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Deploy checklist

Skill Jylhis/skills/skills/engineering/deploy-checklist

Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.From its SKILL.md

Install
npx -y skills add Jylhis/skills --skill deploy-checklist

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.5 KB, 494 tokens by cl100k_base, as published. Nobody here has run it

/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

  1. Run before every deploy — Even routine ones. Checklists prevent "I forgot to..."
  2. Customize once, reuse — Tell me your stack and I'll remember your deploy process.
  3. Include rollback criteria — Decide when to roll back before you deploy, not during.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 1 of the 12 instructions most ship operate skills give in 494 tokens

Counted across 779 of the 1,178 authors here whose files we hold, read 2026-08-07

  • Document a rollback plan before deploymenthere, and in 41 of 779, across 22 files
  • Update the changelogin 21 of 779, across 19 files
  • Run the test suitein 20 of 779
  • Create an annotated git tagin 20 of 779
  • Clean up feature flags after full rolloutin 18 of 779, across 10 files
  • Verify deployment health after launchin 18 of 779, across 10 files
  • Test both feature flag statesin 17 of 779, across 9 files
  • Verify the working tree is cleanin 17 of 779
  • Make database migrations backward-compatiblein 16 of 779, across 8 files
  • Set up error monitoring before launchin 15 of 779, across 7 files
  • Monitor metrics at each rollout stagein 14 of 779, across 5 files
  • Create a GitHub releasein 14 of 779

Said here and by no other author read

  • confirm no critical bugs in release
  • deploy to production using canary if available

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.