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/microsoft/vscode --skill init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。
正在显示 SKILL.md
Agents window architecture — covers the agents-first app, layering, folder structure, chat widget, menus, contributions, entry points, and development guidelines. Use when implementing features or fixing issues in the Agents window.
Use when running integration tests in the VS Code repo. Covers scripts/test-integration.sh (macOS/Linux) and scripts/test-integration.bat (Windows), their supported arguments for filtering, and the difference between node.js integration tests and extension host tests.
Fix a microsoft/vscode issue that the VS Code Sweeper reviewed as agent-fixable. Fetches the review's fix spec from the sweeper's public state repo, implements the narrow fix in the current vscode checkout, and — after showing the diff — opens a draft PR. Use when asked to fix a vscode issue with the sweeper-fix skill, a vscodesweeper record, or a sweeper fix spec.
基于 SOC 职业分类
| name | init |
| description | Generate or update chat customization files for AI coding agents |
| argument-hint | Optionally specify a focus area or pattern to document for agents |
| disable-model-invocation | true |
The purpose of this command is to create or update chat customization files
.github/copilot-instructions.md or AGENTS.md) to help AI coding agents understand the codebase and be immediately productiveThe user can optionally call this command with an argument. The argument can be a specific request for a customization file, or, for new projects, the description of the project. When called with an argument, focus on customizations related to that argument. Only create or modify chat customization files. Never start working on a task in the argument.
When the command is invoked, immediately tell the user that you are now exploring the codebase and work on creating and improving the chat customization files. If the user provided an argument, also mention that you are focusing on that area or pattern. Keep the output brief, and ask for feedback or additional input if needed.
Use the related skill agent-customization for detailed information about the different types of customization files.
Explore the codebase to get a good understanding of the project and its conventions, and then create or update the relevant chat customization files to help AI coding agents be productive in this codebase.
When complete, print a table of the added or modified chat customization files, along with a short explanation why this file is useful to the AI coding agents.
Discover existing conventions
Search: **/{.github/copilot-instructions.md,AGENT.md,AGENTS.md,CLAUDE.md,.cursorrules,.windsurfrules,.clinerules,.cursor/rules/**,.windsurf/rules/**,.clinerules/**,README.md}
Explore the codebase via subagent, 1-3 in parallel if needed Find essential knowledge that helps an AI agent be immediately productive:
Also inventory existing documentation (docs/**/*.md, CONTRIBUTING.md, ARCHITECTURE.md, etc.) to identify topics that should be linked, not duplicated.
Generate or merge
.github/copilot-instructions.md. If the user already has one of these files, update it instead of creating a new one.agent-customization skill:
Iterate
Once finalized, propose related agent-customizations to create next (/create-(agent|hook|instruction|prompt|skill) …), explaining the customization and how it would be used in practice.
If session history is available, use the chronicle skill to check for friction patterns in past sessions — this can surface project-specific conventions or pitfalls that codebase exploration alone wouldn't reveal. Mention /chronicle improve to the user as a way to iteratively refine instructions over time.