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Retrieval-augmented generation
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Reference of Claude API examples and guides covering tool use, vision, RAG, classification, summarization, text-to-SQL, prompt caching and agent patterns. | 2025Emma/ | 23k | 1 repo | ~2.2k | Automated safety check: Pass | MIT | 9 mo ago |
| 2 | Converts PDFs, Office files, HTML, images and other documents into a unified DoclingDocument with Markdown or JSON output, through the docling CLI, Python SDK or a remote service. | docling-project/ | 69k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 3 | Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects. | Orchestra-Research/ | 13k | 8 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | Answers questions from a local knowledge base folder by walking hierarchical index files and searching with grep, pdfplumber and pandas instead of loading whole files. | ConardLi/ | 715 | 2 repos | ~1.7k | Automated safety check: Pass | No licence | 5 mo ago |
| 5 | 5.Qmd Local hybrid search for markdown notes and docs. An agent skill from alsk1992/CloddsBot. | alsk1992/ | 2.9k | 3 repos | ~1.2k | Automated safety check: Pass | MIT | 5 days ago |
| 6 | Runs and debugs evaluations of how Chatbox models answer questions about large attached files, using synthetic and real long-document fixtures. | chatboxai/ | 42k | — | ~758 | Automated safety check: Pass | GPL-3.0 | 14 days ago |
| 7 | Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search. | decolua/ | 30k | — | ~604 | Automated safety check: Pass | MIT | 7 days ago |
| 8 | TRIGGER when working with ai-sdk which is Laravel official first-party AI SDK. | trypostit/ | 678 | 2 repos | ~3.5k | Automated safety check: Pass | MIT | today |
| 9 | A skill your agent uses for anything involving the Synalinks neuro-symbolic LM framework (Keras-inspired): DataModel/Field/Input, JSON operators (+ & | ^ ~), synalinks.ops… | SynaLinks/ | 907 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 10 | Searches, summarizes, compares and answers questions from an already configured AutoRAG librarian agent over local documents and authorized datasources. | Marker-Inc-Korea/ | 5.1k | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 11 | Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes. | Orchestra-Research/ | 13k | 7 repos | ~1.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 12 | Python guidance for the Azure AI Search SDK covering vector, hybrid and semantic search, index management and indexers, with Entra ID authentication preferred over keys. | microsoft/ | 3.1k | 6 repos | ~4.4k | Automated safety check: Pass | MIT | 2 days ago |
| 13 | Guides building Tavily integrations for web search, URL extraction, site crawling and AI-assisted research in Python or JavaScript agent and RAG projects. | andrewyng/ | 14k | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 14 | Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. | MoizIbnYousaf/ | 1.1k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | 17 days ago |
| 15 | Diagnoses and repairs a broken AutoRAG install so every configured datasource is both indexed and returns real search hits. | Marker-Inc-Korea/ | 5.1k | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 16 | Guide to building Node.js and TypeScript apps on the agent-squad package: orchestrator, agent types, classifier routing, storage, retrievers and MCP tools. | 2FastLabs/ | 7.8k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 17 | Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems. | maslennikov-ig/ | 260 | 4 repos | ~1.4k | Automated safety check: Pass | Unknown | 7 mo ago |
| 18 | A Chinese-language guide and reference for building agents with LangGraph 1.0, from a first ReAct agent through middleware, memory, MCP, RAG and web search. | luochang212/ | 457 | — | ~837 | Automated safety check: Notes | Unknown | 27 days ago |
| 19 | 19.Tw Legal RAG Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law. | aa0101181514/ | 327 | — | ~580 | Automated safety check: Pass | Unknown | 4 days ago |
| 20 | Searches, saves, and maintains a local document index through a local RAG MCP server. | shinpr/ | 407 | — | ~4.4k | Automated safety check: Pass | MIT | today |
| 21 | Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C. | shuyu-labs/ | 278 | — | ~1.1k | Automated safety check: Pass | Unknown | 3 mo ago |
| 22 | Quick reference for wdoc, a command-line and Python tool that summarizes, searches and answers questions over documents of many file types. | thiswillbeyourgithub/ | 545 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 23 | Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. | nkapila6/ | 134 | 1 repo | ~1.6k | Automated safety check: Pass | MIT | 1 mo ago |
| 24 | A skill your agent uses when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search/ranking, multimodal, AI backend, or LLM… | wanyichen06/ | 324 | — | ~1.2k | Automated safety check: Pass | MIT | 2 mo ago |
