Retrieval-augmented generation

A skill your agent uses when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG).

alirezarezvani/claude-skills

Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning.

ancoleman/ai-design-components

Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks.

ancoleman/ai-design-components

RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers.

llama-farm/llamafarm

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.

github/awesome-copilot

Azure AI Search SDK for Python. An agent skill from aiskillstore/marketplace.

aiskillstore/marketplace

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK.

google/skills

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.

google/skills

Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search.

google/skills

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud.

google/skills

A skill your agent uses when building knowledge bases, ingesting documents, running semantic search, or adding LLM-synthesized Q&A over private content with Butterbase RAG

butterbase-ai/butterbase-skills

A skill your agent uses when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual relevance sorting.

cinience/alicloud-skills

Bumuo ng mga local-first AI agents na tumatakbo nang buong-buo sa isang developer workstation gamit ang Microsoft Foundry Local at Qwen function-calling models.

microsoft/ai-agents-for-beginners

SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting

ruvnet/ruflo

Agent RAG and long-term memory with Pinecone. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

A skill your agent uses when a medical AI paper should be found and cited by AI search engines and RAG tools.

Aperivue/medsci-skills

Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced X For You algorithm.

wshobson/agents

A skill your agent uses when managing Alibaba Cloud RDS Supabase (RDS AI Service 2025-05-07) via OpenAPI, including creating, starting/stopping/restarting instances, resetting passwords, querying…

cinience/alicloud-skills

PDF 数据提取工具。当用户提到"PDF 提取"、"PDF 转 Markdown"、"PDF 解析"、"提取 PDF 内容"、"PDF 转 JSON"、"RAG PDF"时使用。OpenDataLoader PDF 是目前基准测试第一的 PDF 解析器，支持本地模式（快速、确定）和混合 AI 模式（复杂表格、扫描件、公式），输出 Markdown、JSON（带边界框）、HTML。适用于需要从…

chujianyun/skills

Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval.

agentsope/SkillAlchemy

Re-ingest-correctness SOP for production RAG. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework.

agentsope/SkillAlchemy

Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

A skill your agent uses when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval…

alirezarezvani/claude-skills

Managed vector DB for production RAG and search. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Vector search engine for production RAG systems. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material.

guaardvark/guaardvark

A skill your agent uses when the agent needs access to information beyond its training data — knowledge sources, RAG pipelines, or grounding data.

sharpdeveye/maestro

A skill your agent uses when implementing or evaluating a retrieval-augmented product agent that must enforce corpus ACLs, trace answers to returned passages, fail safely on no-hit, and pass…

mtarcure/claude-vibe-squad

Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems.

giuseppe-trisciuoglio/developer-kit

[omh] LLM-powered feature to build: LLM app development: prepare a build handoff for an LLM-powered feature with a pinned provider boundary, schema-first outputs, versioned prompt files, grounded…

rlaope/oh-my-hermes

Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents).

microsoft/skills

A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.

rrezartprebreza/spring-boot-skills

A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.

rrezartprebreza/spring-boot-skills

A skill your agent uses when setting up Node 24+ built-in node:sqlite with the loadable sqlite-vec extension for vector / RAG storage in TypeScript without better-sqlite3, or when debugging vec0…

mizchi/skills

A skill your agent uses when reviewing, designing, or modifying Java enterprise software products, AI-enabled products, RAG assistants, AI agents, generated instructions, related services, automated…

jabrena/plinth

A skill your agent uses when reviewing, designing, or modifying Java enterprise systems that use GenAI, LLMs, AI-assisted coding, RAG, AI agents, generated code, generated dependencies, prompt…

jabrena/plinth

Set up and run local web searches using Bright Data SERP API with the unfancy-search pipeline (query expansion, SERP retrieval, RRF reranking).

davila7/claude-code-templates

Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, vector search, embeddings, semantic search.

davila7/claude-code-templates

A skill your agent uses when operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data Mining…

NVIDIA/skills

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

Build production Firebase Genkit applications including RAG systems, multi-step flows, and tool calling for Node.js/Python/Go.

jeremylongshore/tons-of-skills-marketplace

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

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

aiskillstore/marketplace

Every product will be AI-powered. An agent skill from aiskillstore/marketplace.

aiskillstore/marketplace