grading
Evaluates document relevance to queries using binary scoring (yes/no) with reasoning. Use when filtering retrieved documents, determining relevance for answer generation, or when the user mentions grading, filt...
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Evaluates document relevance to queries using binary scoring (yes/no) with reasoning. Use when filtering retrieved documents, determining relevance for answer generation, or when the user mentions grading, filt...
Formats citations and validates source attribution for answers generated from multiple document sources (ChromaDB and web search). Use when adding source references to generated answers, validating citation acc...
Generates answers by synthesizing information from retrieved documents with citations. Use as final RAG pipeline step, when creating answers from multiple sources, or when the user mentions answer generation or...
Ranks and scores retrieved documents based on similarity metrics from vector search. Use when sorting documents by relevance, prioritizing results, or when the user mentions ranking, scoring, or ordering docume...
Enhances vague queries for better retrieval with context-aware improvements. Use during adaptive retry when no relevant documents found, when queries are unclear, or when the user mentions query enhancement or...
Routes queries to appropriate data sources (vectordb, web_search, direct_llm) and selects collections to search. Use when analyzing user queries, determining search strategy, or when the user mentions routing,...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.