rag-architect
rag-architect is a RAG & retrieval skill for AI agents, published by kumaran-is in the claude-code-onboarding repository on GitHub. Skillspace rates rag-architect C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Use when designing or modifying a RAG (Retrieval-Augmented Generation) pipeline — picking chunking strategy, embedding models, retrieval methods, reranking, fusion (RRF), abstention, multi-tenancy patterns, or evaluating whether RAG is the right tool at all. Triggers on phrases like "design a RAG system", "build retrieval", "RAG architecture", "should I use RAG", "chunking strategy", "hybrid retrieval", "reranker choice", "vector database", "embedding model selection".
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 32
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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