bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Query DeepWiki MCP to get AI-grounded answers about any public GitHub repository. Use when answering questions about a repo's source code, architecture, configuration, or internals. Triggers on "how does X work in <repo>", "deepwiki", "look up in codebase", "ask deepwiki", "check the source code".
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install chunhualiao/deepwiki-mcp打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Query any public GitHub repository using DeepWiki's AI-powered documentation and Q&A service. No API key, no auth, free.
MCP endpoint: https://mcp.deepwiki.com/mcp
This skill handles:
This skill does NOT handle:
| Input | Required | Description |
|---|---|---|
| Question | Yes | Natural-language question about a repo |
| Repository | No | owner/repo format. Defaults to openclaw/openclaw |
| Action | No | ask (default), topics, or docs |
The script is located in this skill's directory at scripts/deepwiki.sh.
# Ask a question (defaults to openclaw/openclaw)
<skill_dir>/scripts/deepwiki.sh ask "How does session compaction work?"
# Ask about a specific repo
<skill_dir>/scripts/deepwiki.sh ask facebook/react "How does concurrent mode work?"
# List documentation topics
<skill_dir>/scripts/deepwiki.sh topics openclaw/openclaw
# Get full wiki contents (large output — prefer ask for targeted queries)
<skill_dir>/scripts/deepwiki.sh docs openclaw/openclaw
Replace <skill_dir> with the directory containing this SKILL.md.
DeepWiki returns AI-generated answers grounded in the repo's actual source code. The response typically includes:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
An OpenClaw skill that gives agents instant access to DeepWiki, an AI-powered documentation and Q&A service for any public GitHub repository.
No API key. No auth. Free.
DeepWiki crawls public GitHub repos and builds a searchable, AI-grounded wiki. This skill exposes three capabilities via the DeepWiki MCP server:
| Action | Description |
|---|---|
ask |
Ask any natural-language question about a repo — get a sourced, grounded answer |
topics |
List all documentation topics DeepWiki has indexed for a repo |
docs |
Fetch the full wiki contents for a repo |
Copy the skill directory to your OpenClaw workspace skills folder:
cp -r deepwiki ~/.openclaw/<workspace>/skills/
OpenClaw auto-discovers skills in <workspace>/skills/. Restart the gateway to activate.
The skill triggers automatically when asking about repository source code, architecture, or internals.
# Ask a question (defaults to openclaw/openclaw)
scripts/deepwiki.sh ask "How does session compaction work?"
# Ask about a specific repo
scripts/deepwiki.sh ask facebook/react "How does concurrent mode work?"
# List documentation topics
scripts/deepwiki.sh topics openclaw/openclaw
# Get full wiki contents
scripts/deepwiki.sh docs openclaw/openclaw
DeepWiki exposes a Model Context Protocol (MCP) server at https://mcp.deepwiki.com/mcp using Streamable HTTP (JSON-RPC over SSE).
The helper script:
# DeepWiki MCP Query any public GitHub repository using DeepWiki's AI-powered documentation and Q&A service. No API key, no auth, free. **MCP endpoint:** `https://mcp.deepwiki.com/mcp` ## Scope & Boundaries **This skill handles:** - Asking natural-language questions about any public GitHub repo - Listing documentation topics indexed by DeepWiki - Fetching full wiki contents for a repo - Running queries via the included helper script **This skill does NOT handle:** - Private repository access (requires paid Devin account) - Modifying repositories or submitting PRs - Real-time code analysis (DeepWiki may lag a few days behind latest commits) - Local code search or grep (use standard file tools for that) ## Inputs | Input | Required | Description | |-------|----------|-------------| | Question | Yes | Natural-language question about a repo | | Repository | No | `owner/repo` format. Defaults to `openclaw/openclaw` | | Action | No | `ask` (default), `topics`, or `docs` | ## Outputs - AI-grounded text answer with source references from the repo - Or a structured list of documentation topics - Or full wiki contents (large output) ## Workflow ### Step 1 — Run the helper script The script is located in this skill's directory at `scripts/deepwiki.sh`. ```bash # Ask a question (defaults to openclaw/openclaw) <skill_dir>/scripts/deepwiki.sh ask "How does session compaction work?" # Ask about a specific repo <skill_dir>/scripts/deepwiki.sh ask facebook/react "How does concurrent mode work?" # List documentation topics <skill_dir>/scripts/deepwiki.sh topics openclaw/openclaw # Get full wiki contents (large output — prefer ask for targeted queries) <skill_dir>/scripts/deepwiki.sh docs openclaw/openclaw ``` Replace `<skill_dir>` with the directory containing this SKILL.md. ### Step 2 — Interpret and relay the answer DeepWiki returns AI-generated answers grounded in the repo's actual source code. The response typically includes: - Direct answer to the question - R...
# DeepWiki MCP An [OpenClaw](https://openclaw.ai) skill that gives agents instant access to [DeepWiki](https://deepwiki.com), an AI-powered documentation and Q&A service for any public GitHub repository. No API key. No auth. Free. ## What It Does DeepWiki crawls public GitHub repos and builds a searchable, AI-grounded wiki. This skill exposes three capabilities via the [DeepWiki MCP server](https://mcp.deepwiki.com): | Action | Description | |--------|-------------| | `ask` | Ask any natural-language question about a repo — get a sourced, grounded answer | | `topics` | List all documentation topics DeepWiki has indexed for a repo | | `docs` | Fetch the full wiki contents for a repo | ## Installation Copy the skill directory to your OpenClaw workspace skills folder: ```bash cp -r deepwiki ~/.openclaw/<workspace>/skills/ ``` OpenClaw auto-discovers skills in `<workspace>/skills/`. Restart the gateway to activate. ### Requirements - bash, curl, python3 (standard on most systems) - No API keys or authentication needed ## Usage The skill triggers automatically when asking about repository source code, architecture, or internals. ### Example prompts - "How does session compaction work in OpenClaw?" - "Ask DeepWiki about React's concurrent mode" - "Look up the config schema in the codebase" - "What's the architecture of torvalds/linux?" ### Helper script ```bash # Ask a question (defaults to openclaw/openclaw) scripts/deepwiki.sh ask "How does session compaction work?" # Ask about a specific repo scripts/deepwiki.sh ask facebook/react "How does concurrent mode work?" # List documentation topics scripts/deepwiki.sh topics openclaw/openclaw # Get full wiki contents scripts/deepwiki.sh docs openclaw/openclaw ``` ## How It Works DeepWiki exposes a [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server at `https://mcp.deepwiki.com/mcp` using Streamable HTTP (JSON-RPC over SSE). The helper script: 1. Builds the JSON-RPC payload 2. Posts to...
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