rag implementer
✓Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM responses in external data. Covers embedding strategy, vector stores, retrieval pipelines, and evaluation.
Installation
SKILL.md
Use RAG when you need LLMs to access fresh, domain-specific, or proprietary knowledge that wasn't in their training data.
If any checkbox is unchecked: Go back to product-strategist or mvp-builder skills to validate first.
See also: PLAYBOOKS/validation-first-development.md for step-by-step validation process.
Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM responses in external data. Covers embedding strategy, vector stores, retrieval pipelines, and evaluation. Source: daffy0208/ai-dev-standards.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/daffy0208/ai-dev-standards --skill rag implementer- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is rag implementer?
Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM responses in external data. Covers embedding strategy, vector stores, retrieval pipelines, and evaluation. Source: daffy0208/ai-dev-standards.
How do I install rag implementer?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/daffy0208/ai-dev-standards --skill rag implementer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/daffy0208/ai-dev-standards
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01