{"slug":"addyosmani-performance-optimization","name":"performance-optimization","description":"Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.","long_description":"---\nname: performance-optimization\ndescription: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.\n---\n\n# Performance Optimization\n\n## Overview\n\nMeasure before optimizing. Performance work without measurement is guessing — and guessing leads to premature optimization that adds complexity without improving what matters. Profile first, identify the actual bottleneck, fix it, measure again. Optimize only what measurements prove matters.\n\n## When to Use\n\n- Performance requirements exist in the spec (load time budgets, response time SLAs)\n- Users or monitoring report slow behavior\n- Core Web Vitals scores are below thresholds\n- You suspect a change introduced a regression\n- Building features that handle large datasets or high traffic\n\n**When NOT to use:** Don't optimize before you have evidence of a problem. Premature optimization adds complexity that costs more than the performance it gains.\n\n## Core Web Vitals Targets\n\n| Metric | Good | Needs Improvement | Poor |\n|--------|------|-------------------|------|\n| **LCP** (Largest Contentful Paint) | ≤ 2.5s | ≤ 4.0s | > 4.0s |\n| **INP** (Interaction to Next Paint) | ≤ 200ms | ≤ 500ms | > 500ms |\n| **CLS** (Cumulative Layout Shift) | ≤ 0.1 | ≤ 0.25 | > 0.25 |\n\n## The Optimization Workflow\n\n```\n1. MEASURE  → Establish baseline with real data\n2. IDENTIFY → Find the actual bottleneck (not assumed)\n3. FIX      → Address the specific bottleneck\n4. VERIFY   → Measure again; keep or revert\n5. GUARD    → Add monitoring or tests to prevent regression\n```\n\n### Step 1: Measure\n\nTwo complementary approaches — use both:\n\n- **Synthetic (Lighthouse, DevTools Performance tab):** Controlled conditions, reproducible. Best for CI regression detection and isolating specific issues.\n- **RUM (web-vitals library, CrUX):** Real user data in real conditions. Required to validate that a fix actually improved user experience.\n\n**Frontend:**\n```bash\n# Synthetic: Lighthouse in Chrome DevTools (or CI)\n# Chrome DevTools → Performance tab → Record\n# Chrome DevTools MCP → Performance trace\n\n# RUM: Web Vitals library in code\nimport { onLCP, onINP, onCLS } from 'web-vitals';\n\nonLCP(console.log);\nonINP(console.log);\nonCLS(console.log);\n```\n\n**Backend:**\n```bash\n# Response time logging\n# Application Performance Monitoring (APM)\n# Database query logging with timing\n\n# Simple timing\nconsole.time('db-query');\nconst result = await db.query(...);\nconsole.timeEnd('db-query');\n```\n\n### Where to Start Measuring\n\nUse the symptom to decide what to measure first:\n\n```\nWhat is slow?\n├── First page load\n│   ├── Large bundle? --> Measure bundle size, check code splitting\n│   ├── Slow server response? --> Measure TTFB in DevTools Network waterfall\n│   │   ├── DNS long? --> Add dns-prefetch / preconnect for known origins\n│   │   ├── TCP/TLS long? --> Enable HTTP/2, check edge deployment, keep-alive\n│   │   └── Waiting (server) long? --> Profile backend, check queries and caching\n│   └── Render-blocking resources? --> Check network waterfall for CSS/JS blocking\n├── Interaction feels sluggish\n│   ├── UI freezes on click? --> Profile main thread, look for long tasks (>50ms)\n│   ├── Form input lag? --> Check re-renders, controlled component overhead\n│   └── Animation jank? --> Check layout thrashing, forced reflows\n├── Page after navigation\n│   ├── Data loading? --> Measure API response times, check for waterfalls\n│   └── Client rendering? --> Profile component render time, check for N+1 fetches\n└── Backend / API\n    ├── Single endpoint slow? --> Profile database queries, check indexes\n    ├── All endpoints slow? --> Check connection pool, memory, CPU\n    └── Intermittent slowness? --> Check for lock contention, GC pauses, external deps\n```\n\n### Step 2: Identify the Bottleneck\n\nCommon bottlenecks by category:\n\n**Frontend:**\n\n| Symptom | Likely Cause | Investigation |\n|---------|-------------|---------------|\n| Slow LCP | Large images, render-blocking resources, slow server | Check network waterfall, image sizes |\n| High CLS | Images without dimensions, late-loading content, font shifts | Check layout shift attribution |\n| Poor INP | Heavy JavaScript on main thread, large DOM updates | Check long tasks in Performance trace |\n| Slow initial load | Large bundle, many network requests | Check bundle size, code splitting |\n\n**Backend:**\n\n| Symptom | Likely Cause | Investigation |\n|---------|-------------|---------------|\n| Slow API responses | N+1 queries, missing indexes, unoptimized queries | Check database query log |\n| Memory growth | Leaked references, unbounded caches, large payloads | Heap snapshot