ranbot-ai/changelog-automation
skills/changelog-automation/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add ranbot-ai/awesome-skills changelog-automationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
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Last scanned: Apr 22, 2026, 1:43 PM110.5s1 file scanned
SKILL.md
- name:
- changelog-automation
- description:
- 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.
- category:
- AI & Agents
- source:
- antigravity
- tags:
- [ai, automation, workflow, template]
- url:
- https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/changelog-automation
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.mdfor 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.
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