Skills tagged "retrieval"

research-retrieval - Search external documentation and synthesize research.
research retrieval documentation search
★ 2 · Updated 2026-09-18
Searches external documentation, APIs, and papers to synthesize research summaries and implementation guides for technical decisions.
⚙ Define research goals and scope boundaries ⚙ Search external documentation and technical papers ⚙ Evaluate source credibility and flags
rag-architect - Design, tune, and evaluate production RAG pipelines
rag retrieval chunking embedding
★ 1 · Updated 2026-09-15
Design RAG pipelines, optimize chunking strategies, select embedding models and vector databases, and evaluate retrieval quality metrics.
⚙ Analyze corpus chunking strategies ⚙ Design RAG pipeline configurations ⚙ Evaluate retrieval quality metrics
dspy-3-retrieval-augmented-generation - DSPy Retrieval-Augmented Generation Implementation
dspy rag retrieval chromadb
★ 17 · Updated 2026-09-12
Implementation examples for single-hop and multi-hop retrieval-augmented generation modules using DSPy and ChromaDB integration.
⚙ Implement single-hop DSPy RAG modules ⚙ Implement multi-hop DSPy RAG modules ⚙ Configure ChromaDB retriever in DSPy
catalogs - Manage external skill-catalog roots for search
catalogs skills retrieval management
★ 0 · Updated 2026-09-12
Registers, lists, removes, or promotes third-party skill collections indexed for retrieval without being installed.
⚙ List configured catalog roots ⚙ Register external catalog root ⚙ Remove configured catalog root
repo-rag - Codebase retrieval using semantic search and symbols
codebase-search semantic-search symbol-indexing rag
★ 18 · Updated 2026-09-09
Perform high-recall codebase retrieval using semantic search and symbol indexing to find code, understand structure, and verify architectural patterns.
⚙ Retrieve codebase with semantic search ⚙ Find classes functions and types ⚙ Analyze and understand project structure
rag-architect - Architect for RAG, vector search, and retrieval systems
rag vector-database semantic-search embeddings
★ 602 · Updated 2026-09-09
Designs production-grade RAG systems, vector database schemas, document chunking, hybrid search pipelines, and retrieval evaluation frameworks.
⚙ Design vector database schemas ⚙ Design document chunking strategies ⚙ Implement hybrid search pipelines
retrieve - Fetch Data with Citations
retrieval data-fetch citation
★ 18 · Updated 2026-05-28
Fetch known facts or data from specified sources with citations and evidence pointers.
⚙ identify target ⚙ verify accessibility ⚙ fetch data
hybrid-retrieval - Combine Vector and Keyword Search for Better RAG
RAG retrieval hybrid search BM25
★ 2 · Updated 2026-03-26
Combine dense vector search and sparse keyword retrieval for improved RAG results
⚙ perform dense vector search ⚙ execute sparse keyword search ⚙ merge retrieval results
omega-memory - Persistent memory for AI coding agents
memory persistence storage query
★ 46 · Updated 2026-03-22
MCP tools for storing decisions, querying context, and coordinating multi-agent workflows across sessions
⚙ store content ⚙ query memories ⚙ create checkpoint
yearn-docs-site-query - Yearn Documentation Site Query
yearn defi docs-site documentation
★ 90 · Updated 2026-03-11
Query and cite Yearn documentation via hosted AI exports
⚙ search documentation ⚙ fetch page by route ⚙ clear cached data
rag-architect - RAG System Architecture Designer
RAG vector database semantic search retrieval
★ 2 · Updated 2026-03-10
Design RAG systems with vector databases and semantic search capabilities
⚙ design vector databases ⚙ select embedding models ⚙ implement chunking strategies
rag-implementation - RAG Implementation Workflow for Building AI Systems
rag vector-search llm ai-development
★ 2 · Updated 2026-03-09
Implement RAG systems with embedding selection, vector database setup, chunking strategies, and retrieval optimization
⚙ define use case ⚙ select embedding model ⚙ setup vector database
recall - Recall - Fan-out search for past context references
memory recall context retrieval
★ 64 · Updated 2026-02-23
Search across all memory sources when context is unclear or vaguely referenced
⚙ search across memory sources ⚙ extract keywords from references ⚙ synthesize search results
rag-implementation - Build RAG Systems for LLM Applications
rag retrieval-augmented-generation vector-database semantic-search
★ 509 · Updated 2026-02-15
Build Retrieval-Augmented Generation systems for LLM applications with vector databases and semantic search
⚙ build Q&A systems ⚙ create chatbots ⚙ implement semantic search
icc-get-setting - ICC Configuration Retrieval Tool
configuration settings retrieval management
★ 35 · Updated 2026-02-13
Retrieves ICC configuration settings using dot notation from the config hierarchy.
⚙ retrieve configuration settings ⚙ get setting values ⚙ check configuration keys
openclaw-search - Multi-source intelligent search with confidence scoring
search research multi-source confidence-scoring
★ 816 · Updated 2026-02-10
Search across web, academic, and Tavily sources with confidence scoring for autonomous agents
⚙ search web content ⚙ search academic papers ⚙ perform smart hybrid search