OpenAgentSkill Registry Manifest
Skill: RAG In Action
Slug: huangjia2019-rag-in-action
Category: rag-knowledge
Description: End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。

Agent fit:
- Decision: 65/100 Prototype first
- Primary fit: RAG and knowledge
- Role: Fallback candidate

Supply profile:
- Track: Research and knowledge work
- Scenario: RAG and knowledge
- Applicable agents: Claude Code, CLI, Codex, Cursor, Jupyter Notebook
- Maintenance: 11mo since push
- Risk: Needs review

Trust:
- Trust score: 79/100 Strong shortlist
- Audit: 74/100 Needs review

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: huangjia2019
- Claim URL: https://www.openagentskill.com/skills/huangjia2019-rag-in-action#claim-this-skill

Install:
npx skills add huangjia2019/rag-in-action

URLs:
- Web: https://www.openagentskill.com/skills/huangjia2019-rag-in-action
- API: https://www.openagentskill.com/api/agent/skills/huangjia2019-rag-in-action
- Install API: https://www.openagentskill.com/api/skills/huangjia2019-rag-in-action/install
- Repository: https://github.com/huangjia2019/rag-in-action