菜单
Change or review the Python agentic_ai subsystem or Codex-facing MCP integration for this repository. Use when work touches agentic_ai/, the LangGraph pipeline, the mcp_server package, .mcp.json, or cloud adapters for the agentic pipeline.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/hoangsonww/AI-Gov-Content-Curator --skill agentic-pipeline-mcp命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | agentic-pipeline-mcp |
| description | Change or review the Python agentic_ai subsystem or Codex-facing MCP integration for this repository. Use when work touches agentic_ai/, the LangGraph pipeline, the mcp_server package, .mcp.json, or cloud adapters for the agentic pipeline. |
Treat agentic_ai/ as a separate Python project.
mcp_server/app.py, mcp_server/tools/, mcp_server/resources/, mcp_server/prompts/, config/settings.py, and core/pipeline.py together.references/pipeline-map.md for runtime paths and known drift.Use this skill when working anywhere in the SynthoraAI monorepo and you need the repository-specific operating model: which service owns what, which commands are canonical, which wrappers are stale, how to choose tests, and which paths are generated or risky to edit.
Audit this repository for docs-to-code drift, broken paths, stale wrappers, inconsistent environment assumptions, or other mismatches between implementation and operational guidance. Use when Codex needs to verify whether repo docs, scripts, schedules, Dockerfiles, or MCP guidance still match the code.
Use this skill when working on the Python agentic_ai subsystem or Claude Code MCP integration for this repository, including the LangGraph pipeline, local MCP server, cloud adapters, and the project .mcp.json configuration.