production-performance-review
Skill3 starsChanged 3 months agoMITView on GitHub
Review and improve production performance and scalability, including slow queries, missing indexes, N+1 patterns, pagination, bundle size, asset optimization, unnecessary API calls, caching, expensive renders, memory leaks, blocking work, and startup costs. Use when preparing a codebase for production speed and scale.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- ArcanEdge-AI/coding-agent-playbook-claude-codeedited, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- ArcanEdge-AI/coding-agent-playbook-claude-code★ 0100% same
Wrote their own version · 0
None found.
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 repository33 other files it gives its agents.
- AGENTS.mdAGENTS.md
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- multi-role-repo-reviewSkill
- multi-session-coordinationSkill
- platform-documentationSkill
- production-api-integrationSkill
- production-architecture-reviewSkill
- production-code-qualitySkill
- production-database-integritySkill
- production-devops-releaseSkill
- production-documentation-onboardingSkill
- production-pass-orchestratorSkill
- production-readiness-reportSkill
- production-reliability-observabilitySkill
- production-security-reviewSkill
- production-testing-qaSkill
- production-ux-accessibilitySkill
- reference-doc-routingSkill
- senior-code-reviewSkill
- session-cleanupSkill
- subagent-orchestrationSkill
- task-graph-orchestrationSkill
- taste-new-websiteSkill
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The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
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 53
When optimization changes are authorized, implement safe in-scope optimizations only.
- Distinctive: line 60
Document larger changes as deferred recommendations.
- Distinctive: line 75
Do not optimize blindly.
- Distinctive: line 76
Do not add caching that risks stale or incorrect data without clear invalidation.
- Distinctive: line 77
Do not introduce new infrastructure unless required.
- Distinctive: line 78
Do not change user-visible behavior for performance unless explicitly justified.
- Distinctive: line 79
Prefer measurable improvements where tooling allows.
- Distinctive: line 80
Do not add complex optimization patterns for minor gains.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Production Performance Review
Core purpose
Identify production performance risks and apply safe optimizations without changing product behavior.
Use this skill when
- The production pass needs performance review.
- The user wants the app checked for production speed or scalability risks.
- The repository has database, API, frontend, asset, or rendering performance concerns.
Do not use this skill when
- The task is only security or documentation.
- The user asks for speculative optimization without evidence.
- Performance cannot be evaluated from available code or commands.
Check for
- Slow or inefficient queries
- Missing database indexes
- N+1 query patterns
- Missing pagination
- Large frontend bundles
- Unoptimized images or assets
- Unnecessary API calls
- Expensive frontend renders
- Avoidable re-renders
- Blocking synchronous work
- Missing caching opportunities
- Memory leaks
- Startup performance issues
- Background job opportunities
- Excessive network payloads
- Inefficient loops in critical paths
Default workflow
Resolve the task mode first: assessment-only work reports findings without source, test, or repository-document edits; authorized remediation applies only in-scope fixes. Release, production, and destructive operations retain their separate authority requirements.
- Identify stack and performance-relevant tooling.
- Inspect data access patterns.
- Inspect API and frontend loading patterns.
- Inspect asset and bundle configuration.
- Identify performance risks in critical user flows.
- Classify findings as Blocker, High, Medium, or Low.
- When optimization changes are authorized, implement safe in-scope optimizations only; otherwise report the evidence and recommendation:
- pagination where obviously needed
- query cleanup
- index recommendations or safe index additions
- asset references
- obvious caching improvements with safe invalidation
- frontend render improvements where clearly justified
- Document larger changes as deferred recommendations.
- Run available validation.
Severity guidance
Classify as Blocker when performance prevents critical production flows from working or risks immediate outage.
Classify as High when performance creates serious production risk under expected usage.
Classify as Medium when performance should be improved soon but is not release-blocking.
Classify as Low for optional optimization opportunities.
Guardrails
- Do not optimize blindly.
- Do not add caching that risks stale or incorrect data without clear invalidation.
- Do not introduce new infrastructure unless required.
- Do not change user-visible behavior for performance unless explicitly justified.
- Prefer measurable improvements where tooling allows.
- Do not add complex optimization patterns for minor gains.
Deliverables
Include the following in the requested assessment response or report. Update repository readiness files only when those artifacts are requested or part of authorized remediation:
- Performance findings
- Safe optimizations applied
- Larger deferred recommendations
- Validation results
- Remaining scalability risks
- Files changed and reasons
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