agentleFS
aakashgaakashg/pm-claude-code-setup/.claude/skills/launch-checklist/SKILL.md

launch-checklist

Skill152 starsChanged 8 months agoMITView on GitHub

Pre-Launch - [ ] Feature complete and QA'd - [ ] Rollback plan documented and tested - [ ] Success metrics defined with baselines - [ ] Monitoring dashboards set up - [ ] Support team briefed with FAQ - [ ] Release notes drafted - [ ] Feature flag configured (if gradual rollout) Launch Day - [ ] Deploy during low-traffic window - [ ] Verify metrics are tracking - [ ] Monitor error rates for 2 hours -…

26 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use patch-notes, asset-audit and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • CoralGameSkill

    patch-notes

    Generate player-facing patch notes from git history, sprint data, and internal changelogs. Translates developer language into clear, engaging player communication.

    Also in 4 projects that use this

  • CoralGameSkill

    asset-audit

    Audits game assets for compliance with naming conventions, file size budgets, format standards, and pipeline requirements. Identifies orphaned assets, missing references, and standard violations.

    Also in 4 projects that use this

  • +10 more from CoralGame

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 21 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Every item needs an owner and a deadline.

    line 67
  2. Distinctive:

    Never launch on Friday afternoons

    line 68
  3. Distinctive:

    If rollback takes more than 5 minutes, add more testing time

    line 69
  4. Distinctive:

    Every item must be verifiable.

    line 70

“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Launch Checklist

Trigger

Activate on "launch checklist", "pre-launch check", "ready to launch?", "launch prep".

Behavior

Step 1: Get Context

Ask:

  1. What are you launching?
  2. Launch date
  3. How many users affected?
  4. Risk level (high/medium/low)

Step 2: Generate Checklist

Pre-Launch

  • Feature complete and QA'd
  • Rollback plan documented and tested
  • Success metrics defined with baselines
  • Monitoring dashboards set up
  • Support team briefed with FAQ
  • Release notes drafted
  • Feature flag configured (if gradual rollout)

Launch Day

  • Deploy during low-traffic window
  • Verify metrics are tracking
  • Monitor error rates for 2 hours
  • Send internal launch comms
  • Publish release notes

Post-Launch (48 hours)

  • Check primary metric vs baseline
  • Check guardrail metrics
  • Review support tickets for new issues
  • Share initial results with team

Post-Launch (1 week)

  • Full metrics review
  • Ship or iterate decision
  • Retrospective if needed

Risk Scaling

Scale the checklist to risk level:

Risk LevelWhenWhat to Add
LowConfig change, copy update, small UI tweakMinimal — deploy, monitor for 30 min, done
MediumNew feature behind flag, migration with rollbackFull checklist above. 2-hour monitoring window
HighPricing change, auth flow, data migration, public-facing APIEverything above PLUS: staged rollout (1% → 10% → 50% → 100%), war room channel, exec notification, 24-hour monitoring

Example: Good vs Bad Launch Checklist Items

Bad: "Make sure everything works" Good: "Verify signup flow completes end-to-end in staging (email → verification → first dashboard load). Test with Gmail, Outlook, and corporate SSO."

Bad: "Tell the team" Good: "Post in #eng-launches: what shipped, who's on-call, rollback command, link to monitoring dashboard."

Bad: "Watch metrics" Good: "Monitor error rate in Datadog for 2 hours post-deploy. Baseline: 0.3%. Alert threshold: 0.5%. Rollback threshold: 1.0%."

Rules

  • Higher risk = more checklist items. Scale accordingly.
  • Every item needs an owner and a deadline. Not "soon" — a time.
  • Never launch on Friday afternoons
  • If rollback takes more than 5 minutes, add more testing time
  • Every item must be verifiable. "Done" means someone can confirm it, not just feel it.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.