Build RAG pipelines with chunking, embedding, and retrieval. TRIGGERS - Use when user needs help with ai-rag-pipeline related tasks.
Scanned 9/7/2026
Install to Claude Code
npx -y skills add Winbda/claude-skills-collection --skill ai-rag-pipeline --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: ai-rag-pipeline
description: |
Build RAG pipelines with chunking, embedding, and retrieval.
TRIGGERS - Use when user needs help with ai-rag-pipeline related tasks.
category: AI & Automation
version: 1.0
---
# ai-rag-pipeline
## Workflow
1. **Understand Requirements** - Context, audience, goals, constraints
2. **Research & Analyze** - Best practices, frameworks, background
3. **Create Draft** - Structured, actionable, tailored output
4. **Review & Refine** - Quality check, consistency, completeness
## Output Format
**Context:** [Situation] | **Objective:** [Goal] | **Audience:** [Who]
### Key Components
| Component | Details | Owner | Timeline |
|-----------|---------|-------|----------|
| [Item] | [Specifics] | [Who] | [When] |
### Action Plan
1. **Immediate:** [First steps]
2. **Short-term:** [Build momentum]
3. **Medium-term:** [Scale]
### Success Metrics
| Metric | Target | Method |
|--------|--------|--------|
| [KPI] | [Goal] | [Track] |
## Quality Checklist
- [ ] Tailored to context
- [ ] Actionable steps
- [ ] Measurable criteria
- [ ] Professional format
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.