analysis |\n| CPU spikes | Synchronous heavy computation, regex backtracking | CPU profiling |\n| High latency | Missing caching, redundant computation, network hops | Trace requests through the stack |\n\n### Step 3: Fix Common Anti-Patterns\n\n#### N+1 Queries (Backend)\n\n```typescript\n// BAD: N+1 — one query per task for the owner\nconst tasks = await db.tasks.findMany();\nfor (const task of tasks) {\n  task.owner = await db.users.findUnique({ where: { id: task.ownerId } });\n}\n\n// GOOD: Single query with join/include\nconst tasks = await db.tasks.findMany({\n  include: { owner: true },\n});\n```\n\n#### Unbounded Data Fetching\n\n```typescript\n// BAD: Fetching all records\nconst allTasks = await db.tasks.findMany();\n\n// GOOD: Paginated with limits\nconst tasks = await db.tasks.findMany({\n  take: 20,\n  skip: (page - 1) * 20,\n  orderBy: { createdAt: 'desc' },\n});\n```\n\n#### Queries That Ignore Their Index\n\n\"Add an index\" is the guess. The query plan is the measurement:\n\n```sql\nEXPLAIN ANALYZE\nSELECT id, title FROM tasks\nWHERE owner_id = 42 ORDER BY created_at DESC LIMIT 20;\n```\n\nThree things in the output decide the fix:\n\n| What you see | What it means |\n|---|---|\n| `Seq Scan` on a large table where you expected an index | No usable index for this predicate |\n| Estimated `rows=` off from actual by an order of magnitude | Stale statistics; the planner is choosing on bad information |\n| A `Sort` node above the scan | The index covers the filter but not the `ORDER BY` |\n\nIndex for the **shape of the query**, not the column in isolation. In a composite index, equality columns come first, then the range or sort column:\n\n```sql\nCREATE INDEX idx_tasks_owner_created ON tasks (owner_id, created_at DESC);\n```\n\n**When an index will not help:**\n\n| Situation | Why |\n|---|---|\n| Low selectivity, querying the dominant value (a `status` column that is 95% `active`, filtered on `active`) | A sequential scan is genuinely cheaper; the planner will ignore the index. Filtering on the rare value is the opposite case, and a partial index serves it well |\n| Leading wildcard (`LIKE '%term'`) | A B-tree cannot seek without a prefix; needs trigram or full-text |\n| Function on the column (`WHERE lower(email) = ?`) | The plain column index is unusable; index the expression instead |\n| Write-heavy table | Every index is a tax on every `INSERT`/`UPDATE`; measure the write cost, not just the read gain |\n\nRe-run `EXPLAIN ANALYZE` after. An index that did not change the plan is a revert (Step 4), and it is not free: it still costs on every write.\n\n#### Connection Pool Exhaustion\n\nThe signature is distinctive: **every** endpoint slows at once, the slow time is spent waiting for a connection rather than executing, and the database reports mostly idle sessions.\n\n```typescript\n// BAD: a pool per request or per module — under serverless this multiplies\n// by instance count and exhausts the database's connection limit\n// GOOD: one pool per process, sized against the database's ceiling\nconst pool = new Pool({\n  max: 10,                        // instances × max must stay under max_connections\n  idleTimeoutMillis: 30_000,\n  connectionTimeoutMillis: 5_000, // fail fast instead of queueing forever\n});\n```\n\n**Bigger is not faster.** A pool larger than what the database can execute concurrently just relocates the queue from your app to the database, where it is harder to see. When instance count is unbounded (serverless, autoscaling), a proxy that multiplexes connections (pgbouncer, RDS Proxy) is the fix, not a higher `max`.\n\n#### Missing Image Optimization (Frontend)\n\n```html\n<!-- BAD: No dimensions, no format optimization -->\n<img src=\"/hero.jpg\" />\n\n<!-- GOOD: Hero / LCP image — art direction + resolution switching, high priority -->\n<!--\n  Two techniques combined:\n  - Art direction (media): different crop/composition per breakpoint\n  - Resolution switching (srcset + sizes): right file size per screen density\n-->\n<picture>\n  <!-- Mobile: portrait crop (8:10) -->\n  <source\n    media=\"(max-width: 767px)\"\n    srcset=\"/hero-mobile-400.avif 400w, /hero-mobile-800.avif 800w\"\n    sizes=\"100vw\"\n    width=\"800\"\n    height=\"1000\"\n    type=\"image/avif\"\n  />\n  <source\n    media=\"(max-width: 767px)\"\n    srcset=\"/hero-mobile-400.webp 400w, /hero-mobile-800.webp 800w\"\n    sizes=\"100vw\"\n    width=\"800\"\n    height=\"1000\"\n    type=\"image/webp\"\n  />\n  <!-- Desktop: landscape crop (2:1) -->\n  <source\n    srcset=\"/hero-800.avif 800w, /hero-1200.avif 1200w, /hero-1600.avif 1600w\"\n    sizes=\"(max-width: 1200px) 100vw, 1200px\"\n    width=\"1200\"\n    height=\"600\"\n    type=\"image/avif\"\n  />\n  <source\n    srcset=\"/hero-800.webp 800w, /hero-1200.webp 1200w, /hero-1600.webp 1600w\"\n    sizes=\"(max-width: 1200px) 100vw, 1200px\"\n    width=\"1200\"\n    height=\"600\"\n    type=\"image/webp\"\n  />\n  <img\n    src=\"/hero-desktop.jpg\"\n    width=\"1200\"\n    height=\"600\"\n    fetchpriority=\"high\"\n    alt=\"Hero image description\"\n  />\n</picture>\n\n<!