Performance Profiler
npx skills add https://github.com/mar-antaya/my-claude-skills --skill performance-profiler
Tier: POWERFUL
Category: Engineering
Domain: Performance Engineering
Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks; generates flamegraphs; analyzes bundle sizes; optimizes database queries; detects memory leaks; and runs load tests with k6 and Artillery. Always measures before and after.
# Analyze a project for performance risk indicators
python3 scripts/performance_profiler.py /path/to/project
# JSON output for CI integration
python3 scripts/performance_profiler.py /path/to/project --json
# Custom large-file threshold
python3 scripts/performance_profiler.py /path/to/project --large-file-threshold-kb 256
# Establish baseline BEFORE any optimization
# Record: P50, P95, P99 latency | RPS | error rate | memory usage
# Wrong: "I think the N+1 query is slow, let me fix it"
# Right: Profile → confirm bottleneck → fix → measure again → verify improvement
→ See references/profiling-recipes.md for details
## Performance Optimization: [What You Fixed]
**Date:** 2026-03-01
**Engineer:** @username
**Ticket:** PROJ-123
### Problem
[1-2 sentences: what was slow, how was it observed]
### Root Cause
[What the profiler revealed]
### Baseline (Before)
| Metric | Value |
|--------|-------|
| P50 latency | 480ms |
| P95 latency | 1,240ms |
| P99 latency | 3,100ms |
| RPS @ 50 VUs | 42 |
| Error rate | 0.8% |
| DB queries/req | 23 (N+1) |
Profiler evidence: [link to flamegraph or screenshot]
### Fix Applied
[What changed — code diff or description]
### After
| Metric | Before | After | Delta |
|--------|--------|-------|-------|
| P50 latency | 480ms | 48ms | -90% |
| P95 latency | 1,240ms | 120ms | -90% |
| P99 latency | 3,100ms | 280ms | -91% |
| RPS @ 50 VUs | 42 | 380 | +804% |
| Error rate | 0.8% | 0% | -100% |
| DB queries/req | 23 | 1 | -96% |
### Verification
Load test run: [link to k6 output]
Database
□ Missing indexes on WHERE/ORDER BY columns
□ N+1 queries (check query count per request)
□ Loading all columns when only 2-3 needed (SELECT *)
□ No LIMIT on unbounded queries
□ Missing connection pool (creating new connection per request)
Node.js
□ Sync I/O (fs.readFileSync) in hot path
□ JSON.parse/stringify of large objects in hot loop
□ Missing caching for expensive computations
□ No compression (gzip/brotli) on responses
□ Dependencies loaded in request handler (move to module level)
Bundle
□ Moment.js → dayjs/date-fns
□ Lodash (full) → lodash/function imports
□ Static imports of heavy components → dynamic imports
□ Images not optimized / not using next/image
□ No code splitting on routes
API
□ No pagination on list endpoints
□ No response caching (Cache-Control headers)
□ Serial awaits that could be parallel (Promise.all)
□ Fetching related data in a loop instead of JOIN
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Take mar-antaya/performance-profiler from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.