rag-architect SKILL.md skillA
rag-architect from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add borghei/claude-skills/rag-architect@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- borghei/claude-skills
- Path
engineering/rag-architect/SKILL.md- Versions recorded
- 5
- Latest version
- v1.1.0, committed Jun 22, 2026
- First version recorded
- Mar 21, 2026
- Size
- 7,174 bytes
- Repository stars
- 1,075
- License
- a license file GitHub does not identify
Design RAG pipelines: chunking, retrieval evaluation, and architecture. Use when building a RAG system, selecting a chunking strategy, choosing a vector database, optimizing retrieval quality, or evaluating with RAGAS metrics.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# RAG Architect The agent designs, implements, and optimizes production-grade RAG pipelines, from document chunking through evaluation. ## Core Capabilities - **Chunking strategy selection** — match corpus characteristics to fixed-size, sentence, paragraph, semantic, recursive, or document-aware chunking with sized parameters. - **Embedding & vector-DB choice** — pick an embedding model (local vs API) and vector store (Pinecone, Weaviate, Qdrant, Chroma, pgvector) by scale, latency, and cost. - **Retrieval design** — dense, sparse (BM25), or hybrid retrieval with Reciprocal Rank Fusion plus cross-encoder reranking when precision must exceed 0.85. - **Query transformations** — HyDE, multi-query, and step-back techniques for style mismatch and ambiguous queries. - **Guardrails** — PII detection, hallucination/NLI checks, source attribution, confidence scoring, and injection prevention. - **Evaluation** — RAGAS faithfulness/relevance plus IR metrics (Precision@K, Recall@K, MRR, NDCG) with failure analysis. - **Production patterns** — caching, streaming, fallbacks, incremental re-indexing, and cost control. ## When to Use - Building a RAG system end to end. …
Read the whole file at its exact version.
How to install
mdr add borghei/claude-skills/rag-architect@sha256:94eacf2bb0ea9ee3The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_bmvu4l7r3mmtof7i)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Mar 21, 2026 and Jun 22, 2026, about one every 23 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-06-22 | 65b93aa | 7,174 B | A | view · diff |
| v1.1.0 | 2026-06-17 | 8980a67 | 6,390 B | A | view · diff |
| v1.0.0 | 2026-06-17 | 0c19211 | 18,912 B | A | view · diff |
| v1.0.0 | 2026-03-30 | 6b5a5d8 | 19,007 B | A | view · diff |
| v1.0.0 | 2026-03-21 | 36e3f67 | 18,968 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7174 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bmvu4l7r3mmtof7i GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/rag-architect GET https://markdownregistry.com/api/v1/blob/94eacf2bb0ea9ee353c2c0560762e7832108afdb9156632e2366bf52f029a306
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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