con un clic
rank_llm
rank_llm contiene 4 skills recopiladas de castorini, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Set up a rank_llm development environment. Use when someone is onboarding, setting up a fresh clone, choosing extras such as cloud, api, local, or pyserini, or troubleshooting whether the packaged rank-llm CLI is ready.
Use when working with the rank-llm CLI: rerank, evaluate, analyze, retrieve-cache, serve, validate, prompt, view, describe, schema, or doctor. Covers entry points, common flags, JSONL and TREC artifacts, and end-to-end retrieval plus reranking workflows.
Use when analyzing rank_llm evaluation outputs across runs or models. Covers aggregated trec_eval JSONL files, response-analysis metrics, retrieval-cache handoff files, and side-by-side comparison of stored evaluation artifacts.
Use when validating rank_llm artifacts after rerank, retrieve-cache, or related CLI workflows. Checks JSONL integrity, TREC formatting, candidate shape, invocation-history structure, and duplicate query identifiers. Wraps rank-llm view plus custom assertions.