argent-react-native-optimization
argent-react-native-optimization is a Mobile performance & profiling skill for AI agents, published by Uniswap in the interface repository on GitHub. Skillspace rates argent-react-native-optimization D (69/100) and it passed the safety scan; a judge model has also reviewed it.
Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 5,521
Placed #4 of 6 in the judged category final for Mobile performance & profiling.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 90 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Performance optimization for React Native apps generally
Judge review
Placed #4 of 6 in the judged category final for Mobile performance & profiling.
- Trigger
88 88 - Instructions
90 90 - Specificity
90 90 - Safety
82 82 - Disclosure
78 78 - Maintenance
85 85
A disciplined four-phase measure-fix-verify pipeline with named tools and a React Compiler-aware caveat against redundant memoization.
Same rigorous measure-fix-verify pipeline as its sibling, but narrower simulator-only wording and no handling for the not_connected edge case.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
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