BytesAgain › Skills › RAG检索增强
🦀 ClawHub
RAG检索增强
by @kiwifruit13
当需要RAG检索内容时触发;完整的RAG系统优化方案,涵盖21+种策略(含Self-RAG、命题分块、片段提取、上下文压缩、引用溯源、查询意图、多跳检索、文档预处理);提供诊断工具、实现代码、配置模板与评估框架;帮助构建高准确率生产级RAG应用;当用户需要优化知识库问答、提升检索准确率、评估RAG系统效果、解决检...
Versionv1.0.0
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Manusinvite
Task-oriented agent. Great for testing AI skills end-to-end.
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OpenClaw
Local-first agent. Install skills via ClawHub CLI.
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Claude Code
Anthropic's coding agent. Paste the prompt or SKILL.md into your session.
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Cursor
AI-powered IDE. Use the smoke-test prompt in Cursor Agent.
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Continue.dev
Open-source AI code assistant. Add SKILL.md as a custom tool.
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Windsurf
Agentic IDE by Codeium. Paste the prompt into Cascade.
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Cline
VS Code extension for autonomous coding with MCP tools.
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Copilot Workspace
GitHub's AI dev environment. Suitable for code-generation skills.
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1
Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.2
Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.3
Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.I just installed the RAG检索增强 skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.