-- GOOD: Below-the-fold image — lazy loaded + async decoding -->\n<img\n  src=\"/content.webp\"\n  width=\"800\"\n  height=\"400\"\n  loading=\"lazy\"\n  decoding=\"async\"\n  alt=\"Content image description\"\n/>\n```\n\n#### Unnecessary Re-renders (React)\n\n```tsx\n// BAD: Creates new object on every render, causing children to re-render\nfunction TaskList() {\n  return <TaskFilters options={{ sortBy: 'date', order: 'desc' }} />;\n}\n\n// GOOD: Stable reference\nconst DEFAULT_OPTIONS = { sortBy: 'date', order: 'desc' } as const;\nfunction TaskList() {\n  return <TaskFilters options={DEFAULT_OPTIONS} />;\n}\n\n// Use React.memo for expensive components\nconst TaskItem = React.memo(function TaskItem({ task }: Props) {\n  return <div>{/* expensive render */}</div>;\n});\n\n// Use useMemo for expensive computations\nfunction TaskStats({ tasks }: Props) {\n  const stats = useMemo(() => calculateStats(tasks), [tasks]);\n  return <div>{stats.completed} / {stats.total}</div>;\n}\n```\n\n#### Large Bundle Size\n\n```typescript\n// Modern bundlers (Vite, webpack 5+) handle named imports with tree-shaking automatically,\n// provided the dependency ships ESM and is marked `sideEffects: false` in package.json.\n// Profile before changing import styles — the real gains come from splitting and lazy loading.\n\n// GOOD: Dynamic import for heavy, rarely-used features\nconst ChartLibrary = lazy(() => import('./ChartLibrary'));\n\n// GOOD: Route-level code splitting wrapped in Suspense\nconst SettingsPage = lazy(() => import('./pages/Settings'));\n\nfunction App() {\n  return (\n    <Suspense fallback={<Spinner />}>\n      <SettingsPage />\n    </Suspense>\n  );\n}\n```\n\n#### Missing Caching (Backend)\n\nCache what is expensive to produce and read far more often than it changes. Caching a query that was already fast adds a network hop, a staleness bug, and an eviction policy to maintain, in exchange for nothing.\n\n**Pick the layer deliberately:**\n\n| Layer | Visible to | Use when | Cost |\n|---|---|---|---|\n| In-process (`Map`, LRU) | One instance | Small, hot, per-instance staleness is acceptable | Each instance drifts independently; invalidation reaches only one |\n| Shared (Redis, Memcached) | All instances | Instances must agree, or the value is expensive to recompute | A network hop, and another serv","tagline":"Optimizes application performance across frontend, backend, queries, and databases. 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require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add addyosmani/agent-skills --skill performance-optimization","trust_score":73,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":81,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":81,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"91K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"91K stars, 9.8K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"8d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":56,"weight":0.12,"status":"warn","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add addyosmani/agent-skills --skill performance-optimization"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":36,"weight":0.07,"status":"fail","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"91K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"91K stars, 9.8K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"8d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add addyosmani/agent-skills --skill performance-optimization"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"1 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"],"evidence":{"stars":"91K GitHub stars","repoActivity":"91K stars, 9.8K forks","lastPushed":"8d since push","license":"MIT","repository":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization","install":"npx skills add addyosmani/agent-skills --skill performance-optimization","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add addyosmani/agent-skills --skill performance-optimization","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","8d since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":52,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","52/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Dependency or permission surface needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","52/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":80,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: shell or command execution, filesystem or document access","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: shell