changelog-generator▌
skillcreatorai/ai-agent-skills · updated Apr 8, 2026
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This skill transforms technical git commits into polished, user-friendly changelogs that your customers and users will actually understand and appreciate.
Changelog Generator
This skill transforms technical git commits into polished, user-friendly changelogs that your customers and users will actually understand and appreciate.
When to Use This Skill
- Preparing release notes for a new version
- Creating weekly or monthly product update summaries
- Documenting changes for customers
- Writing changelog entries for app store submissions
- Generating update notifications
- Creating internal release documentation
- Maintaining a public changelog/product updates page
What This Skill Does
- Scans Git History: Analyzes commits from a specific time period or between versions
- Categorizes Changes: Groups commits into logical categories (features, improvements, bug fixes, breaking changes, security)
- Translates Technical → User-Friendly: Converts developer commits into customer language
- Formats Professionally: Creates clean, structured changelog entries
- Filters Noise: Excludes internal commits (refactoring, tests, etc.)
- Follows Best Practices: Applies changelog guidelines and your brand voice
How to Use
Basic Usage
From your project repository:
Create a changelog from commits since last release
Generate changelog for all commits from the past week
Create release notes for version 2.5.0
With Specific Date Range
Create a changelog for all commits between March 1 and March 15
With Custom Guidelines
Create a changelog for commits since v2.4.0, using my changelog
guidelines from CHANGELOG_STYLE.md
Example
User: "Create a changelog for commits from the past 7 days"
Output:
# Updates - Week of March 10, 2024
## ✨ New Features
- **Team Workspaces**: Create separate workspaces for different
projects. Invite team members and keep everything organized.
- **Keyboard Shortcuts**: Press ? to see all available shortcuts.
Navigate faster without touching your mouse.
## 🔧 Improvements
- **Faster Sync**: Files now sync 2x faster across devices
- **Better Search**: Search now includes file contents, not just titles
## 🐛 Fixes
- Fixed issue where large images wouldn't upload
- Resolved timezone confusion in scheduled posts
- Corrected notification badge count
Inspired by: Manik Aggarwal's use case from Lenny's Newsletter
Tips
- Run from your git repository root
- Specify date ranges for focused changelogs
- Use your CHANGELOG_STYLE.md for consistent formatting
- Review and adjust the generated changelog before publishing
- Save output directly to CHANGELOG.md
Related Use Cases
- Creating GitHub release notes
- Writing app store update descriptions
- Generating email updates for users
- Creating social media announcement posts
How to use changelog-generator 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-generator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches changelog-generator from GitHub repository skillcreatorai/ai-agent-skills 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-generator. Access the skill through slash commands (e.g., /changelog-generator) 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▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★46 reviews- ★★★★★Kaira Huang· Dec 28, 2024
changelog-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kiara Kapoor· Dec 24, 2024
Keeps context tight: changelog-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Fatima Perez· Dec 24, 2024
changelog-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 20, 2024
changelog-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Alexander Agarwal· Dec 8, 2024
We added changelog-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Daniel Haddad· Nov 27, 2024
Useful defaults in changelog-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Olivia Diallo· Nov 15, 2024
changelog-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Oshnikdeep· Nov 11, 2024
Keeps context tight: changelog-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noah Khan· Nov 7, 2024
I recommend changelog-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Amelia Robinson· Oct 26, 2024
changelog-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
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