browser-profiling
Skill8 starsChanged 34 days agoNo licenceView on GitHub
Profile Chrome/JavaScript/React apps to diagnose slowness. Covers triage (load vs interaction vs scroll), Playwright-based baseline capture, React Profiler component, Chrome Performance panel interpretation, bundle analysis, memory leak detection, fix verification, and programmatic large-trace analysis via Perfetto's trace_processor (the pprof-equivalent for Chrome traces). Invoke when a browser or React app is noticeably slow and you need to find and fix the bottleneck, or when you have a downloaded `.json`/`.json.gz` Performance-panel trace to analyze.
In this repository280 other files it gives its agents.
- bootstrap/AGENTS.mdAGENTS.md
- .claude/agents.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- .claude/commands/CLAUDE.mdCLAUDE.md
- CLAUDECLAUDE.md
- CLAUDE.mdCLAUDE.md
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “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.
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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.