changelog▌
Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026
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### 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]"
- ›allowed-tools: Read, Glob, Grep, Bash, Write
| 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 |
Phase 1: Parse Arguments
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.
Phase 2: Gather Change Data
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.
Phase 3: Categorize Changes
Categorize every change into one of these categories:
- New Features: Entirely new gameplay systems, modes, or content
- Improvements: Enhancements to existing features, UX improvements, performance gains
- Bug Fixes: Corrections to broken behavior
- Balance Changes: Tuning of gameplay values, difficulty, economy
- Known Issues: Issues the team is aware of but have not yet resolved
- Miscellaneous: Changes that do not fit the above categories, or commits whose messages are too vague to classify confidently
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].
Phase 4: Generate Internal Changelog
# 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]
Phase 5: Generate Player-Facing Changelog
# 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].
Phase 6: Output
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.
Phase 7: Offer File Write
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"
- Check whether
docs/CHANGELOG.mdexists before asking. If it does, default the recommendation to [A] append. - If the user selects [A]: append the new internal changelog entry to the top of the existing file (newest entries first).
- If the user selects [B]: overwrite the file with the new changelog.
- If the user selects [C]: stop here without writing.
After a successful write: Verdict: CHANGELOG WRITTEN — changelog saved to docs/CHANGELOG.md.
If the user declines: Verdict: COMPLETE — changelog generated.
Phase 7: Next Steps
- Use
/patch-notes [version]to generate a styled, saved version for public release. - Use
/release-checklistbefore publishing the changelog externally.
Guidelines
- Never expose internal code references, file paths, or developer names in the player-facing changelog
- Group related changes together rather than listing individual commits
- If a commit message is unclear, check the associated files and sprint data for context
- Balance changes should always include the design reasoning, not just the numbers
- Known issues should be honest — players appreciate transparency
- If the git history is messy (merge commits, reverts, fixup commits), clean up the narrative rather than listing every commit literally
How to use changelog on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add changelog
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches changelog from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate changelog. Access the skill through slash commands (e.g., /changelog) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★68 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
Registry listing for changelog matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Amelia Bhatia· Dec 16, 2024
Solid pick for teams standardizing on skills: changelog is focused, and the summary matches what you get after install.
- ★★★★★Hassan Taylor· Dec 16, 2024
changelog reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Noor Huang· Dec 12, 2024
Registry listing for changelog matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Noah Gupta· Dec 8, 2024
Keeps context tight: changelog is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kaira Verma· Nov 27, 2024
I recommend changelog for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Piyush G· Nov 19, 2024
changelog reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Hassan Thomas· Nov 7, 2024
changelog has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kaira Nasser· Nov 7, 2024
Registry listing for changelog matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Jin Agarwal· Nov 3, 2024
changelog fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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