Instructions file
Claude Code instructions for BhavyaFattania/autonomous-rag, covering claude code configuration, rules, knowledge graph navigation (graphify-out/), design principles (derived from codebase audit) and build & test.
2,695 mods in this category, of every kind an agent can take. Each one carries what it costs per session, what the scan found, and whether it is the original.
Instructions file
Claude Code instructions for BhavyaFattania/autonomous-rag, covering claude code configuration, rules, knowledge graph navigation (graphify-out/), design principles (derived from codebase audit) and build & test.
Skill Claude CodeCodex
Use when designing or reviewing AI/ML integration code — covers RAG pipeline design, prompt engineering, structured output with schema validation, tool use/function calling, LLM error handling, token budget management, hallucination mitigation, and AI/ML anti-patterns with examples in TypeScript and Python.
hybridlabor-api/bdb-dev-optimized-agent-skills
Skill Claude CodeCodex
Production-ready patterns for building LLM applications, inspired by Dify and industry best practices.
MCP server Claude CodeCodexCursor +2
This is a local rag-mcp solution with chromadb using langchain and docling. Runs locally from the rag-mcp Python package.
MCP server Claude CodeCodexCursor +2
Dynamic RAG Engine preventing AI hallucinations in Korean Finance and Crypto markets. Runs locally from the ragalgo-mcp-server npm package.
masteryee-labs/Tool.Agent-Harness-Deploy
Skill Claude CodeCodex
Local hybrid retrieval (BM25 + ChromaDB vector + BGE-Reranker) over /.deep-memory hot and cold stores. Use when high-accuracy code/solution retrieval is needed and hallucination must be minimized. Typically invoked by deep-memory.
Instructions file CodexOpenCode
AGENTS.md instructions for lelabdev/rag-ferrite, covering rag-ferrite — moteur rag personnel (rust), stack, architecture, décisions d'architecture and structure du code.
no13productions/ai-agent-history-rag-mcp
Instructions file
Claude Code instructions for no13productions/ai-agent-history-rag-mcp, covering claude.md, knowledge source, project overview, tech stack and build and run commands.
Instructions file
Claude Code instructions for nuetzliches/powerbrain, covering claude.md — powerbrain context engine, project overview, architecture, directory structure and components and ports.
Instructions file
Instructions for maciek-O-digiaidev/CodeRAG, covering coderag — project context for ai agents, what is coderag?, architecture, tech stack and project structure.
Instructions file CodexOpenCode
Instructions for soumendrak/ragwatch, covering ragwatch — agents.md, project overview, architecture, instrumentation strategy and linear rag stages.
Instructions file CodexOpenCode
Instructions for statico/quickrag, covering quickrag, releasing, code style, testing with test/ data and setup.
Plugin Claude Code
Bundles 1 skill · 431 tokens together
Turn a folder of documents, a table you already have, or documents fetched out of a service (wiki, cloud docs, mail) into governed, searchable context an agent can query — hybrid search (vector + full-text) served by skardi-server over SQLite, Postgres+pgvector, MongoDB, or Lance. Three raw-material entries, one flow.
platdrag/notebookLM-claude-skill
Plugin Claude Code
Bundles 2 skills · 55 tokens together
Query your Google NotebookLM notebooks as a RAG knowledge base directly from Claude Code. Install the CLI, authenticate, and ask questions grounded in your uploaded sources.
Skill Claude CodeCodex
Set up and manage a fully local multimodal knowledge base using Gemini Embedding 2 and ChromaDB. Use when user wants to create a business knowledge base, ingest videos/images/audio/docs for RAG, query their knowledge base, or set up multimodal embeddings for their Claude Code agent.
MCP server Claude CodeCodexCursor +2
MCP server "ragforge" as configured in LuciformResearch/ragforge. Runs /home/luciedefraiteur/LR_CodeRag/ragforge/packages/cli/dist/esm/index.js with node.
alirezaebrahimi5/ai-senior-engineer-template
Skill Claude CodeCodex
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.
Instructions file
Claude Code instructions for mpnikhil/lenny-rag-mcp, covering claude.md, project overview, commands, install and run and preprocessing (requires claude cli).
lumerix7/ragflow-knowledge-mcp-server
Instructions file Gemini CLI
Instructions for lumerix7/ragflow-knowledge-mcp-server, a project described as: A simple MCP server of knowledge base for RAGFlow.
Plugin Claude Code
Bundles 4 skills · 438 tokens together
Exa.ai skills for web search, RAG pipelines, deep research, and company/people entity search.
MCP server Claude CodeCodexCursor +2
A locally run MCP-based retrieval-augmented generation service. Retrieval-augmented generation, or RAG, lets an AI use information retrieved from a separate knowledge source when generating answers.
Skill Claude CodeCodex
Multi-prong, context-efficient Q&A over the Iconsult knowledge-graph corpus (arsanjani2026 + gulli2025 + bratanic2025). Decomposes a question into facets, fans out ISOLATED retrieval subagents (concept match + graph traversal + passage RAG across all three books via the canonical layer), adversarially verifies each…
MCP server Claude CodeCodexCursor +2
MCP server for retrieving context from a Qdrant vector database. Runs locally from the mcp-server-qdrant Python package. Needs 4 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "cocktails-rag-mcp-server" as configured in 00200200/cocktails-rag-mcp. Runs locally from the cocktails-rag-mcp-server Python package.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: