Retrieval-augmented generation

This skill should be used when a learner wants to navigate or understand the Build-an-Agent workshop as a whole — e.g.

brevdev/workshop-build-an-agent

Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.

sickn33/agentic-awesome-skills

Evaluate retrieval and citation behavior for RAG pipelines from deterministic JSONL fixtures.

davepoon/buildwithclaude

For any security-related task — threat triage, incident response, MITRE ATT&CK mapping, CVE lookup, exploit analysis, defensive control validation, red/blue/purple team work — always consult the…

lyonzin/knowledge-rag

Semantic + full-text search over documents and the web via basemind's RAG store — PDFs, Office, HTML, email, images (OCR), plus scraped/crawled web pages, with cross-encoder reranking, keyword and…

Goldziher/basemind

Train or fine-tune SentenceTransformer, CrossEncoder, and SparseEncoder models for retrieval, similarity, clustering, classification, reranking, and related embedding tasks.

sickn33/agentic-awesome-skills

Pre-ingestion verification for epistemic quality in RAG systems.

sickn33/agentic-awesome-skills

当系统提示需要设计引用格式、信息溯源机制、来源标注系统时调用。适用于文档问答、搜索增强生成（RAG）、代码引用、浏览器辅助等需要让用户追溯信息来源的场景。不适用于纯创作类输出（如故事、诗歌），不适用于无需溯源的常识问答，也不适用于注入防御（虽然两者都涉及内容可信度）。

kangarooking/system-prompt-skills

Oracle Cloud Infrastructure guidance for designing, operating, and troubleshooting OCI services, including OCI Kubernetes Engine (OKE), OCI Internet of Things Platform, OCI Functions deployment and…

oracle/skills

AI agent and LLM system engineering reference covering single-agent dev (ReAct, tool calling, plan-execute), multi-agent coordination (swarm, role decomposition, file locking), LLM security (prompt…

telagod/code-abyss

Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from…

elementalsouls/Claude-BugHunter

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and…

redis/agent-skills

Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.

openclaw/clawhub

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

davila7/claude-code-templates

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…

sickn33/agentic-awesome-skills

Expert in building Retrieval-Augmented Generation systems. An agent skill from sickn33/agentic-awesome-skills.

sickn33/agentic-awesome-skills

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

sickn33/agentic-awesome-skills

Search the Genie Sim asset library by natural-language keyword via the generator's searchassets MCP tool (RAG over ASSETSINDEX), and look up asset interaction metadata via getinteractions.

AgibotTech/genie_sim

Only reach for external web search when the local corpus comes back empty or clearly insufficient.

lyonzin/knowledge-rag

A skill your agent uses when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages…

alirezarezvani/claude-skills

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system.

langchain-ai/langchain-skills

Probes Retrieval-Augmented Generation pipelines for indirect prompt injection via poisoned retrieved documents and embedding-space manipulation, using NVIDIA garak, Promptfoo red-team plugins, and…

mukul975/Anthropic-Cybersecurity-Skills

Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs.

NeverSight/learn-skills.dev

A skill your agent uses when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all.

agentscope-ai/OpenJudge

Data pipelines, feature stores, and embedding generation for AI/ML systems.

ancoleman/ai-design-components

Vector database implementation for AI/ML applications, semantic search, and RAG systems.

ancoleman/ai-design-components

Guides Qdrant search strategy selection. An agent skill from github/awesome-copilot.

github/awesome-copilot

Build production-ready LLM applications, advanced RAG systems, and intelligent agents.

curiositech/some_claude_skills

Perform finance web searches and local context searches. An agent skill from ninehills/skills.

ninehills/skills

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration.

aiskillstore/marketplace

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying.

aiskillstore/marketplace

Build a RAG (retrieval-augmented generation) pipeline or a custom search engine on top of Bright Data's Discover API — using intent-ranked web results + parsed page content as the…

brightdata/skills

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models.

microsoft/ai-agents-for-beginners

Build local-first AI agents wey dey run fully for developer workstation wit Microsoft Foundry Local and Qwen function-calling models.

microsoft/ai-agents-for-beginners

Assess and harden LLM applications and agentic systems against prompt injection, tool misuse, excessive agency, memory poisoning, RAG data leakage, and model supply-chain risk, mapped to the OWASP…

trilwu/secskills

使用 ACEHarness 内置 RAG/LanceDB 知识库进行只读检索。

TheAceTeam/AceHarness

Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses)

sickn33/agentic-awesome-skills

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

sickn33/agentic-awesome-skills

A skill your agent uses when working with OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches.

cinience/alicloud-skills

Choose and wire AI features in the .NET backend — LLM calls, agentic tool-calling/multi-step workflows, RAG/vector search, structured output, streaming.

atherio-danp/cde-dotnetcc

LLM and AI application security testing skill for prompt injection (direct, indirect, multimodal), system-prompt extraction, RAG poisoning, memory poisoning, MCP server injection, skill-file…

hardw00t/ai-security-arsenal

A skill your agent uses when writing Python code that integrates with Azure Blob Storage, AI Search, Document Intelligence, or Key Vault — or when configuring Managed Identity auth, designing a…

kid-sid/claude-spellbook

Diagnoses and improves Qdrant search relevance. An agent skill from github/awesome-copilot.

github/awesome-copilot

企业知识库 / AI 落地咨询一条线——前置诊断 + 方案蓝图。诊断段用 GROUND 六维模型评估就绪度,做需求考古识破"真问题",匹配病灶模式,输出成熟度等级 + 红黄绿可行性评级 + 变绿条件;方案段承接诊断结论,回答方案的四件事:建什么(参考架构四层)、用什么建(选型决策树)、按什么顺序建(Phase 0-3 分期)、谁来养(运营角色与机制)。当用户要评估一家企业能不能上知识库/AI…

imraywang/rayskills

Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement.

lingzhi227/agent-research-skills

Build Weaviate AI apps from official cookbook blueprints for RAG, agentic RAG, data exploration, multimodal PDF search, async clients, and frontends.

sickn33/agentic-awesome-skills

OpenLoomi entrypoint for skill-only agent runtimes without a plugin mechanism.

melandlabs/openloomi

A skill your agent uses for Azure AI: Search, Speech, OpenAI, Document Intelligence.

microsoft/GitHub-Copilot-for-Azure