doc-writer

作者: microsoft

规划和编写新功能或更新功能的VS Code文档。当用户要求“记录”、“添加文档”、“编写文档”或…时,始终使用此技能。

npx skills add https://github.com/microsoft/vscode-docs --skill doc-writer

Document a Feature

Help document a new or updated VS Code feature in the project documentation (the docs/ folder) and keep its required navigation metadata current. This skill works in two phases: it first researches the feature and proposes a documentation plan, then implements the changes only after you approve. It is acceptable to conclude that no documentation update is needed.

When to Use

Use this skill whenever the request maps to any of these — do not start editing docs directly without first running Phase 1:

  • The user says "document this", "document this functionality/feature", "add docs for…", "write docs for…", or "update the docs for…".
  • The user pastes a GitHub issue or PR link and asks you to document or address it in the docs.
  • Documenting a new or changed VS Code or GitHub Copilot feature.
  • Turning a GitHub issue or PR into concrete docs/ updates.
  • Auditing whether existing docs need updating after a feature change.

This applies even when the change looks small (a clarification, a few added steps, a single section). Run the plan-first workflow rather than jumping straight to edits.

Do not use this skill for release notes, API reference docs, redirects, image swaps, or pure copy-edits — those are handled by other skills (release-note-writer, content-redirect, frontmatter-description) or direct edits.

Guardrails

  • Docs and sitemap only. Limit content changes to the docs/ folder. When you add an article or change an article URL, update build/sitemap.xml in the same change. Do not update release notes or API docs (api/) unless the user explicitly asks.
  • Public functionality only. Do not add or retain documentation for internal builds, dogfood-only functionality, hidden settings or commands, source-only implementation, or manually settable internal feature flags.
  • Never edit enterprise/policies.md. This file is generated from the enterprise policy definitions in the VS Code source. Edit enterprise/policies-template.md instead, which is used to regenerate policies.md.
  • Screenshots are human work. When a screenshot needs to be added or updated, insert a TODO comment in the doc for a human to capture and insert it later — do not fabricate image references.
  • Style compliance. All writing must follow the docs-writing style guide.

Phase 1 — Research & Propose a Plan (no edits)

Do not modify any files in this phase.

  1. Understand the feature. Read the feature description, issue, or PR provided. If the description is ambiguous or lacks detail, ask clarifying questions before continuing.

  2. Establish the content framing. Identify the primary persona, reader intent, and article purpose by following the content-framing guidance. Infer them from the existing content, documentation journey, source material, and writer's request. If any part of the framing remains ambiguous and different interpretations would change the content, ask the writer to confirm before planning edits.

  3. Check the source if needed. To understand the implementation, inspect the source code in the microsoft/vscode repo. Use the gh CLI for all GitHub interactions (issues, PRs, code). See user memory gh-cli-powershell.md for PowerShell-specific gh patterns.

    Area being documentedPrimary source repo
    Core editor, workbench, debug, terminal, tasks, settings, commands, keybindingsmicrosoft/vscode
    Copilot Chat, inline chat, agent mode, chat tools, chat participants, MCP in chatmicrosoft/vscode-copilot-chat
    Enterprise policiesmicrosoft/vscode (policy definitions)
  4. Verify public availability. Check every feature, setting, and command against the public product channel intended for the article. Public Preview, Experimental, and Insiders functionality qualifies when labeled clearly. Source-code existence or manual configurability is not enough. Inspect registration metadata, product quality gates, feature flags, and the relevant public release. Treat metadata such as included: false as internal unless product evidence shows otherwise. If functionality is not public, do not document it. During an audit or review, propose removing existing coverage.

  5. Identify affected docs. Search the docs/ folder for the pages that need to be created or updated. Map each change to a specific file and section. Include docs/toc.json and build/sitemap.xml in the plan when you add an article or change an article URL.

  6. Present the plan. Summarize:

    • The primary persona, reader intent, and article purpose.
    • Which docs/ files and required navigation metadata you propose to create or change, and a short description of each edit.
    • Any TODO screenshot placeholders that will be needed.
    • Open questions or assumptions.

    If you conclude that no documentation update is needed, say so and ask the user to confirm before closing out.

  7. Stop and wait for approval. Do not proceed to Phase 2 until the user explicitly approves the plan (or adjusts it).

Phase 2 — Confirm the Branch & Implement (after approval)

Once the user approves the plan:

  1. Confirm the branch before editing. Use the user-question tool to ask whether to create a new branch from main before implementing the documentation updates. Offer these choices:

    • Yes, create a new branch from main (Recommended)
    • No, continue on the current branch

    Do not modify documentation files until the user answers. If the user chooses a new branch, ask for a branch name unless they already supplied one, then create the branch from main before editing. If uncommitted changes prevent safe branch creation, stop and explain the conflict instead of stashing or reverting changes. If the user chooses the current branch, continue without changing branches.

  2. Apply the documentation edits exactly as agreed, following the docs-writing style guide and the approved content framing.

  3. Add TODO comments where screenshots need to be captured by a human.

  4. Respect the guardrails above (docs content and required sitemap updates only; no release notes/API docs unless asked; never edit generated policies.md).

  5. Verify that the introduction, main content, examples, and next steps serve the approved primary persona and reader intent.

  6. Summarize the changes you made and call out any remaining TODOs for the user.

Orchestrate your documentation updates

  • Act as a reviewer and coordinator
  • Delegate work to GPT-5.6 Sol subagents, in parallel when feasible.
  • The subagents should not themselves run validation on their work, that's your job! You own the plan; delegate work in parallel when reasonable.
  • Monitor the progress of subagents and integrate their contributions into the final documentation.

来自 microsoft 的更多技能

oss-growth
microsoft
OSS增长黑客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。在创建使用AzureAIAgentsProvider的持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应时使用。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
在AKS上设置AI Runway——从裸集群到运行模型。涵盖集群验证、控制器安装、GPU评估、提供商设置和首次部署。适用场景:“设置AI Runway”、“接入AKS集群”、“安装AI Runway”、“airunway设置”、“将模型部署到AKS”、“在AKS上进行GPU推理”、“在AKS上配置KAITO”、“在AKS上运行LLM”、“在AKS上使用vLLM”、“在AKS上设置模型服务”、“AI Runway控制器”。
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights对Web应用进行插桩的指南。提供遥测模式、SDK设置和配置参考。适用场景:如何对应用进行插桩、App Insights SDK、遥测模式、什么是App Insights、Application Insights指南、插桩示例、APM最佳实践。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)为浏览器/Web应用添加检测。用于真实用户监控(RUM)——页面视图、点击、AJAX/fetch依赖项、异常、自定义事件,以及与后端OpenTelemetry追踪关联的浏览器端GenAI代理追踪。涵盖SDK加载器脚本和npm设置、框架扩展(React、React Native、Angular)、点击分析、遥测初始化器,以及从浏览器发出的代理/工具/模型跨度所遵循的OTel GenAI语义约定。
devops
azure-ai-anomalydetector-java
microsoft
使用适用于 Java 的 Azure AI 异常检测器 SDK 构建异常检测应用程序。在实现单变量/多变量异常检测、时间序列分析或 AI 驱动的监控时使用。
development
azure-ai-language-conversations-py
microsoft
使用azure-ai-language-conversations Python SDK实现对话语言理解(CLU)。当使用ConversationAnalysisClient分析对话意图和实体、构建NLP功能或将语言理解集成到应用程序中时使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用于机器学习工作区、作业、模型、数据集、计算资源和管道。 触发词:“azure-ai-ml”、“MLClient”、“工作区”、“模型注册表”、“训练作业”、“数据集”。
development