Retrieval-augmented generation

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

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

bionic-gpt/bionic-gpt

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

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

nodetool-ai/nodetool

Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak.

qdrant/skills

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

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

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

butterbase-ai/butterbase-skills

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

LeoYeAI/openclaw-master-skills

Machine learning and LLM engineering judgment, distilled from a stronger model - invoke when DECIDING whether/how to use ML or an LLM for a task (prompt vs RAG vs fine-tune vs classical); working…

telagod/code-abyss

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

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

Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config.

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

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

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

A skill your agent uses when building grounded Q&A over your own corpus — chunk, retrieve hybrid, rerank, ground, cite chunk ids, refuse when the sources fall short — or when the right document is…

ericrisco/rsc-harness

A skill your agent uses when a support or sales bot on a live website must behave: persona/system prompt, grounding so it cannot invent prices or policy, jailbreak and injection defense, the human…

ericrisco/rsc-harness

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

Provides Amazon Bedrock patterns using AWS SDK for Java 2.x.

giuseppe-trisciuoglio/developer-kit

Provides chunking strategies for RAG systems. An agent skill from giuseppe-trisciuoglio/developer-kit.

giuseppe-trisciuoglio/developer-kit

Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java.

giuseppe-trisciuoglio/developer-kit

Provides configuration patterns for LangChain4J vector stores in RAG applications.

giuseppe-trisciuoglio/developer-kit