rag-architect SKILL.md skillA
rag-architect from zacklecon/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zacklecon/claude-skills/rag-architect@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zacklecon/claude-skills
- Path
skills/rag-architect/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Feb 2, 2026
- First version recorded
- Dec 25, 2025
- Size
- 4,450 bytes
- Repository stars
- 3
- License
- MIT
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
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 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 …
Read the whole file at its exact version.
How to install
mdr add zacklecon/claude-skills/rag-architect@sha256:455fe3e2720b13ceThe line at the top of this page pins the label v1.0.0, 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_esakwtw3hxncg3op)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Dec 25, 2025 and Feb 2, 2026, about one every 19 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-02-02 | 7bbd06a | 4,450 B | A | view · diff |
| v1.0.0 | 2026-02-02 | 5bf7075 | 4,767 B | A | view · diff |
| git:20251225.e0c498f | 2025-12-25 | e0c498f | 4,609 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 (4450 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
zacklecon/claude-skills · 3 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_esakwtw3hxncg3op GET https://markdownregistry.com/api/v1/resolve?ref=zacklecon/claude-skills/rag-architect GET https://markdownregistry.com/api/v1/blob/455fe3e2720b13ceb46239c0d147e918ee038a563c3dba5c1dee5981c1f696fb
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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