git-commit▌
github/awesome-copilot · updated Apr 8, 2026
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Standardized git commits using Conventional Commits specification with intelligent diff analysis and message generation.
- ›Auto-detects commit type (feat, fix, docs, refactor, perf, test, build, ci, chore, revert) and scope from actual code changes
- ›Generates semantic commit messages following conventional format with optional body and footer sections
- ›Intelligently stages files for logical grouping when needed, with support for pattern-based and interactive staging
- ›Detects breaking c
Git Commit with Conventional Commits
Overview
Create standardized, semantic git commits using the Conventional Commits specification. Analyze the actual diff to determine appropriate type, scope, and message.
Conventional Commit Format
<type>[optional scope]: <description>
[optional body]
[optional footer(s)]
Commit Types
| Type | Purpose |
|---|---|
feat |
New feature |
fix |
Bug fix |
docs |
Documentation only |
style |
Formatting/style (no logic) |
refactor |
Code refactor (no feature/fix) |
perf |
Performance improvement |
test |
Add/update tests |
build |
Build system/dependencies |
ci |
CI/config changes |
chore |
Maintenance/misc |
revert |
Revert commit |
Breaking Changes
# Exclamation mark after type/scope
feat!: remove deprecated endpoint
# BREAKING CHANGE footer
feat: allow config to extend other configs
BREAKING CHANGE: `extends` key behavior changed
Workflow
1. Analyze Diff
# If files are staged, use staged diff
git diff --staged
# If nothing staged, use working tree diff
git diff
# Also check status
git status --porcelain
2. Stage Files (if needed)
If nothing is staged or you want to group changes differently:
# Stage specific files
git add path/to/file1 path/to/file2
# Stage by pattern
git add *.test.*
git add src/components/*
# Interactive staging
git add -p
Never commit secrets (.env, credentials.json, private keys).
3. Generate Commit Message
Analyze the diff to determine:
- Type: What kind of change is this?
- Scope: What area/module is affected?
- Description: One-line summary of what changed (present tense, imperative mood, <72 chars)
4. Execute Commit
# Single line
git commit -m "<type>[scope]: <description>"
# Multi-line with body/footer
git commit -m "$(cat <<'EOF'
<type>[scope]: <description>
<optional body>
<optional footer>
EOF
)"
Best Practices
- One logical change per commit
- Present tense: "add" not "added"
- Imperative mood: "fix bug" not "fixes bug"
- Reference issues:
Closes #123,Refs #456 - Keep description under 72 characters
Git Safety Protocol
- NEVER update git config
- NEVER run destructive commands (--force, hard reset) without explicit request
- NEVER skip hooks (--no-verify) unless user asks
- NEVER force push to main/master
- If commit fails due to hooks, fix and create NEW commit (don't amend)
How to use git-commit 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 git-commit
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches git-commit from GitHub repository github/awesome-copilot 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 git-commit. Access the skill through slash commands (e.g., /git-commit) 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
4.7★★★★★46 reviews- ★★★★★Carlos Flores· Dec 16, 2024
Solid pick for teams standardizing on skills: git-commit is focused, and the summary matches what you get after install.
- ★★★★★Maya Shah· Dec 12, 2024
Registry listing for git-commit matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dhruvi Jain· Dec 8, 2024
Solid pick for teams standardizing on skills: git-commit is focused, and the summary matches what you get after install.
- ★★★★★Meera Gill· Dec 4, 2024
I recommend git-commit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Oshnikdeep· Nov 27, 2024
We added git-commit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Charlotte Choi· Nov 23, 2024
git-commit reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Dev Choi· Nov 7, 2024
We added git-commit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Diego Gill· Nov 3, 2024
Useful defaults in git-commit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakura Jain· Oct 26, 2024
git-commit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Diego Rao· Oct 22, 2024
I recommend git-commit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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