Best retrieval-augmented generation skills, page 8

Fast local search for markdown files, notes, and docs using qmd CLI.

sundial-org/awesome-openclaw-skills

Search and retrieve markdown documents from local knowledge bases using qmd.

sundial-org/awesome-openclaw-skills

Draft matter status reports from emails, call notes, and updates.

lawve-ai/awesome-legal-skills

A skill your agent uses when strengthening the reproducibility of a SIGIR paper or preparing a SIGIR Reproducibility track submission — pinning the retrieval pipeline, seeds and variance for neural…

brycewang-stanford/Awesome-Journal-Skills

AI Agent 架构模式目录。提供 ReAct、Multi-Agent Conversation、Multi-Agent Workflow、 RAG Agent、Tool-Use Agent、Autonomous Agent 六种核心模式的参考架构、组件拓扑、 数据流、设计决策和框架无关的最佳实践。供 agent-dev-workshop Phase 2 调用。

hashgraph-online/awesome-codex-plugins

Gather disciplined context for solving a task, then hand off to development.

hashgraph-online/awesome-codex-plugins

Retrieve relevant information from a knowledge base using semantic, keyword, or hybrid search to ground a query.

seb1n/awesome-ai-agent-skills

Build a customer health scorecard for a specific account. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry

You are an expert in Mastra, the TypeScript framework for building AI agents, RAG pipelines, and workflows.

majiayu000/claude-skill-registry

A skill your agent uses when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.

majiayu000/claude-skill-registry

Hybrid search combining semantic and keyword retrieval for RAG pipelines.

majiayu000/claude-skill-registry

Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search.

majiayu000/claude-skill-registry

Chunking strategies, embedding model selection, hybrid search, reranking, eval metrics

majiayu000/claude-skill-registry

A skill your agent uses when you need evidence-bounded grounding, relevance, completeness, citation support, abstention, and answer-level evidence in RAG outputs; triggers include RAG 质量 and RAG…

majiayu000/claude-skill-registry

Embedding strategies, ANN algorithms, hybrid search, RAG chunking strategies, and reranking for semantic search and retrieval.

majiayu000/claude-skill-registry

Retrieve the legal basis and due-diligence facts that contract work depends on — supporting statutes and their effectiveness status, regulatory requirements, mandatory provisions for the contract…

infometa/workbuddyskills

Execute the multi-layer legal retrieval pipeline once a scenario is identified - extract legal facts, locate the legal issue, judge source effectiveness hierarchy, generate dynamic search strategy…

infometa/workbuddyskills

腾讯探元文博检索工具集（Agentic RAG）。封装两个 HTTP API 为 Node.js 脚本，由 Agent 依据问题特征选择工具并构造 query： - search-relics（文物/世界遗产数据库 NL→SQL）：适合结构化事实的详情、列表、统计与排行查询 -…

infometa/workbuddyskills

Build LLM applications with the LlamaIndex framework. An agent skill from magnus919/agent-skills.

magnus919/agent-skills

Master SurrealDB 2.3.x with Python for multi-model database operations including CRUD, graph relationships, vector search, and real-time queries.

aiskillstore/marketplace

Reference for Snowflake Cortex AI Functions (AICOMPLETE, AICLASSIFY, AIEXTRACT, AIFILTER, etc.) and Cortex Search for building RAG applications entirely inside Snowflake.

Mindrally/skills

Expert knowledge for Azure Content Understanding in Foundry Tools development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security…

MicrosoftDocs/Agent-Skills