profiling-client-performance
profiling-client-performance is a Runtime diagnostics & profiling skill for AI agents, published by TriliumNext in the Trilium repository on GitHub. Skillspace rates profiling-client-performance D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when diagnosing a hard client-side performance problem in Trilium — a stutter while typing, janky dragging, a slow widget, a periodic freeze, "why does this only lag on my real database?". Covers reading a recorded Chrome DevTools trace to find which subsystem is burning the main thread, then the in-app `debug_perf` profiler to measure what a specific operation costs. Includes analyze-trace.mjs; don't write a new trace parser or a throwaway timing harness.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 37,821
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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