performance-optimizer

performance-optimizer is a Backend performance & caching skill for AI agents, published by nguyenthienthanh in the aura-frog repository on GitHub. Skillspace rates performance-optimizer D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Identifies and resolves performance bottlenecks across frontend (Core Web Vitals, code splitting, lazy loading), backend (N+1 queries, async processing), and database (EXPLAIN ANALYZE, indexing strategies) layers. Use when the user reports slow code, latency issues, memory leaks, needs to speed up an application, or wants to benchmark and profile performance.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
24

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubnguyenthienthanh/aura-frog

Our review

Architecture
97 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

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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