Agent skills directory

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategi...

Comprehensive guide to evaluating Retrieval-Augmented Generation systems including retrieval metrics, generation quality...

Comprehensive guide to evaluating Retrieval-Augmented Generation systems including retrieval metrics, generation quality...

Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and pro...

Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and pro...

Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusi...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

AesopIDE with Antigravity-inspired UI"

AesopIDE with Antigravity-inspired UI"

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Comprehensive guide for Retrieval-Augmented Generation (RAG) implementation using LangChain. This skill covers the compl...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunki...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunki...

Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use wh...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

AesopIDE with Antigravity-inspired UI"

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use w...

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

Интеграция RAG (Retrieval Augmented Generation) с xAI Grok Collections и Google Gemini. Используй этот skill когда нужно...

Expert in managing RAG (Retrieval-Augmented Generation) indices for L'Oréal's BTDP infrastructure. **TRIGGER THIS SKILL...

RAG 파이프라인 최적화 스킬. 검색 품질, 리랭킹, 쿼리 확장, 하이브리드 검색 관련 작업에서 자동으로 활성화됩니다. retrieval, rerank, embedding, vector search, semantic...

RAG 파이프라인 최적화 스킬. 검색 품질, 리랭킹, 쿼리 확장, 하이브리드 검색 관련 작업에서 자동으로 활성화됩니다. retrieval, rerank, embedding, vector search, semantic...

RAG 파이프라인 최적화 스킬. 검색 품질, 리랭킹, 쿼리 확장, 하이브리드 검색 관련 작업에서 자동으로 활성화됩니다. retrieval, rerank, embedding, vector search, semantic...

Vertex AI RAG Engine integration patterns for grounding agent responses in private data sources including corpus managem...

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

Retrieval-Augmented Generation patterns and best practices. Implement chunking, embedding, retrieval, reranking, and gen...

Transform textbook content based on the 10-dimension user profile to provide personalized learning experiences. Agent: A...

Transform textbook content based on the 10-dimension user profile to provide personalized learning experiences. Agent: A...

Use when building Retrieval-Augmented Generation systems. Covers document chunking, embedding generation, vector indexin...

Use when building Retrieval-Augmented Generation systems. Covers document chunking, embedding generation, vector indexin...

Use when building Retrieval-Augmented Generation systems. Covers document chunking, embedding generation, vector indexin...

Build retrieval-augmented generation systems that ground LLM responses in your data

Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadat...

Complete RAG (Retrieval-Augmented Generation) pipeline implementation with document ingestion, vector storage, semantic...

Complete RAG (Retrieval-Augmented Generation) pipeline implementation with document ingestion, vector storage, semantic...

RAG 시스템 품질 평가 및 개선을 위한 스킬입니다. RAGAS 기반 LLM-as-Judge 평가, 사용자 페르소나 시뮬레이션, 합성 데이터 생성, 평가 결과 저장 및 분석 기능을 제공합니다.

RAG 시스템 품질 평가 및 개선을 위한 스킬입니다. RAGAS 기반 LLM-as-Judge 평가, 사용자 페르소나 시뮬레이션, 합성 데이터 생성, 평가 결과 저장 및 분석 기능을 제공합니다.

Consulta ao corpus RAG do projeto. Busca conhecimento em decisoes, documentacao, learnings e padroes armazenados. Use qu...

Consulta ao corpus RAG do projeto. Busca conhecimento em decisoes, documentacao, learnings e padroes armazenados. Use qu...

Consulta ao corpus RAG do projeto. Busca conhecimento em decisoes, documentacao, learnings e padroes armazenados. Use qu...

This skill should be used when users ask questions about pod network development, pod smart contract language, pod APIs,...

Cross-encoder reranking and MMR diversity filtering for improved retrieval quality

Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing contex...

Search RAG database for relevant content. Use for semantic queries over processed documents, code, or papers.

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic simi...

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic simi...

高性能 RAG 多路检索服务。集成 Milvus 向量数据库进行语义检索，并结合 Rerank 模型进行精准重排序，支持海量文档的高效存储与历史内容召回。

Build and integrate production-ready RAG (Retrieval-Augmented Generation) chatbots into documentation sites using OpenAI...

Build and integrate production-ready RAG (Retrieval-Augmented Generation) chatbots into documentation sites using OpenAI...

RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and p...

Build Retrieval-Augmented Generation (RAG) Q&A systems with Claude or OpenAI. Use for creating AI assistants that answer...

Build Retrieval-Augmented Generation (RAG) Q&A systems with Claude or OpenAI. Use for creating AI assistants that answer...

Build Retrieval-Augmented Generation systems to enhance LLMs with external knowledge. Use for question answering, docume...

Patterns for wrapping any agent with RAG context from ChromaDB. Use to add persistent memory to imported or external age...

Patterns for wrapping any agent with RAG context from ChromaDB. Use to add persistent memory to imported or external age...

Patterns for wrapping any agent with RAG context from ChromaDB. Use to add persistent memory to imported or external age...

RAGAS를 사용하여 LLM 애플리케이션을 체계적으로 평가하는 방법을 제공합니다.

RAGAS를 사용하여 LLM 애플리케이션을 체계적으로 평가하는 방법을 제공합니다.

RAGAS를 사용하여 LLM 애플리케이션을 체계적으로 평가하는 방법을 제공합니다.

Ragdoll physics skill for joint constraints and hit reactions.

Ragdoll physics skill for joint constraints and hit reactions.

Automate Ragic tasks via Rube MCP (Composio). Always search tools first for current schemas.

Build or update a code graph index for C#/.NET repositories using ragsharp-graph.Triggers: build index, update index, re...

Query the ragsharp code graph for declarations, references, callers, callees, dependencies, and line-number evidence.Tri...

This prompt instructs an image-editing AI to transform a user-provided face photo into a repeatable, warm, dim, vintage...

Search for Israel Rail train schedules using the railil CLI. Find routes between stations with fuzzy search, filter by d...

Ruby on Rails backend development patterns for [PROJECT_NAME]

Rails 7+ framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Rails pro...