Content
92%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body: executable commands, an explicit measure-optimize-validate workflow with a revert loop, and clean one-level-deep references. Only minor conciseness trimming would improve it.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean overview with density-optimized tables and no padding of concepts Claude already knows; a few guardrail/prose sentences could be tightened further, keeping it just below the leanest anchor. | 4 / 5 |
Actionability | Provides copy-paste-ready executable bash (the agent-device react-devtools profiling flow and react-native bundle + source-map-explorer) and version-gated concrete fixes ("FlashList v2 deprecates estimatedItemSize", "RN 0.78 and earlier, disable Android JS bundle compression"). | 5 / 5 |
Workflow Clarity | The Measure→Optimize→Re-measure→Validate cycle has explicit checkpoints and a revert feedback loop ("If metrics did not improve, revert and try the next suggested fix"), with before→after validation metrics. | 5 / 5 |
Progressive Disclosure | SKILL.md is a clear overview pointing to 30 one-level-deep, well-signaled reference files (verified to exist) via tables and link definitions, plus a Problem→Skill mapping that aids navigation. | 5 / 5 |
Total | 19 / 20 Passed |