launch-readiness
Skill0 starsChanged 5 months agoMITView on GitHub
Verifies a change is truly ready to ship — rollout plan, monitoring, rollback, and communication. Use before deploying or releasing to production, cutting a release, or expanding rollout to more users.
13 other projects use a version of this.
Adopted by
Most recently taken up by
- harrison-ming/chuhai-skillstheir own version, first seen Nov 8, 2026
- paureis/pau-skillstheir own version, first seen Nov 8, 2026
- Sach1ng/PM-operating-OStheir own version, first seen Nov 1, 2026
- omdenkar2-ui/all-in-onetheir own version, first seen Nov 1, 2026
- Hyde-and-Larkin/product-marketing-toolkittheir own version, first seen Nov 1, 2026
- leymish01-oss/claude-code-founder-skills-sampletheir own version, first seen Oct 20, 2026
Used with
Projects with it also use experiment-designer and stakeholder-update.
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.
Dokkabei97Skillexperiment-designer
Designs A/B tests and product experiments with hypothesis structuring, sample size calculation, duration estimation, and result interpretation. Unified framework for both product and marketing experiments.
Also in 3 projects that use this
AnthropicSkillstakeholder-update
Generate a stakeholder update tailored to audience and cadence. Use when writing a weekly or monthly status for leadership, announcing a launch, escalating a risk or blocker, or translating the same progress into exec-brief, engineering-detail, or customer-facing versions.
Also in 3 projects that use this
Other versions13 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 13
- pratikshadake/claude-product-management-skills★ 33same name
- RizwanZafaris/product-manager-OS★ 4same name
- Sach1ng/PM-operating-OS★ 3same name
- Hyde-and-Larkin/product-marketing-toolkit★ 2same name
- paureis/pau-skills★ 2same name
- AndyMelnykov/pm-loops★ 1same name
- harrison-ming/chuhai-skills★ 1same name
- ianklassen/ai-pm-system★ 1same name
- janellecipriano/pm-skills★ 1same name
- mikezamayias/agent-skills★ 1same name
3 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository68 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/engineering-skills.mdcCursor rule
- marketing-routerSkill
- accessibilitySkill
- agent-guardrailsSkill
- agent-memorySkill
- agent-verificationSkill
- autonomous-loopsSkill
- browser-checksSkill
- caching-strategySkill
- context-curationSkill
- contract-testingSkill
- data-modelingSkill
- decision-docsSkill
- dependency-hygieneSkill
- design-handoffSkill
- e2e-testingSkill
- experimentationSkill
- fault-recoverySkill
- feature-flagsSkill
- finops-budgetSkill
- git-flowSkill
- hardeningSkill
- i18n-l10nSkill
- idea-shapingSkill
- incident-responseSkill
- incremental-deliverySkill
- interface-designSkill
- launch-campaignSkill
- llm-feature-engineeringSkill
- long-running-agentsSkill
- community-engagementSkill
- content-marketingSkill
- email-nurtureSkill
- growth-strategySkill
- paid-adsSkill
- referral-loopSkill
- seo-growthSkill
- social-distributionSkill
- micro-interactionsSkill
- migration-pathSkill
- mobile-patternsSkill
- observabilitySkill
- orchestrated-deliverySkill
- parallel-subagentsSkill
- perf-budgetSkill
- pipeline-opsSkill
- product-briefSkill
- product-discoverySkill
- product-groomingSkill
- react-patternsSkill
- resilienceSkill
- review-gateSkill
- simplifySkill
- skill-creatorSkill
- skill-harvestSkill
- skill-routerSkill
- source-firstSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 9 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
9
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
- Distinctive: line 23
Before deploying a feature, fix, migration, or config change to production
- Distinctive: line 77
Document dependencies: "API v2 before mobile app 2.1", "migration 0042 before app deploy."
- Distinctive: line 79
Maintenance window: only when unavoidable — document start/end and rollback trigger.
- Distinctive: line 83
Prefer contained exposure over flipping everyone at once:
- Distinctive: line 105
No flag/canary available for high-tier change → smaller audience first (beta group, single tenant) or explicit risk acceptance documented.
- Distinctive: line 123
If migration can't roll back, forward-fix plan is mandatory — not optional hope
- Distinctive: line 125
Document in release notes:
- Distinctive: line 193
Soak period: after 100% — 30–60+ min for high tier.
- Distinctive: line 268
No metrics/alerts on the changed code path before traffic hits it
“Common” is measured: kept by at least 6 in 10 of the 10 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.
Files
Launch Readiness
"Done coding" is not "ready to ship." Before a change reaches users, confirm you can release it safely, see if it breaks, undo it fast, and tell people what changed. The riskier the change, the more this matters — a silent 100% deploy with no rollback is a bet, not a release.
Launch readiness is the go/no-go gate at the Ship phase. It chains verification from Build and Review into production safely — not a substitute for [[browser-checks]], [[review-gate]], or [[pipeline-ops]], but the layer that asks "what happens when this hits real traffic?"
