microsoft/vscode-docs · Archived

docs-product-alignment

Audit and update docs/copilot/ documentation to accurately reflect current VS Code AI capabilities.

First seen Apr 25, 2026

Installation

$ npx skills add microsoft/vscode-docs --skill docs-product-alignment

Summary

  • Audit and update docs/copilot/ documentation to accurately reflect current VS Code AI capabilities.
  • Use when: competitive analysis reveals gaps, product launches new features, docs use outdated framing, or keyword coverage needs strengthening for discoverability by users and AI agents.
  • Produces a gap analysis plus targeted edits across affected files.

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from microsoft/vscode-docs · top by installs.

npx skills add microsoft/vscode-docs

Browse all from microsoft/vscode-docs

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 6.6K
License LICENSE.md
Default branch main
Open issues 98
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,764 B
  • docs SUMMARY.md 383 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 10 installs

SKILL.md

Documentation Product Alignment

Audit VS Code Copilot documentation against current product capabilities and produce targeted, style-compliant edits. Follow the [docs-writing style guide](../../instructions/docs-writing.instructions.md) for all writing rules.

Guardrails

  • Factual only. Every claim must map to something the product does today. No superlatives, no competitive comparisons, no invented terminology.
  • Content framing. Establish each page's primary persona, reader intent, and article purpose by following the [content-framing guidance](../../instructions/docs-writing.instructions.md#content-framing). Ask the writer before editing when the framing is ambiguous and would change the audit or recommendations.
  • Two consumers. The primary persona reads the prose; AI agents and search crawlers index Keywords, MetaDescriptions, and opening paragraphs. Both matter.
  • Minimal edits. Change only what is inaccurate, outdated, or missing. One precise sentence beats a rewritten section.
  • Verifiable. If you cannot point to a UI element, setting, or documented behavior, do not write it.

Workflow

  1. Gather context and frame each page. Read the latest [release notes](/release-notes/), check github.com/features/copilot, and review any competitive claims or feature matrices the user provides. For each page, record its primary persona, reader intent, and article purpose before proposing edits.
  2. Audit high-traffic pages. Read each page and compare against current product truth. Focus on MetaDescriptions, Keywords, opening paragraphs, and terminology.
  3. Gap analysis. List what is inaccurate, outdated, or missing. Map each gap to a file and location. Include the page framing in the analysis, and prioritize by page traffic and impact on the primary persona's intent.
  4. Edit. Apply targeted changes that support the recorded framing. Vary phrasing across pages to avoid repetition.
  5. Verify. Search changed files for banned words, em-dashes, and MetaDescription length violations. Confirm that each changed page still serves its recorded primary persona and reader intent.

High-traffic pages to always check:

  • [docs/copilot/overview.md](/docs/copilot/overview.md), [docs/copilot/concepts/overview.md](/docs/agents/concepts/overview.md), [docs/agents/reference/ai-features-cheat-sheet.md](/docs/agents/reference/ai-features-cheat-sheet.md)
  • [docs/copilot/getting-started.md](/docs/copilot/getting-started.md), [docs/agents/overview.md](/docs/agents/overview.md)
  • [docs/agents/reference/workspace-context.md](/docs/agents/reference/workspace-context.md), [docs/agents/agent-troubleshooting/faq.md](/docs/agents/agent-troubleshooting/faq.md)

Terminology

Use these terms consistently. The "Avoid" column lists terms that creep in but should not.

Concept Use Avoid
Autonomous coding sessions agents agent mode, agentic workflows
Running without user interaction background agents background agent mode
Code suggestions as you type inline suggestions code completions, autocomplete
Predicted next edit location next edit suggestions (NES) predictive edits
Understanding code across files workspace context, cross-file reasoning deep semantic understanding (overuse)
GitHub's search for code context GitHub's code search remote search
VS Code's type/symbol analysis language intelligence (IntelliSense, LSP) code intelligence
Multiple AI model options multiple AI models leading AI models
Plan then implement workflow Plan agent, implementation agent planning mode

Capability areas

When auditing, ensure docs accurately cover these areas:

  • Agents: plan, implement, verify, parallel sessions, local/background/cloud, third-party support
  • Context: semantic search, language intelligence (LSP), GitHub code search, cross-repo awareness
  • Multi-file editing: coordinated changes, architecture-level refactoring, framework migrations
  • Enterprise: organization policies, model access controls, content exclusions, trust boundaries
  • SDLC workflow: Plan agent, implementation agent, Copilot code review, background/cloud handoff
  • Scale: large codebases, monorepos, multi-root workspaces, remote indexing