erne-perf
- Repo stars 36
- License MIT
- Author updated Live
- Author repo everything-react-native-expo
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 94 / 100 · audit passed
- Author / version / license
- @JubaKitiashvili · MIT
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- macOS · Linux · Windows
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Shell exec
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: erne-perf
description: ERNE — Performance profiling and optimization using the performance-profiler agent You are execu…
category: ai
runtime: no special runtime
---
# erne-perf output preview
## PART A: Task fit
- Use case: ERNE — Performance profiling and optimization using the performance-profiler agent You are executing the /erne-perf command. Use the performance-profiler agent to diagnose and fix performance issues. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Diagnostic Areas / 1. Rendering Performance (FPS) / 2. Time to Interactive (TTI)” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “ERNE — Performance profiling and optimization using the performance-profiler agent You are executing the /erne-perf command. Use the performance-profiler agent to diagnose and fix performance issues. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Diagnostic Areas / 1. Rendering Performance (FPS) / 2. Time to Interactive (TTI)” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, run shell commands, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, run shell commands, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/erne-perf`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, run shell commands, write/modify files.
Start with a small task and check whether the result follows “Diagnostic Areas / 1. Rendering Performance (FPS) / 2. Time to Interactive (TTI)”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: erne-perf
description: ERNE — Performance profiling and optimization using the performance-profiler agent You are execu…
category: ai
source: JubaKitiashvili/everything-react-native-expo
---
# erne-perf
## When to use
- ERNE — Performance profiling and optimization using the performance-profiler agent You are executing the /erne-perf co…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Diagnostic Areas / 1. Rendering Performance (FPS) / 2. Time to Interactive (TTI)” and keep inference separate from source facts.
- read files, run shell commands, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "erne-perf" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Diagnostic Areas / 1. Rendering Performance (FPS) / 2. Time to Interactive (TTI)
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, run shell commands, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} /erne-perf — Performance Profiling
You are executing the /erne-perf command. Use the performance-profiler agent to diagnose and fix performance issues.
Diagnostic Areas
1. Rendering Performance (FPS)
- Check for unnecessary re-renders with React DevTools Profiler
- Identify components re-rendering without prop changes
- Look for missing
React.memo,useCallback,useMemo - Detect inline function/object creation in render
2. Time to Interactive (TTI)
- Analyze app startup sequence
- Check for heavy
useEffectchains on mount - Identify blocking operations on main thread
- Verify Hermes bytecode compilation
3. Bundle Size
- Run
npx react-native-bundle-visualizer - Identify large dependencies
- Check for unused imports and dead code
- Verify tree-shaking is working
4. Memory
- Check for listener/subscription cleanup in
useEffect - Identify large objects retained in closures
- Look for image caching issues
- Detect circular references
5. Animations
- Verify all animations use Reanimated (not Animated API)
- Check for JS thread bottlenecks in animation callbacks
- Identify layout thrashing during animations
- Measure actual FPS during animations
6. Hermes Engine
- Verify Hermes is enabled
- Check for unsupported JS features
- Profile with Hermes sampling profiler
- Analyze bytecode compilation output
Output Format
## Performance Metrics
| Metric | Current | Target | Status |
|--------|---------|--------|--------|
| JS FPS | 45 | 60 | ⚠️ |
| UI FPS | 58 | 60 | ✅ |
| TTI | 3.2s | <2s | ❌ |
| Bundle | 8.2MB | <5MB | ❌ |
## Critical Issues
[Issues that must be fixed]
## Optimization Opportunities
[Improvements ranked by impact]
Notes
- If agent-device is available, measure actual FPS on device
- Reference
rules/common/performance.mdfor optimization patterns - Profile on real devices, not simulator/emulator
Decide Fit First
Design Intent
How To Use It
Boundaries And Review