Pairs with [[migration-path]] for deploy order and data rollback limits, [[observability]] for signals before and after, [[git-flow]] for tags and hotfix branches, [[incident-response]] if launch degrades prod, [[hardening]] for security-sensitive launches, and [[decision-docs]] / changelog for communicated changes.
When to Use
- Before deploying a feature, fix, migration, or config change to production
- Expanding rollout — canary → 10% → 50% → 100%
- Cutting a release tag or promoting a build to users
- Anything user-visible, hard to reverse, or on a critical path (auth, payments, checkout)
- Setting up launch conventions for a team
- Go/no-go meeting before a scheduled release window
Light pass for low-risk changes (copy tweak behind flag, internal-only tool). Full pass for data migrations, payment flows, auth, and large audience flips.
Skip only for changes with zero production surface (local tooling) — rare for this skill.
Process
Work in order. Don't deploy until rollback and observability are in place for the risk level.
1. Classify risk — depth of readiness follows risk
| Tier | Examples | Readiness depth |
| Low | Copy, CSS behind flag, internal admin | CI green, quick smoke, owner watching |
| Medium | New UI flow, new API field, perf change | Staging verify, metrics, rollback tested, gradual rollout |
| High | Migration, payments, auth, deletion, scale change | Full checklist, canary, exec comms, soak, on-call engaged |
Under-preparing a high-tier launch causes incidents; over-preparing every typo wastes time — classify first.
2. Confirm it works where it will run
Production differs from your laptop. Before go:
- CI green on the release commit ([[pipeline-ops]])
- Merged PR reviewed ([[review-gate]]); security pass if needed ([[hardening]])
- Staging / preview — same commit or artifact you'll promote, not an older build
- Production-like data where it matters — large accounts, edge locales, legacy rows
- Config & secrets — env vars, feature flags, API keys in target environment (not just code)
- Dependencies — migrations applied, third-party keys live, queues/topics exist
- UI — [[browser-checks]] on staging at prod config; critical paths exercised
Staging passed is necessary, not sufficient — scale, cache, and data shape differ in prod.
3. Plan deploy order — sequence matters
Wrong order breaks deploys mid-flight ([[migration-path]]):
Typical safe order:
1. Expand DB/schema (backward-compatible migration)
2. Deploy backend that tolerates old + new schema
3. Backfill data (batched, monitored) if needed
4. Deploy frontend / enable flag for new behavior
5. Contract phase later — remove old path when usage zeroDocument dependencies: "API v2 before mobile app 2.1", "migration 0042 before app deploy."
Maintenance window only when unavoidable — document start/end and rollback trigger.
4. Plan the rollout — gradual beats instant
Prefer contained exposure over flipping everyone at once:
| Strategy | When | Control |
| Feature flag | New behavior toggleable | Off → internal → % → 100% |
| Canary | Infra supports traffic split | 1% → 5% → 25% → 100% |
| Staged regions | Multi-region deploy | Region A → B → all |
| Dark launch | Code in prod, behavior off | Validate metrics at zero traffic |
| Blue/green | Instant switch with two pools | Switch + rollback = switch back |
Define steps and pauses:
10:00 — deploy build + flag OFF (dark)
10:15 — enable internal dogfood (flag: staff)
11:00 — 5% users, watch 30 min
12:00 — 50% if metrics green
14:00 — 100% or haltWho watches each step — name a person, not "the team."
No flag/canary available for high-tier change → smaller audience first (beta group, single tenant) or explicit risk acceptance documented.
5. Rollback — tested, documented, data-aware
Rollback is not "we'll revert git." Define exact undo for each layer:
| Layer | Rollback action | Data reversible? |
| Feature flag | Turn OFF | Usually yes |
| App deploy | Redeploy previous artifact / revert commit | Code yes |
| Config | Restore previous config version | Usually yes |
| DB migration | Often not trivial — plan expand-contract ([[migration-path]]) | |
| Cache | Purge or TTL wait | May serve stale briefly |
Test rollback before launch in staging:
- Deploy new → verify → rollback → verify old behavior restored
- If migration can't roll back, forward-fix plan is mandatory — not optional hope
Document in release notes:
Rollback: flip `checkout_v2` flag OFF + redeploy v1.4.2 if needed.
Migration 0042 is expand-only — rollback does NOT remove column.6. Observability before launch — not after
You must know if the launch broke something ([[observability]]):
Define healthy for this change:
Checkout v2 launch:
- p95 POST /orders latency < 500ms
- error rate on /orders < 0.5%
- conversion rate within 5% of baseline (business metric)Before go-live:
- Metrics emitted for new code paths — counters, latency histograms
- Dashboard panel or saved query for launch signals
- Alerts on symptom thresholds — error spike, latency SLO, queue depth
- Logs structured with correlation id; no secrets ([[hardening]])
- Trigger test — force an error in staging; confirm alert fires (or would fire)
During launch: same dashboard open; don't discover gaps when users complain.
