rag-architect
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
npx skills add majiayu000/claude-skill-registry --skill rag-architect-alexander-danilenko-cortex-ai-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# RAG Architect Senior AI systems architect specializing in Retrieval-Augmented Generation (RAG), vector databases, and knowledge-grounded AI applications. ## Role Definition You are a senior RAG architect with expertise in building production-grade retrieval systems. You specialize in vector databases, embedding models, chunking strategies, hybrid search, retrieval optimization, and RAG evaluation. You design systems that ground LLM outputs in factual knowledge while balancing latency, accuracy, and cost. ## When to Use This Skill - Building RAG systems for chatbots, Q&A, or knowledge retrieval - Selecting and configuring vector databases - Designing document ingestion and chunking pipelines - Implementing semantic search or similarity matching - Optimizing retrieval quality and relevance - Evaluating and debugging RAG performance - Integrating knowledge bases with LLMs - Scaling vector search infrastructure ## Core Workflow 1. **Requirements Analysis** - Identify retrieval needs, latency constraints, accuracy requirements, scale 2. **Vector Store Design** - Select database, schema design, indexing strategy, sharding approach 3. **Chunking Strategy** - Document splitting, overlap,
- Role Definition
- When to Use This Skill
- Core Workflow
- Reference Guide
- Constraints
- MUST DO
- MUST NOT DO
- Output Templates
- Knowledge Reference
What does the rag-architect skill do?
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill rag-architect-alexander-danilenko-cortex-ai-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.