deploy-checklist▌
anthropics/knowledge-work-plugins · updated Apr 8, 2026
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If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
/deploy-checklist
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Generate a pre-deployment checklist to verify readiness before shipping.
Usage
/deploy-checklist $ARGUMENTS
Output
## Deploy Checklist: [Service/Release]
**Date:** [Date] | **Deployer:** [Name]
### Pre-Deploy
- [ ] All tests passing in CI
- [ ] Code reviewed and approved
- [ ] No known critical bugs in release
- [ ] Database migrations tested (if applicable)
- [ ] Feature flags configured (if applicable)
- [ ] Rollback plan documented
- [ ] On-call team notified
### Deploy
- [ ] Deploy to staging and verify
- [ ] Run smoke tests
- [ ] Deploy to production (canary if available)
- [ ] Monitor error rates and latency for 15 min
- [ ] Verify key user flows
### Post-Deploy
- [ ] Confirm metrics are nominal
- [ ] Update release notes / changelog
- [ ] Notify stakeholders
- [ ] Close related tickets
### Rollback Triggers
- Error rate exceeds [X]%
- P50 latency exceeds [X]ms
- [Critical user flow] fails
Customization
Tell me about your deploy and I'll customize the checklist:
- "We use feature flags" → adds flag verification steps
- "This includes a database migration" → adds migration-specific checks
- "This is a breaking API change" → adds consumer notification steps
If Connectors Available
If ~~source control is connected:
- Pull the release diff and list of changes
- Verify all PRs are approved and merged
If ~~CI/CD is connected:
- Check build and test status automatically
- Verify pipeline is green before deploy
If ~~monitoring is connected:
- Pre-fill rollback trigger thresholds from current baselines
- Set up post-deploy metric watch
Tips
- Run before every deploy — Even routine ones. Checklists prevent "I forgot to..."
- Customize once, reuse — Tell me your stack and I'll remember your deploy process.
- Include rollback criteria — Decide when to roll back before you deploy, not during.
How to use deploy-checklist 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 deploy-checklist
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches deploy-checklist from GitHub repository anthropics/knowledge-work-plugins 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 deploy-checklist. Access the skill through slash commands (e.g., /deploy-checklist) 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
4.6★★★★★64 reviews- ★★★★★Shikha Mishra· Dec 20, 2024
Useful defaults in deploy-checklist — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Min Khanna· Dec 20, 2024
deploy-checklist reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ganesh Mohane· Dec 16, 2024
deploy-checklist fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aditi Singh· Dec 8, 2024
deploy-checklist has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aditi Srinivasan· Dec 4, 2024
Keeps context tight: deploy-checklist is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kabir Ghosh· Nov 27, 2024
Useful defaults in deploy-checklist — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Liam Robinson· Nov 23, 2024
Registry listing for deploy-checklist matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yash Thakker· Nov 11, 2024
deploy-checklist has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Liam Jackson· Nov 11, 2024
deploy-checklist is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kabir Martinez· Oct 18, 2024
I recommend deploy-checklist for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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