Open source alternatives to rag-architect
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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by shareAI-lab - A really interesting analysis of how coding agents like Claude
About rag-architect
rag-architect
Designs and implements production-grade RAG systems by chunking documents
rag-architect is an agent skill from the jeffallan claude-skills collection for designing and building retrieval-augmented generation systems, which answer questions from your own documents. The skill covers the whole pipeline: chunking documents, generating embeddings, configuring vector stores, building hybrid search and reranking, and measuring retrieval quality. Its workflow has five stages. The agent first analyses the retrieval needs, latency limits, accuracy requirements and scale. It then designs the vector store, choosing the database, the schema, the indexing strategy and the sharding approach. The chunking stage decides how documents are split, how much they overlap, where semantic boundaries fall and what metadata to attach. The retrieval pipeline selects an embedding model, transforms queries, combines keyword and vector search and reranks results. The final stage tracks metrics, debugs poor retrieval and keeps optimising. The skill says to validate at each step before moving on, and it points to reference material for each choice. It suits teams building search or question answering over internal documents who want a retrieval setup designed deliberately. It is listed on skills.sh, where the page shows install counts and GitHub stars for the collection. Its Gen Agent Trust Hub audit is marked as failing, while Socket and Snyk show warnings, which the FAQ lists. Install it with npx skills add https://github.com/jeffallan/claude-skills --skill rag-architect.
- Price
- Free
- Made by
- jeffallan
- Category
- AI Skills
- Website
- github.com/jeffallan/claude-skills/rag-architect