or command execution, filesystem or document access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","High-risk permission hints: Shell or command execution","Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate performance-optimization before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add addyosmani/agent-skills --skill performance-optimization"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add addyosmani/agent-skills --skill performance-optimization"]},{"id":"trust_score","label":"Trust score","status":"warn","score":81,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","91K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":88,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":52,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"8d since push","evidence":["8d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":36,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Browser automation: medium","Network access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/addyosmani-performance-optimization/evals","api":"/api/agent/evals?slug=addyosmani-performance-optimization","text":"/api/agent/evals?slug=addyosmani-performance-optimization&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"addyosmani-performance-optimization","name":"performance-optimization","description":"Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.","category":"research","url":"https://www.openagentskill.com/skills/addyosmani-performance-optimization","repository":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization","github_repo":"addyosmani/agent-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add addyosmani/agent-skills --skill performance-optimization","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add addyosmani-performance-optimization"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"performance-optimization\" agent skill from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"performance-optimization\" as a Claude Code skill from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"performance-optimization\" from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/addyosmani-performance-optimization/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/addyosmani-performance-optimization"},"trust":{"score":81,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"91K GitHub stars","repoActivity":"91K stars, 9.8K forks","lastPushed":"8d since push","license":"MIT","repository":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization","install":"npx skills add addyosmani/agent-skills --skill performance-optimization","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":88,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":95,"label":"Excellent"},"supply":{"track":"Coding and developer agents","scenario":"Coding agents","maintenance":"8d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","High-risk permission hints: Shell or command execution","Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision."],"agent_contract":{"task_input":"Use performance-optimization in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 81/100 Strong shortlist","Audit: 88/100 Needs review","Safety: 52/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"addyosmani-performance-optimization (performance-optimization)","install_command":"npx skills add addyosmani/agent-skills --skill performance-optimization","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"addyosmani-performance-optimization","task":"Use performance-optimization in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/addyosmani-performance-optimization","api":"https://www.openagentskill.com/api/agent/skills/addyosmani-performance-optimization","audit":"https://www.openagentskill.com/skills/addyosmani-performance-optimization/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=addyosmani-performance-optimization&task=Use%20performance-optimization%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20performance-optimization%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20performance-optimization%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/addyosmani-performance-optimization/install","manifest":"https://www.openagentskill.com/api/registry/manifest/addyosmani-performance-optimization"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"addyosmani-performance-optimization","name":"performance-optimization","description":"Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.","category":"research","url":"https://www.openagentskill.com/skills/addyosmani-performance-optimization","repository":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization","github_repo":"addyosmani/agent-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add addyosmani/agent-skills --skill performance-optimization","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add