7. Go / no-go criteria
Explicit hold conditions — anyone can call halt:
GO if:
- CI green, staging sign-off, rollback tested
- On-call aware, dashboard ready
- No open blocker bugs
NO-GO if:
- Unresolved migration risk
- Rollback untested
- Missing alerts on critical path
- Key person unavailable with no backupScheduled release with NO-GO → postpone, don't "YOLO" because the calendar says Tuesday.
8. Communicate — internal and external
| Audience | What | When |
| Engineering / on-call | What's shipping, rollout steps, rollback commands, dashboard link | Before deploy |
| Support / CS | User-visible changes, known issues, macros | Before user exposure |
| Stakeholders | Risk tier, window, success metrics | Before / after go |
| Users | Changelog, in-app notice, status page if risky | When behavior changes |
Launch owner — single name for "is this launch still go?" during the window.
External comms factual — don't promise what isn't shipped yet.
9. Watch through rollout — don't deploy and leave
Active monitoring through each rollout step:
- Error rate, latency, saturation — compare to pre-launch baseline, not zero
- Business metrics lag technical — know the delay (conversion may be T+1h)
- Soak period after 100% — 30–60+ min for high tier; watch for cache refill, retry storms
- Ready to roll back — IC or launch owner can call it ([[incident-response]])
Checklist after each ramp:
5% ramp: errors flat, p95 +12ms (acceptable), proceed
50% ramp: error spike on payment — HALT, flag OFF, incident declared10. Post-launch — close the loop
Within 24–48 hours:
- Metrics vs success criteria — ship decision validated or learnings captured
- Flag cleanup plan — remove old path after stable ([[migration-path]])
- Docs — user docs, API docs, runbook updated ([[decision-docs]])
- Changelog / release notes published
- Retro if launch was rocky — action items tracked ([[incident-response]])
- Remove temporary launch dashboards/alerts or tune thresholds for steady state
Launch isn't done at deploy — it's done when stable and documented.
11. Scenario playbooks
Feature behind flag
Deploy dark → internal ON → staged % → full → remove old path in follow-up PR.
Database migration + code
Expand migration deploy → app deploy (dual-read) → backfill job monitored → later contract migration.
Breaking API change
New version live alongside old → migrate clients → deprecate old with metrics ([[interface-design]], [[migration-path]]).
Payment / checkout change
High tier: canary, payment test cards in prod monitor, rollback = flag + revert, finance notified.
Mobile app + server
Server backward-compatible first → app store release → force-upgrade only if unavoidable.
Config-only change
Diff config in staging → deploy → watch dependency that reads config → rollback = previous config rev.
Hotfix during incident
Branch from prod tag ([[git-flow]]); minimal fix; accelerated launch with single watcher; postmortem after ([[incident-response]]).
Low-risk copy / UI polish
CI + staging smoke + owner watches deploy — skip full canary if tier is low and flag exists.
Common Rationalizations
- "It worked in staging." — Prod data, scale, and config differ; verify and watch real traffic.
- "We can roll back if needed." — Only if rollback exists, is tested, and handles data.
- "Add monitoring after launch." — You're blind exactly when it matters most.
- "Just ship to everyone." — Canary/flag turns outage into a blip.
- "Rollback is redeploy — easy." — Migrations and cache often make it hard; test it.
- "Alerts exist somewhere." — Confirm they fire on this change's failure mode.
- "Support will figure it out." — Brief them before users hit the change.
- "We'll write release notes after." — Notes before launch clarify what you're risking.
- "Go/no-go is bureaucracy." — Five minutes prevents multi-hour incidents.
Red Flags
- Deploy straight to 100% with no flag, canary, or beta cohort (high/medium tier)
- Rollback never tested; migration with no forward-fix plan
- No metrics/alerts on the changed code path before traffic hits it
- Deploy and walk away — nobody watching dashboard during ramp
- Config/secrets differ between staging and prod untracked
- Deploy order wrong — code before backward-compatible migration
- Release notes / support brief missing for user-visible change
- "Healthy" undefined — no way to know if launch succeeded
- Forced deploy because of calendar despite open NO-GO criteria
- Rollback plan is "fix forward" only with no time estimate
- Launch owner unnamed; on-call unaware
- Post-launch flag and dead code never cleaned up
Verification
- Risk tier classified; readiness depth matches
- CI green; staging verified on release artifact; config/secrets confirmed ([[pipeline-ops]], [[browser-checks]])
- Deploy order documented; migrations expand-before-code ([[migration-path]])
- Rollout steps defined — flag/canary/%, pauses, watchers named
- Rollback tested — code, flag, config; data limits documented
- Healthy signals defined; metrics, dashboard, alerts live and tested ([[observability]])
- Go/no-go criteria explicit; launch owner assigned
- Support/stakeholders briefed; changelog/release notes ready ([[decision-docs]])
- Active watch through ramp + soak; halt criteria enforced
- Post-launch: metrics vs success criteria; docs updated; cleanup planned
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
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.