| 25 | Process documents with Blockify API to create optimized IdeaBlocks for RAG. | iternal-technologies-partners/ | 316 | — | ~6.2k | Automated safety check: Notes | Unknown | 5 mo ago |
| 26 | Builds a retail product search agent on Google Cloud, from catalog ingestion into BigQuery and Vector Search to ADK scaffolding, evaluation and Cloud Run deployment. | google/ | 10k | — | ~3k | Automated safety check: Pass | Apache-2.0 | today |
| 27 | A skill your agent uses for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. | timescale/ | 1.9k | 1 repo | ~3.8k | Automated safety check: Pass | Apache-2.0 | today |
| 28 | 28.Gno Search local documents, files, notes, and knowledge bases. An agent skill from gmickel/gno. | gmickel/ | 115 | 1 repo | ~1.6k | Automated safety check: Pass | MIT | today |
| 29 | 29.LLM Wiki Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings. | praneybehl/ | 118 | — | ~5.7k | Automated safety check: Pass | MIT | 25 days ago |
| 30 | Installs, configures, and repairs AutoRAG's search model, approved folders, indexes, and datasources, and registers its Lite MCP server. | Marker-Inc-Korea/ | 5.1k | — | ~5.3k | Automated safety check: Pass | MIT | yesterday |
| 31 | Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client… | liliang-cn/ | 274 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 32 | 32.Clawmem ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring… | yoloshii/ | 210 | — | ~7.5k | Automated safety check: Pass | MIT | 2 days ago |
| 33 | Review RAG designs or accessible implementations for extraction failures, deterministic facts, evidence routing, source versioning, code retrieval, and memory boundaries. | FinanceFlash/ | 160 | — | ~766 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 34 | 34.Memex Search Discover prior agent work across sessions, projects, providers, and machines. | nicosuave/ | 246 | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 35 | 35.Edgeparse Extract structured content from any PDF for AI agents, RAG pipelines, and Copilot Skills. | raphaelmansuy/ | 144 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 36 | 使用本地 Bilibili RAG 服务进行检索与问答。用户询问 B 站收藏夹内容、视频要点总结、来源追溯、入库状态时使用。内容问答时优先通过 sessionid 与 folderids 限定范围,避免空范围导致 fallback。 | via007/ | 1.3k | — | ~326 | Automated safety check: Pass | Apache-2.0 | 11 days ago |
| 37 | Builds AI agents on the Convex agent component: threads, messages, tools that call queries and mutations, streaming, RAG with vector search, and workflows for multi step jobs. | waynesutton/ | 404 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 38 | Search, query, and manage Weaviate vector database collections. | weaviate/ | 105 | — | ~1.8k | Automated safety check: Pass | BSD-3-Clause | 2 days ago |
| 39 | 39.Graphmemory Build and query embedded GraphRAG knowledge graphs with DuckDB-backed vector, full-text, and hybrid search. | bradAGI/ | 160 | — | ~3.1k | Automated safety check: Pass | MIT | 5 mo ago |
| 40 | 40.Evaluate RAG Guides evaluation of a RAG system by diagnosing failures in traces, building a retrieval test set and scoring retrieval and generation separately. | ai-evals-course/ | 1.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 14 days ago |
| 41 | Give a Node.js agent (such as OpenClaw) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client npm package. | liliang-cn/ | 274 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 42 | 用于升级 AI 系统、agent workflow、Codex skill、prompt、memory、RAG、tool routing、schema、eval set 或 feedback loop;也用于把 AI 工作单从指令单升级为意图单,并对研究、检索、测试和 AI 对话做 VOI 决策门审计。需要 Intent Work Order、WOOP… | DY-2026/ | 412 | — | ~2.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 43 | Teaches an agent to build LM pipelines, RAG systems and agents in DSPy using signatures, modules and optimizers instead of hand-tuned prompts. | Orchestra-Research/ | 13k | 10 repos | ~3.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 44 | A skill your agent uses when the user has changed a prompt (system prompt, RAG template, agent instruction, etc.) and wants to know whether the candidate is better or worse than the baseline. | agentscope-ai/ | 868 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | 27 days ago |
| 45 | 45.RAG Skills RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. | llama-farm/ | 836 | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | 4 mo ago |
| 46 | Search 2500+ curated ChatGPT and LLM open-source repositories. | taishi-i/ | 3.3k | — | ~3.8k | Automated safety check: Pass | CC0-1.0 | 4 days ago |
| 47 | Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces. | Orchestra-Research/ | 13k | 6 repos | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 48 | Guides and best practices for working with Lakebase Postgres, the database behind Neon. | usenotra/ | 256 | — | ~4.1k | Automated safety check: Notes | AGPL-3.0 | today |