react-native-best-practices
Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.
93
92%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Failed to scan
The risk profile of this skill
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that clearly defines its scope (React Native performance optimization), lists specific concrete capabilities and metrics, and provides explicit trigger conditions via the 'Applies to' clause. The rich set of domain-specific keywords ensures accurate skill selection with minimal conflict risk.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions and areas: FPS, TTI, bundle size, memory leaks, re-renders, animations, Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, debugging jank and frame drops. | 3 / 3 |
Completeness | Clearly answers both 'what' (provides React Native performance optimization guidelines for specific metrics) and 'when' (applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops). The 'Applies to' clause serves as an explicit trigger guidance. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms a developer would use: 'React Native', 'FPS', 'TTI', 'bundle size', 'memory leaks', 're-renders', 'animations', 'Hermes', 'JS thread blocking', 'bridge overhead', 'FlashList', 'jank', 'frame drops'. These are highly specific and natural keywords. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche targeting React Native performance specifically, with very specific trigger terms like 'Hermes', 'FlashList', 'bridge overhead', 'jank', and 'frame drops' that are unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill that excels at progressive disclosure and workflow clarity, serving as an effective hub document for React Native performance optimization. The actionability is strong with executable commands and concrete metrics. The main weakness is moderate verbosity—some sections like 'Skill Format', 'Security Notes', and 'When to Apply' could be trimmed without losing value, though the overall token cost is reasonable given the breadth of the topic.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is generally well-organized but includes some unnecessary sections like 'Skill Format' explaining the reference file structure, and the 'Security Notes' section feels somewhat boilerplate. The overview and 'When to Apply' sections add modest value but could be tighter. The extensive reference tables are useful for navigation but contribute to length. | 2 / 3 |
Actionability | Provides executable shell commands for bundle analysis and profiling, concrete fix lists per category, and a clear problem-to-skill mapping table. The bundle size section includes a full measure-optimize-remeasure workflow with specific commands and expected output examples. | 3 / 3 |
Workflow Clarity | The 'Measure → Optimize → Re-measure → Validate' cycle is explicitly stated with concrete examples (e.g., 'FPS 45→60, TTI 3.2s→1.8s'). The bundle size section demonstrates a full feedback loop with before/after verification. The revert-if-no-improvement instruction is a clear error recovery step. Review guardrails add important validation constraints. | 3 / 3 |
Progressive Disclosure | Excellent progressive disclosure: the SKILL.md serves as a concise overview with quick-reference patterns, then clearly links to 29 categorized reference files organized in well-structured tables. References are one level deep, clearly signaled with impact ratings, and the problem→skill mapping provides intuitive navigation paths. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata.version' is missing | Warning |
Total | 10 / 11 Passed | |
- Repository
- callstackincubator/agent-skills
- Commit
ace14e4
- Reviewed
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