deploy-checklist
/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.
More from anthropics/knowledge-work-plugins
data-visualization
Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
6.3Kcode-review
Review code changes for security, performance, and correctness. Trigger with a PR URL or diff, "review this before I merge", "is this code safe?", or when checking a change for N+1 queries, injection risks, missing edge cases, or error handling gaps.
4.0Ktask-management
Simple task management using a shared TASKS.md file. Reference this when the user asks about their tasks, wants to add/complete tasks, or needs help tracking commitments.
3.4Ksystem-design
Design systems, services, and architectures. Trigger with "design a system for", "how should we architect", "system design for", "what's the right architecture for", or when the user needs help with API design, data modeling, or service boundaries.
3.2Kmemory-management
Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.
3.2Kdocumentation
Write and maintain technical documentation. Trigger with "write docs for", "document this", "create a README", "write a runbook", "onboarding guide", or when the user needs help with any form of technical writing — API docs, architecture docs, or operational runbooks.
3.1K