performance-profiler SKILL.md skillA
performance-profiler from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add borghei/claude-skills/performance-profiler@v1.2.0Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- borghei/claude-skills
- Path
engineering/performance-profiler/SKILL.md- Versions recorded
- 8
- Latest version
- v1.2.0, committed Nov 8, 2026
- First version recorded
- Mar 21, 2026
- Size
- 7,810 bytes
- Repository stars
- 1,075
- License
- a license file GitHub does not identify
Performance profiling for Node.js, Python, and Go: CPU flamegraphs, memory leak detection, bundle analysis, query optimization, and k6 load testing. Use when diagnosing slow endpoints, memory growth, large bundles, or traffic spikes.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Performance Profiler Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU bottlenecks with flamegraphs, detects memory leaks with heap snapshots, analyzes bundle sizes, optimizes database queries, detects N+1 patterns, and runs load tests with k6 and Artillery. Enforces a measure-first methodology: establish baseline, identify bottleneck, fix, and verify improvement. **Golden Rule — Measure First:** Profile → Confirm bottleneck → Fix → Measure again → Verify improvement. Every optimization needs baseline metrics, profiler evidence, the fix, post-fix metrics, and a delta. Full rule in `references/cpu-and-memory-profiling.md`. ## Core Capabilities - **CPU profiling** — Clinic.js/V8 flamegraphs (Node), py-spy/cProfile/scalene (Python), pprof (Go), Chrome DevTools (browser). - **Memory profiling** — heap snapshots and before/after comparison, GC pressure analysis, leak detection, retained object graphs. - **Database optimization** — EXPLAIN ANALYZE plan reading, N+1 detection and batching, slow query logs, missing-index identification, connection pool sizing. …
Read the whole file at its exact version.
How to install
mdr add borghei/claude-skills/performance-profiler@sha256:47b8cd18a3735610The line at the top of this page pins the label v1.2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jx4w5jjvan7jxucs)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 8 versions of this file, between Mar 21, 2026 and Nov 8, 2026, about one every 33 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.2.0 latest | 2026-11-08 | 6ac3bdb | 7,810 B | A | view · diff |
| v1.1.0 | 2026-10-23 | 2b5180a | 7,410 B | A | view · diff |
| v1.1.0 | 2026-10-23 | cd5632b | 7,307 B | A | view · diff |
| v1.1.0 | 2026-06-22 | 65b93aa | 7,209 B | A | view · diff |
| v1.1.0 | 2026-06-17 | 8980a67 | 6,546 B | A | view · diff |
| v1.0.0 | 2026-06-17 | 0c19211 | 18,162 B | A | view · diff |
| v1.0.0 | 2026-03-30 | 6b5a5d8 | 18,278 B | A | view · diff |
| v1.0.0 | 2026-03-21 | deb73d4 | 18,249 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7810 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jx4w5jjvan7jxucs GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/performance-profiler GET https://markdownregistry.com/api/v1/blob/47b8cd18a3735610591a4b71d59036af8b6832a4426368729ddf779c0b058285
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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