Best retrieval-augmented generation skills, page 6

本地向量知识库，支持按项目管理文档（docx/doc/pdf/md），语义检索。默认用硅基流动免费 API，零模型安装即可使用。支持多项目隔离、中文制度文档专用切片、Embedding+Rerank 两阶段检索。触发词：知识库、向量检索、RAG、制度检索、文档入库、语义搜索、local…

nigo81/nigo-skills

Builds generative AI applications on Amazon Bedrock. An agent skill from aws/agent-toolkit-for-aws.

aws/agent-toolkit-for-aws

Durable, idempotent ingest pipeline for Podium call transcripts — the layer between Podium's transcript webhook and a downstream RAG/LLM queue.

jeremylongshore/tons-of-skills-marketplace

Bulk-export Podium conversation, review, and contact history into a vector-store-ready corpus with cursor-paginated full crawls, CDC via updatedat watermarks, attachment URL refresh on expiry…

jeremylongshore/tons-of-skills-marketplace

Bridge a live Podium call transcript or webchat turn to an LLM by fetching relevant historical conversation context as a structured RAG bundle — vector search over embedded prior conversations +…

jeremylongshore/tons-of-skills-marketplace

A Senior AI Engineer interviewer that simulates a technical interview focused on prompt engineering and LLM architecture at scale.

PrepLabsAI/InterviewMentor

Convert files and Office documents into clean Markdown when you need LLM-friendly, token-efficient text (e.g., for summarization, search, RAG ingestion, or dataset preparation).

aipoch/medical-research-skills

Guides migration, provisioning, search, log-analytics, trace-analytics, and Agentic AI Assistant workflows for Amazon OpenSearch Service and Serverless across six capabilities — migration…

aws/agent-toolkit-for-aws

A skill your agent uses when the user wants to index their vault for semantic search, rebuild the RAG index, or says "index", "reindex", or "rebuild index".

thoreinstein/gemini-obsidian

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building…

majiayu000/claude-skill-registry

RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.

majiayu000/claude-skill-registry

RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5…

brycewang-stanford/Auto-Empirical-Research-Skills

Use assistant datasets for grounded answers with rag-search and rag-read.

bionic-gpt/bionic-gpt

Pre-ingestion verification for epistemic quality in RAG systems.

majiayu000/claude-skill-registry

Build NodeTool document ingestion, vector indexing, retrieval, and RAG pipelines.

nodetool-ai/nodetool

Guides building on Qdrant Edge, the embedded in-process shard.

qdrant/skills

Explains hybrid search in Qdrant. An agent skill from qdrant/skills.

qdrant/skills

Fusing scores from multiple searches into a single ranked result (RRF, DBSF, custom fusion).

qdrant/skills

Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model.

qdrant/skills

软件开发工程师与数据科学家在构建RAG系统时，当需处理PDF/Word/Excel等多格式复杂文档，用此技能可自动触发三级解析降级，一键输出高置信度结构化Markdown与元数据，免去繁琐清洗，直接夯实企业知识库数据底座！

anbeime/skill

将 PDF/PPT/Excel/Word 等多格式文档解析为结构化 Markdown，并输出元数据与解析置信度，作为 RAG 与四色卡片的数据底座。

anbeime/skill

Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.

neo4j-contrib/neo4j-skills

Create and manage Neo4j vector indexes, run vector similarity search (ANN/kNN), store embeddings on nodes or relationships, use SEARCH clause (Neo4j 2026.01+, preferred) or…

neo4j-contrib/neo4j-skills

Optimize accuracy for RAG (Retrieval-Augmented Generation) systems.

LeoYeAI/openclaw-master-skills

Use as the RAG build stage of the Butterbase journey. An agent skill from butterbase-ai/butterbase-skills.

butterbase-ai/butterbase-skills

LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization

rohitg00/awesome-claude-code-toolkit

NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage.

NVIDIA/skills

Filesystem RAG benchmarks: corpus/, train.json, evaluaterag.py (RAGAS quality).

NVIDIA/skills

Iterate on RAG systems with structured evals instead of eyeballing.

glebis/claude-skills

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

Evaluates RAG retrieval and LLM-as-judge metrics (faithfulness, relevancy, context precision).

softspark/ai-toolkit

RAG: embeddings, chunking, hybrid search (BM25+vector), reranking, CRAG, multi-hop.

softspark/ai-toolkit

A skill your agent uses when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control.

coco-research/coco

Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings.

Anil-matcha/awesome-muse-connectors

Build different types of Claude-powered applications — chatbots, RAG systems, Use when working with architecture-variants patterns.

jeremylongshore/tons-of-skills-marketplace

Build a Cohere v2 RAG pipeline with asymmetric embeddings, retrieval, Rerank v4, grounded Chat, and citation validation.

jeremylongshore/tons-of-skills-marketplace

Design a governed Cohere architecture for Chat, RAG, tools, streaming, evaluation, and provider operations.

jeremylongshore/tons-of-skills-marketplace

Load and chunk documents for LangChain 1.0 RAG pipelines correctly — language-aware splitters, table-safe PDF loaders, Cloudflare-compatible web loaders, chunk-boundary strategies that survive…

jeremylongshore/tons-of-skills-marketplace

Build Mistral embeddings, retrieval, and function-calling loops with tenant isolation and application-owned execution.

jeremylongshore/tons-of-skills-marketplace

Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with…

jeremylongshore/tons-of-skills-marketplace

Context management engine for AI coding agents. An agent skill from borghei/Claude-Skills.

borghei/Claude-Skills

Build RAG / unstructured-document evaluation datasets and demo documents (e.g.

databricks/databricks-agent-skills

Retrieval-Augmented Generation patterns for grounded LLM responses.

yonatangross/orchestkit

Diagnoses and improves Qdrant search relevance. An agent skill from qdrant/skills.

qdrant/skills

Evaluates RAG pipeline quality across retrieval (precision, recall, MRR) and generation (groundedness, hallucination rate).

Mathews-Tom/armory

AI/LLM 间接 Prompt 注入攻击。当目标 AI 系统会处理外部数据源（网页、文档、邮件、数据库、API 返回）时使用。覆盖间接注入、工具链劫持、RAG 投毒、数据外泄等技术。OWASP LLM Top 10 1 漏洞类别

wgpsec/AboutSecurity

A skill your agent uses when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server —…

ericrisco/rsc-harness

A skill your agent uses when running open-weight LLMs locally with Ollama — pulling and tagging models, calling the local API, picking a quantization or GGUF, writing Modelfiles, and sizing VRAM and…

ericrisco/rsc-harness