writing-release-notes

Generates release notes and changelog entries for the DocumentDB VS Code extension. Use when preparing version releases, creating patch update notes, writing…

npx skills add https://github.com/microsoft/vscode-documentdb --skill writing-release-notes

Writing Release Notes and Changelog

Generate professional release documentation for the DocumentDB VS Code extension.

When to Use

  • Creating release notes for a new version (X.Y.0)
  • Appending patch release notes (X.Y.Z where Z > 0)
  • Writing changelog entries for any version
  • Documenting new features, improvements, or fixes

Quick Reference

Version TypeRelease Notes ActionChangelog Action
Major/Minor (1.0.0, 1.1.0)Create new docs/release-notes/X.Y.mdAdd new ## X.Y.0 section at top
Patch (1.1.1, 1.1.2)Append to existing docs/release-notes/X.Y.mdAdd new ## X.Y.Z section at top

Input Format

You will receive:

  1. Version number (e.g., 0.7.0, 0.6.4)
  2. List of changes with:
    • Brief description of change
    • Issue link(s) and/or PR link(s)
    • Category: Feature, Fix, Improvement, or Security

Output Files

Changelog (CHANGELOG.md)

Location: /CHANGELOG.md (repository root)

Style: Concise, technical, factual

For format and examples, see CHANGELOG-FORMAT.md

Release Notes (docs/release-notes/X.Y.md)

Location: /docs/release-notes/{major}.{minor}.md

Style: Enthusiastic, user-focused, marketing-oriented

For format and examples, see RELEASE-NOTES-FORMAT.md

Workflow

Step 1: Determine Version Type

Version X.Y.Z:
├── Z = 0 (major/minor release)
│   ├── Create new release notes file: docs/release-notes/X.Y.md
│   └── Add new changelog section at TOP of CHANGELOG.md
└── Z > 0 (patch release)
    ├── Append patch section to existing docs/release-notes/X.Y.md
    └── Add new changelog section at TOP of CHANGELOG.md

Step 2: Generate Changelog Entry

  1. Read CHANGELOG-FORMAT.md for format
  2. Add entry at TOP of CHANGELOG.md (below # Change Log heading)
  3. Keep descriptions brief (1-2 sentences max)
  4. Include issue/PR links in format: [#123](https://github.com/microsoft/vscode-documentdb/issues/123)

Step 3: Generate Release Notes

  1. Read RELEASE-NOTES-FORMAT.md for format
  2. For X.Y.0: Create new file with full header and "What's New" sections
  3. For X.Y.Z: Append patch section to existing X.Y.md file
  4. Use exciting language for features, clear language for fixes
  5. Include images when applicable (reference existing patterns)

Step 4: Update Release Notes Index

  1. Open docs/index.md
  2. Find the Release Notes section
  3. For X.Y.0: Add a new line - [X.Y](./release-notes/X.Y) at the top of the list
  4. For X.Y.Z (patch): Append , [X.Y.Z](./release-notes/X.Y#patch-release-vXYZ) to the existing line for that major.minor version (where vXYZ uses no dots, e.g., v071)
  5. Follow the existing pattern of other entries in the list

Writing Guidelines

Changelog Tone

  • Technical and factual
  • No marketing language
  • Focus on WHAT changed

Release Notes Tone

  • Enthusiastic and user-focused
  • Highlight benefits to developers
  • Use emojis sparingly (⭐ for major features, 💠 for patch items)
  • Focus on WHY this helps users

Link Format

<!-- Issue link -->

[#123](https://github.com/microsoft/vscode-documentdb/issues/123)

<!-- PR link -->

[#456](https://github.com/microsoft/vscode-documentdb/pull/456)

<!-- Combined -->

[#123](https://github.com/microsoft/vscode-documentdb/issues/123), [#456](https://github.com/microsoft/vscode-documentdb/pull/456)

Validation Checklist

Before completing:

  • Changelog added at TOP of CHANGELOG.md
  • All issue/PR links are correct and clickable
  • Version numbers match across all files
  • Categories are appropriate (Features, Fixes, Improvements)
  • Release notes use proper header format
  • Patch releases append to existing file with --- separator
  • docs/index.md Release Notes section updated with link to new version

More skills from microsoft

oss-growth
microsoft
OSS growth hacker persona
agent-framework-azure-ai-py
microsoft
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
devops
azure-ai-anomalydetector-java
microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
development
azure-ai-language-conversations-py
microsoft
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development