commit-work

softaworks/agent-toolkit · updated Apr 8, 2026

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$npx skills add https://github.com/softaworks/agent-toolkit --skill commit-work
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summary

Create logical, well-described git commits with staged review and Conventional Commits formatting.

  • Guides you through inspecting changes, deciding commit boundaries, and staging only intended modifications using patch mode when needed
  • Enforces Conventional Commits format (type, scope, subject, body, footer) with clear separation of what changed and why
  • Includes a pre-commit checklist covering secrets detection, accidental debug code, and unrelated formatting to catch issues before sh
skill.md

Commit work

Goal

Make commits that are easy to review and safe to ship:

  • only intended changes are included
  • commits are logically scoped (split when needed)
  • commit messages describe what changed and why

Inputs to ask for (if missing)

  • Single commit or multiple commits? (If unsure: default to multiple small commits when there are unrelated changes.)
  • Commit style: Conventional Commits are required.
  • Any rules: max subject length, required scopes.

Workflow (checklist)

  1. Inspect the working tree before staging
    • git status
    • git diff (unstaged)
    • If many changes: git diff --stat
  2. Decide commit boundaries (split if needed)
    • Split by: feature vs refactor, backend vs frontend, formatting vs logic, tests vs prod code, dependency bumps vs behavior changes.
    • If changes are mixed in one file, plan to use patch staging.
  3. Stage only what belongs in the next commit
    • Prefer patch staging for mixed changes: git add -p
    • To unstage a hunk/file: git restore --staged -p or git restore --staged <path>
  4. Review what will actually be committed
    • git diff --cached
    • Sanity checks:
      • no secrets or tokens
      • no accidental debug logging
      • no unrelated formatting churn
  5. Describe the staged change in 1-2 sentences (before writing the message)
    • "What changed?" + "Why?"
    • If you cannot describe it cleanly, the commit is probably too big or mixed; go back to step 2.
  6. Write the commit message
    • Use Conventional Commits (required):
      • type(scope): short summary
      • blank line
      • body (what/why, not implementation diary)
      • footer (BREAKING CHANGE) if needed
    • Prefer an editor for multi-line messages: git commit -v
    • Use references/commit-message-template.md if helpful.
  7. Run the smallest relevant verification
    • Run the repo's fastest meaningful check (unit tests, lint, or build) before moving on.
  8. Repeat for the next commit until the working tree is clean

Deliverable

Provide:

  • the final commit message(s)
  • a short summary per commit (what/why)
  • the commands used to stage/review (at minimum: git diff --cached, plus any tests run)
how to use commit-work

How to use commit-work on Cursor

AI-first code editor with Composer

1

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 commit-work
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/softaworks/agent-toolkit --skill commit-work

The skills CLI fetches commit-work from GitHub repository softaworks/agent-toolkit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/commit-work

Reload or restart Cursor to activate commit-work. Access the skill through slash commands (e.g., /commit-work) 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

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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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.852 reviews
  • Isabella Anderson· Dec 28, 2024

    Registry listing for commit-work matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ganesh Mohane· Dec 24, 2024

    Registry listing for commit-work matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nia Smith· Dec 8, 2024

    Keeps context tight: commit-work is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chen Wang· Dec 4, 2024

    Solid pick for teams standardizing on skills: commit-work is focused, and the summary matches what you get after install.

  • Anika Khanna· Dec 4, 2024

    commit-work fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Michael Desai· Nov 27, 2024

    Registry listing for commit-work matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Anaya Mensah· Nov 23, 2024

    commit-work has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • James Abebe· Nov 19, 2024

    Keeps context tight: commit-work is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakshi Patil· Nov 15, 2024

    Keeps context tight: commit-work is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Michael Khanna· Oct 18, 2024

    Useful defaults in commit-work — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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