技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
metadata-and-sources【数据与研究】Use PaperQA metadata clients and external paper/trial source helpers safely without local parsing or RAG querying.
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Use this sub-skill when the task is about PaperQA metadata hydration or external source acquisition, not about parsing local documents or answering over an existing Docs collection.
DocMetadataClient from title, doi, authors, and requested fields.DEFAULT_CLIENTS, ALL_CLIENTS, or a custom ordered provider set for Crossref, Semantic Scholar, OpenAlex, Unpaywall, journal quality, and retraction checks.Docs.aadd(..., title=..., doi=..., authors=...) uses metadata hydration and how upgrade_doc_to_doc_details merges metadata back into a Doc.clinical_trials_search tool.docs-and-parsing sub-skill.Docs.aquery, ask, agent_query, evidence, and answer generation: use the agentic-rag sub-skill.pqa CLI and index build/search workflows: use the cli-and-indexing sub-skill.settings-and-configuration sub-skill.Docs.aadd, ClinicalTrials.gov search, OpenReview paper discovery, Zotero library ingestion, or third-party paper acquisition advice.fields.scripts/inspect_metadata_clients.pyscripts/mock_clinical_trials_format.pyDEFAULT_CLIENTS or a small custom provider list before ALL_CLIENTS for fast DOI/title hydration.