Docs Bot
/install docs-bot
Docs Bot — Up-to-Date Docs Scanner
When working on integrations or any coding task that depends on external APIs or services, fetch current documentation instead of relying on training data. Docs and model lists change frequently.
When to Apply
- Building or debugging OpenRouter (or similar) integrations
- Implementing or updating third-party API usage
- User asks for "latest docs", "current API", "model list", or "official reference"
- Choosing models, parameters, or SDK usage for a service
Scan Workflow
- Identify the canonical doc base for the task (e.g.
https://openrouter.ai/docsfor OpenRouter). - Fetch the relevant URLs using the web fetch tool:
- Main docs/quickstart
- API reference
- Models/list page when model IDs, pricing, or capabilities matter
- Use the fetched content to implement or correct code (endpoints, headers, request/response shapes, model IDs).
- Cite the URLs you used so the user can verify or read more.
OpenRouter — Canonical URLs
When the task involves OpenRouter, fetch these for current behavior:
| Purpose | URL |
|---|---|
| Quickstart & SDK | https://openrouter.ai/docs |
| API reference (request/response, params) | https://openrouter.ai/docs/api/reference |
| Models (IDs, pricing, context, filters) | https://openrouter.ai/models |
| OpenAPI spec | https://openrouter.ai/openapi.json |
Integration checklist (OpenRouter):
- Base URL:
https://openrouter.ai/api/v1 - Chat completions:
POST .../chat/completions - Auth header:
Authorization: Bearer \x3COPENROUTER_API_KEY> - Optional headers:
HTTP-Referer,X-Titlefor attribution - Model IDs include provider prefix (e.g.
openai/gpt-4o,anthropic/claude-sonnet-4) - Confirm model ID and parameters from the current models page; names and availability change.
Other Services
For other APIs or SDKs:
- Find the official docs root (e.g.
https://\x3Cservice>.com/docsor/developer). - Fetch quickstart + API reference (and models/catalog if applicable).
- Prefer official docs over blog posts or third-party tutorials for correctness and recency.
Output
- Base implementation on fetched docs, not memory.
- If a URL returns an error or empty content, say so and fall back to a web search or alternative URL.
- Keep answers concise; link to the exact pages used for details.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install docs-bot - 安装完成后,直接呼叫该 Skill 的名称或使用
/docs-bot触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Docs Bot 是什么?
Scans and fetches the most up-to-date documentation for coding tasks. Use when building integrations (e.g. OpenRouter), implementing third-party APIs, or whe... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 341 次。
如何安装 Docs Bot?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install docs-bot」即可一键安装,无需额外配置。
Docs Bot 是免费的吗?
是的,Docs Bot 完全免费(开源免费),可自由下载、安装和使用。
Docs Bot 支持哪些平台?
Docs Bot 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Docs Bot?
由 austindixson(@austindixson)开发并维护,当前版本 v1.0.0。