dejavu-perf-loop
dejavu-perf-loop is a Mobile performance & profiling skill for AI agents, published by himattm in the dejavu repository on GitHub. Skillspace rates dejavu-perf-loop D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize a Compose composable's recomposition behavior using Dejavu as a closed-loop validator. Use when the user asks to reduce recompositions, set or tighten a recomposition budget, lock in a recomposition optimization across multiple iterations, fix a recomposition cascade, or apply derivedStateOf / @Immutable / data class fixes iteratively across multiple test runs until the count hits its theoretical floor.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 192
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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