菜单
Agent Skill for DeepWiki via MCPorter. Use when answering questions about a GitHub repository's architecture, codebase structure, or implementation details.
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。
基于 SOC 职业分类
Agent Skill for planning implementation work into comprehensive, testable steps. Use before implementation to create a clear roadmap for execution.
Agent Skill for writing and reviewing durable design specs. Use when the user asks to write, formalize, save, review, or approve a spec, design document, RFC, or implementation-ready proposal. If the direction is still vague or unsettled, use `brainstorming` first before producing the spec. If the direction is already clear and no spec is needed, use `plan`.
Agent Skill for spawning new AI agents with interactive TUI in tmux. Use when work can be offloaded to new or existing AI agents (exploration, code review, second opinions, parallel work, etc.). Can also be used if spawning new agents with different model families (e.g. Spawn GPT models when you are Claude Code, Spawn Claude models when you are Codex, Or spawn any other models (e.g. DeepSeek, Gemini) with Pi). Prefer harness's own subagent tools when no need for a different model.
Agent Skill for OpenCLI. Use when the user wants to control websites through the `opencli` CLI, run or inspect OpenCLI site/app/external adapters, use the OpenCLI browser bridge/CDP automation
Agent Skill for collaborative brainstorming and design exploration. Use when the user wants to think through an idea, compare options, clarify trade-offs, or get a quick recommendation, without forcing a written artifact. If the user wants a saved, reviewed design spec, use `design-spec`.
Agent Skill for working with Python. Use when writing, editing, or reviewing Python code and scripts.
| name | deepwiki |
| description | Agent Skill for DeepWiki via MCPorter. Use when answering questions about a GitHub repository's architecture, codebase structure, or implementation details. |
Use the mcporter skill with this explicit MCP target:
deepwikihttps://mcp.deepwiki.com/mcpThen make MCP calls through mcporter.
Prefer ask_question for focused questions. Use read_wiki_structure to discover topics and read_wiki_contents to read the generated docs.