addyosmani-performance-optimization"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"performance-optimization\" agent skill from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"performance-optimization\" as a Claude Code skill from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"performance-optimization\" from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/addyosmani-performance-optimization/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/addyosmani-performance-optimization"},"trust":{"score":81,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"91K GitHub stars","repoActivity":"91K stars, 9.8K forks","lastPushed":"8d since push","license":"MIT","repository":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization","install":"npx skills add addyosmani/agent-skills --skill performance-optimization","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":88,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":95,"label":"Excellent"},"supply":{"track":"Coding and developer agents","scenario":"Coding agents","maintenance":"8d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","High-risk permission hints: Shell or command execution","Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision."],"agent_contract":{"task_input":"Use performance-optimization in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 81/100 Strong shortlist","Audit: 88/100 Needs review","Safety: 52/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"addyosmani-performance-optimization (performance-optimization)","install_command":"npx skills add addyosmani/agent-skills --skill performance-optimization","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"addyosmani-performance-optimization","task":"Use performance-optimization in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/addyosmani-performance-optimization","api":"https://www.openagentskill.com/api/agent/skills/addyosmani-performance-optimization","audit":"https://www.openagentskill.com/skills/addyosmani-performance-optimization/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=addyosmani-performance-optimization&task=Use%20performance-optimization%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20performance-optimization%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20performance-optimization%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/addyosmani-performance-optimization/install","manifest":"https://www.openagentskill.com/api/registry/manifest/addyosmani-performance-optimization"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"Coding agents","description":"I need a coding agent that can understand a repository, edit code, and review pull requests.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add addyosmani/agent-skills --skill performance-optimization","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":91373,"starsLabel":"91K","forks":9758,"license":"MIT","qualityScore":95,"trustScore":81,"auditScore":88},"maintenance":{"status":"fresh","label":"8d since push","daysSincePush":8,"lastPushedAt":"2026-08-28T23:31:50+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access"]},"coverageTags":["Coding","Coding agents","research","agent-skill"]},"audit":{"audit_score":88,"risk_level":"needs_review","risk_label":"Needs review","quality_score":95,"trust_score":81,"maintenance_score":100,"security_score":79,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Permission surface needs review: shell or command execution, filesystem or document access","Dependency/runtime risk: command execution surface, network or browser surface","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":34.73,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add addyosmani/agent-skills --skill performance-optimization","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add addyosmani-performance-optimization","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"performance-optimization\" agent skill from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"performance-optimization\" as a Claude Code skill from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"performance-optimization\" from https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"addyosmani-performance-optimization\",\"task\":\"Install performance-optimization\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization","github_repo":"addyosmani/agent-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/addyosmani-performance-optimization","repository":"https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization","api":"/api/agent/skills/addyosmani-performance-optimization","install_api":"/api/skills/addyosmani-performance-optimization/install"},"meta":{"created_at":"2026-09-01T14:40:50.796925+00:00","updated_at":"2026-09-01T14:40:50.935812+00:00","agent_friendly":true}}