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changelog-automation

Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.

Published by sickn33 ↗sickn33/agentic-awesome-skills

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changelog-automation

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Use changelog-automation to set up Keep a Changelog release-note automation for [repository] using its existing reliable commit history and versioning process; keep internal details out of notes and do not publish anything without my explicit approval.

Required inputs

  • [repository]

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SKILL.md

name: changelog-automationdescription: Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.metadata:   aas-risk: critical  aas-source: community  aas-date-added: '2026-02-27'

Changelog Automation

Patterns and tools for automating changelog generation, release notes, and version management following industry standards.

Use this skill when

  • Setting up automated changelog generation
  • Implementing conventional commits
  • Creating release note workflows
  • Standardizing commit message formats
  • Managing semantic versioning

Do not use this skill when

  • The project has no release process or versioning
  • You only need a one-time manual release note
  • Commit history is unavailable or unreliable

Instructions

  • Select a changelog format and versioning strategy.
  • Enforce commit conventions or labeling rules.
  • Configure tooling to generate and publish notes.
  • Review output for accuracy, completeness, and wording.
  • If detailed examples are required, open resources/implementation-playbook.md.

Safety

  • Avoid exposing secrets or internal-only details in release notes.

Resources

  • resources/implementation-playbook.md for detailed patterns, templates, and examples.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.