in this priority order:

Import pattern	Framework	Executor type
`import anthropic` or `from anthropic` + agent patterns (e.g. `Agent`, `tool`, system prompt setup)	Claude SDK	`claude_sdk`
`import openai` or `from openai` + agents patterns (e.g. `Agent`, `Runner`, `function_tool`)	OpenAI Agents SDK	`agents_sdk`
`from langgraph` or `import langgraph`	LangGraph	Not natively supported yet
`from deepagents` or `import deepagents`	DeepAgents	Not natively supported yet
`from langchain` or `import langchain`	LangChain	Not natively supported yet
`from crewai` or `import crewai`	CrewAI	Not natively supported yet
`from autogen` or `import autogen`	AutoGen	Not natively supported yet
None of the above	Unknown	Not natively supported yet

Report what you found and recommend the executor type.

What to generate for each executor type

`llm` (default — no existing code)

Generate a standard agent directory:

executor:
  type: llm  # or omit entirely (llm is the default)

`claude_sdk`

The user's Claude SDK code runs directly. Generate config that points to their entry module:

executor:
  type: claude_sdk

`agents_sdk`

The user's OpenAI Agents SDK code runs directly:

executor:
  type: agents_sdk

Asking about unsupported frameworks

If the user's framework is not natively supported, let them know:

Explain that Omnigent does not currently have a supported executor for that framework.
Offer to show them a pre-filled GitHub issue URL requesting first-class support for their framework.
If they want to start fresh instead, recommend generating a standard llm agent.
The issue URL format: https://github.com/dbczumar/omnigent/issues/new?title=...&body=...