Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when answering questions about PseudoForge kernel corpus packs through MCP or local evidence packs, including kernel lifecycle, subsystem, function, callgraph, import/string, and evidence-grounded reverse-engineering analysis.
Use these skills when you need to discover and explore data assets in the Knowledge Catalog. It allows you to search for entries, lookup specific metadata, and explore aspect types to understand your data platform's assets.
Use when you need parallel, read-only exploration with the agent tool (Scout fan-out)
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs for Y", "MLflow API for Z".
Citation-grade academic literature retrieval (search, semantic chunks, byte-range read, figure fetch) over Sciverse, an open scientific platform indexing peer-reviewed and preprint papers.
CLI tool (arxivterminal) for fetching, searching, and managing arXiv papers locally. Use when working with arXiv papers using the arxivterminal command - fetching new papers by category, searching the local database, viewing papers from specific dates, or managing the local paper database.
分析 claude.com/blog 的新文章，提取可操作洞察並更新 workspace 設定。手動調用。
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
Fetch arXiv papers by date range and topics, rank them for research value, and produce introduction digests. Use when the user wants a literature sweep, daily or weekly paper triage, or a written overview of the best papers in a niche — without relying on the arxivterminal local database.
研究外部 Claude Code best practice 來源（GitHub repos、官方 docs、blog），對比現有 workspace 做 gap analysis，產出可操作建議清單。