菜单
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
正在显示 SKILL.md
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/VectorSpaceLab/AREX-Skill --skill dynamic-resources命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Creates reusable Agent Skills from an AI research paper using the Paper2Skills Distiller workflow. Use in Creator mode when the user provides a paper PDF, paper URL, arXiv id, paper title, or paper/repo pair, or asks to convert a scientific paper into skills with recovery experiments. Prefer a TOML run config; ask for missing paper, repo, recovery, runtime, and budget fields before expensive work.
Creates a repo-specific operating Agent Skill for DisCo Researcher from a local repository by inspecting source files and an installed or auto-prepared, backend-aware Python package environment. Use when the user asks to create a skill for a repo, generate repo-specific skills, analyze a local Python package, or build a DisCo skill that may also be exported to compatible agents. If the user gives only a repo path, analyze the repository structure and native tests/examples first, confirm the extraction scope, then use prepare-repo-skill-env to create and verify the minimum CPU/GPU/backend environment set required by that scope. If the request says auto decide, agent-confirm the extraction scope; if it says auto import, import only after successful verification with no unresolved required-backend block.
Extends an existing repository-specific Agent Skill with new capabilities, deeper coverage, troubleshooting, scripts, and usability tests. Use when the user asks to expand, improve, deepen, or add coverage to an already implemented skill instead of creating a new skill from scratch. If the repository itself changed and the old skill may be stale, use refresh-repo-skill instead.