### Changelog
Works with
description: "Auto-generates a changelog from git commits, sprint data, and design documents. Produces both internal and player-facing versions."
argument-hint: "[version|sprint-number]"
allowed-tools: Read, Glob, Grep, Bash, Write
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionchangelogExecute the skills CLI command in your project's root directory to begin installation:
Fetches changelog from Donchitos/Claude-Code-Game-Studios and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate changelog. Access via /changelog in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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| name | changelog |
| description | "Auto-generates a changelog from git commits, sprint data, and design documents. Produces both internal and player-facing versions." |
| argument-hint | "[version|sprint-number]" |
| user-invocable | true |
| allowed-tools | Read, Glob, Grep, Bash, Write |
| context | | !git log --oneline -30 2>/dev/null !git tag --list --sort=-v:refname 2>/dev/null | head -5 |
| model | haiku |
Read the argument for the target version or sprint number. If a version is given, use the corresponding git tag. If a sprint number is given, use the sprint date range.
Verify the repository is initialized: run git rev-parse --is-inside-work-tree to confirm git is available. If not a git repo, inform the user and abort gracefully.
Read the git log since the last tag or release:
git log --oneline [last-tag]..HEAD
If no tags exist, read the full log or a reasonable recent range (last 100 commits).
Read sprint reports from production/sprints/ for the relevant period to understand planned work and context behind changes.
Read completed design documents from design/gdd/ for any new features implemented during this period.
Categorize every change into one of these categories:
For each commit, check whether the message contains a task ID or story reference
(e.g. [STORY-123], TR-, #NNN, or similar). Count commits that lack any task reference
and include this count in the Phase 4 Metrics section as: Commits without task reference: [N].
# Internal Changelog: [Version]
Date: [Date]
Sprint(s): [Sprint numbers covered]
Commits: [Count] ([first-hash]..[last-hash])
## New Features
- [Feature Name] -- [Technical description, affected systems]
- Commits: [hash1], [hash2]
- Owner: [who implemented it]
- Design doc: [link if applicable]
## Improvements
- [Improvement] -- [What changed technically and why]
- Commits: [hashes]
- Owner: [who]
## Bug Fixes
- [BUG-ID] [Description of bug and root cause]
- Fix: [What was changed]
- Commits: [hashes]
- Owner: [who]
## Balance Changes
- [What was tuned] -- [Old value -> New value] -- [Design intent]
- Owner: [who]
## Technical Debt / Refactoring
- [What was cleaned up and why]
- Commits: [hashes]
## Miscellaneous
- [Change that didn't fit other categories, or vague commit message]
- Commits: [hashes]
## Known Issues
- [Issue description] -- [Severity] -- [ETA for fix if known]
## Metrics
- Total commits: [N]
- Files changed: [N]
- Lines added: [N]
- Lines removed: [N]
- Commits without task reference: [N]
# What is New in [Version]
## New Features
- **[Feature Name]**: [Player-friendly description of what they can now do
and why it is exciting. Focus on the experience, not the implementation.]
## Improvements
- **[What improved]**: [How this makes the game better for the player.
Be specific but avoid jargon.]
## Bug Fixes
- Fixed an issue where [describe what the player experienced, not what was
wrong in the code]
- Fixed [player-visible symptom]
## Balance Changes
- [What changed in player-understandable terms and the design intent.
Example: "Healing potions now restore 50 HP (up from 30) -- we felt
players needed more recovery options in late-game encounters."]
## Known Issues
- We are aware of [issue description in player terms] and are working on a
fix. [Workaround if one exists.]
---
Thank you for playing! Your feedback helps us make the game better.
Report issues at [link].
Output both changelogs to the user. The internal changelog is the primary working document. The player-facing changelog is ready for community posting after review.
After presenting the changelogs, ask the user:
"May I write this changelog to
docs/CHANGELOG.md? [A] Yes, append this entry (recommended if the file already exists) [B] Yes, overwrite the file entirely [C] No — I'll copy it manually"
docs/CHANGELOG.md exists before asking. If it does, default the
recommendation to [A] append.After a successful write: Verdict: CHANGELOG WRITTEN — changelog saved to docs/CHANGELOG.md.
If the user declines: Verdict: COMPLETE — changelog generated.
/patch-notes [version] to generate a styled, saved version for public release./release-checklist before publishing the changelog externally.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Registry listing for changelog matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: changelog is focused, and the summary matches what you get after install.
changelog reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for changelog matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: changelog is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend changelog for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
changelog reduced setup friction for our internal harness; good balance of opinion and flexibility.
changelog has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for changelog matched our evaluation — installs cleanly and behaves as described in the markdown.
changelog fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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