performance-profiling

performance-profiling is a skill for Claude Code from curiositech/some_claude_skills. It costs 124 tokens per session (3,985 once invoked), scanned A, original, MIT.

A guide to finding why an application is slow by measuring its CPU use, memory, rendering, event loop, and database queries. It covers Node.js, browsers, React, and query analysis with tools such as flame graphs, heap snapshots, and EXPLAIN ANALYZE.

In plain words
What is it for?
Use it to profile Node.js and React applications, investigate memory growth, inspect browser performance and Core Web Vitals, measure event-loop latency, read flame graphs, and analyse database queries.
Why use it?
It replaces guesswork with evidence about where time or memory is being spent. This helps identify hot code paths, memory leaks, slow rendering, long browser tasks, and expensive queries before changing code.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is 0x -- node src/index.js.

Good fit Use it to profile Node.js and React applications, investigate memory growth, inspect browser performance and Core Web Vitals, measure event-loop latency, read flame graphs, and analyse database queries.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/curiositech/some_claude_skills
agentmods
npx agentmods add skills/curiositech/some_claude_skills/performance-profiling

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for performance-profiling

README.md
[![agentmods](https://agentmods.dev/badge/skills/curiositech/some_claude_skills/performance-profiling.svg)](https://agentmods.dev/skills/curiositech/some_claude_skills/performance-profiling)
Your own site
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/performance-profiling"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/performance-profiling.svg" alt="Measured on agentmods" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,985 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00124 $0.03985
Opus 5 $0.00062 $0.01992
Sonnet 5 $0.00025 $0.00797
Haiku 4.5 $0.00012 $0.00398

Measured 4d ago against content hash 302f595e0b38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

performance-profiling scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/performance-profiling/SKILL.md · 403 lines

How it starts

The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Performance Profiling

Find where your application actually spends time before touching a line of code. Covers the full stack: Node.js CPU and memory profiling, browser flame graphs, React render profiling, and database query analysis. The discipline here is profile first, optimize second — premature optimization is not a workflow, it is a guess.

When to Use

Use for:

  • Diagnosing slow Node.js applications (CPU-bound, I/O-bound, memory pressure)
  • Generating and reading flame graphs to find hot code paths
  • Detecting memory leaks via heap snapshots and growth trends
  • Profiling React component render performance with React Profiler
  • Measuring browser rendering performance (Core Web Vitals, layout thrashing, long tasks)
  • Database query profiling with EXPLAIN ANALYZE
  • Measuring event loop utilization and latency

NOT for:

  • Infrastructure monitoring, distributed tracing, or log aggregation (use logging-observability)
  • Load testing and capacity planning (a separate domain)
  • Network latency analysis between services (use distributed tracing tools)
  • Database schema design optimization (separate from query profiling)

Core Decision: Where Is My App Slow?

flowchart TD
    Start[App is slow. Where?] --> Layer{Which layer?}
    Layer -->|Backend| Backend{What kind?}
    Layer -->|Frontend/browser| Browser{What symptom?}
    Layer -->|Unknown| Measure[Instrument first — add timing logs]

    Backend -->|CPU pegged, slow responses| CPU[CPU Profiling]
    Backend -->|Memory growing, crashes| Mem[Memory / Heap Profiling]
    Backend -->|Fast CPU, slow I/O| IO{I/O type?}
    IO -->|Database queries| DB[EXPLAIN ANALYZE + query profiler]
    IO -->|Network calls| Network[Trace external calls, add timeouts]
    IO -->|File system| FS[Check event loop utilization]

    Browser -->|Slow initial load| Lighthouse[Lighthouse + bundle analysis]
    Browser -->|Janky scrolling, animations| Rendering[Chrome Performance tab — layout thrashing]
    Browser -->|Slow after interaction| React{React app?}
    React -->|Yes| ReactProfiler[React Profiler + why-did-you-render]
    React -->|No| JS[Chrome Performance — long tasks, main thread blocking]

    CPU --> FlameGraph[Generate flame graph with 0x or clinic flame]
    Mem --> HeapSnap[Take heap snapshots before/after suspected leak]
    FS --> ELU[clinic bubbles — event loop utilization]

Read the full file on GitHub · 403 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 403 lines · 124 tokens per session scan A 302f595e0b38

Subscribe to this mod's changes

performance-profiling is a skill published in the GitHub repository curiositech/some_claude_skills (214 stars, last pushed yesterday), licensed MIT. It adds 124 tokens to every session and 3,985 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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