production-readiness
Skill0 starsChanged 7 days agoMITView on GitHub
Audit any web application for production launch and runtime readiness. Use when asked for production readiness, deployment hardening, launch audit, runtime health, environment checks, build readiness, logging, monitoring, rollback, backups, database operations, or background job review.
17 other projects use a version of this.
Adopted by
Most recently taken up by
- KbWen/agentic-ostheir own version, first seen Nov 7, 2026
- gilsmt/skillstheir own version, first seen Oct 29, 2026
- Gladiarn/Glad-Personaltheir own version, first seen Oct 25, 2026
- abevz/devops-skillstheir own version, first seen Oct 15, 2026
- trycompai/comptheir own version, first seen Oct 8, 2026
- kleosr/bridletheir own version, first seen Sep 29, 2026
Used with
Projects with it also use observability, testing and 1 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.
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Also in 3 projects that use this
NVIDIASkilltesting
Run Python and Rust tests for physicsnemo-curator using uv + pytest with coverage reporting via pytest-cov, and cargo-nextest for Rust tests. Includes benchmark workflows with pytest-benchmark and criterion.
Also in 4 projects that use this
OpenAISkillsystematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Also in 3 projects that use this
Other versions17 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 17
- trycompai/comp★ 2.1ksame name
- KbWen/agentic-os★ 229same name
- magnus919/agent-skills★ 172same name
- KbWen/agent-virtual-office★ 65same name
- suhailkakar/the-skills★ 26same name
- caiaffa/claude-code-ultimate-engineering-system★ 17same name
- wpank/ai★ 11same name
- dekoza/oh-my-slop★ 4same name
- Gladiarn/Glad-Personal★ 4same name
- gilsmt/skills★ 2same name
7 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 repository174 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
3
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 13
Use this for launch-readiness and runtime-hardening work on any web application.
- Distinctive: line 24
Verify current health: before deeper work:
- Distinctive: line 26
Check recent logs for errors
“Common” is measured: kept by at least 6 in 10 of the 17 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
Production Readiness Audit
Use this for launch-readiness and runtime-hardening work on any web application.
Workflow
- Read existing docs — check for deployment guides, runbooks, environment docs, and past audit notes.
- Check repo structure — identify separate repos, monorepo packages, or service boundaries. Understand the deploy target (Docker, Kubernetes, serverless, PaaS, etc.).
- Inspect runtime config without reading secrets:
- Container/orchestration config (docker-compose, Dockerfile, k8s manifests)
- Backend entry point and startup scripts
- Backend settings/config (environment-based switching between dev/prod)
- Frontend build config and environment variables
- Verify current health before deeper work:
- Are all services running?
- Check recent logs for errors
- Hit health endpoints if available
- Run through the checklist categories below.
- Report blockers first, then risks, then cleanup.
Checklist Categories
Runtime Health
- All services start and respond (frontend, backend, database, cache, workers)
- Health check endpoints exist and return meaningful status
- Graceful shutdown handles in-flight requests
- Restart policies configured for crash recovery
Environment and Secrets
- Production environment flag is set (not running in dev mode)
- All required environment variables are documented
- Secrets are not hardcoded or committed to source control
- Sensitive config differs between environments (DB URLs, API keys, domains)
Security Configuration
- Debug mode disabled in production
- HTTPS enforced (HSTS headers, secure cookies, redirect HTTP → HTTPS)
- CORS restricted to known origins
- Content Security Policy headers set
- Cookie flags correct (httpOnly, secure, sameSite)
- Admin/internal endpoints not publicly accessible
Database and Migrations
- All migrations applied and tested for safety (no data loss, no long locks)
- Indexes exist for frequently filtered/sorted columns
- Connection pooling configured
- Backup strategy documented and tested
- Rollback procedure for failed migrations documented
Observability and Operations
- Application logging configured (not just print statements)
- Error reporting/alerting set up (Sentry, Datadog, etc.)
- Key metrics monitored (response times, error rates, queue depth)
- Log rotation or external log shipping configured
- Rollback/deploy procedure documented
Background Jobs (if applicable)
- Job scheduler configured with correct timezone
- Tasks have timeouts, retries, and dead-letter handling
- Idempotency ensured for retried tasks
- Duplicate scheduling prevented (beat lock or equivalent)
Frontend Release Gates
- Type-check passes (
tsc --noEmitor equivalent) - Lint passes
- Production build succeeds
- Bundle size within acceptable limits
- No development-only code in production bundle
Backend Release Gates
- Framework deploy/production checks pass
- Lint and format checks pass
- Test suite passes (or known failures documented)
- No pending migrations
- Dependency audit shows no critical vulnerabilities
Output
Group findings as:
| Severity | Meaning |
| Blocker | Prevents reliable verification or safe launch |
| High | Production security, data, or runtime risk |
| Medium | Operational weakness or scaling risk |
| Low | Documentation or polish gap |
Each finding needs: files/config involved, what's wrong, concrete fix, and verification step.
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- It worked
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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
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