
Remotion Performance Optimizer
- 134 installs
- 37 repo stars
- Updated February 26, 2026
- ncklrs/startup-os-skills
Cut Remotion render times by profiling compositions and applying prioritized fixes for compute, assets, memoization, and render path.
About
Remotion Performance Optimizer is an agent skill for solo builders who ship programmatic video with Remotion and need renders to finish faster without guessing. Activate it when someone asks to improve performance, speed up renders, or optimize a Remotion video, or when batch exports blow past acceptable duration. The skill performs structured analysis: expensive computations on the render path, unnecessary re-renders, oversized or slow-loading assets, missed memoization opportunities, and architectural improvements to component structure. Supporting rule sections group guidance into optimization categories—computation, assets, memoization strategies, and render optimization—and analysis categories covering profiling, bottleneck detection, benchmark targets, and impact-based priorities. The agent is steered to recommend actionable fixes rather than micro-optimizing cold paths. It fits indie marketing clips, product demos, and content SaaS where Remotion is the render engine. Pair it with your existing composition repo and profiling runs; outputs are recommendations and refactors aligned to documented targets, not automatic cloud scaling.
- Four optimization rule areas: computation, assets, memoization (useMemo/useCallback/memo), and render-path structure
- Four analysis areas: profiling tools, bottleneck detection, benchmark targets, and optimization priorities by impact
- Computation analysis for expensive operations on the render path
- Re-render detection for unnecessary component updates in compositions
- Asset optimization for size, format, and loading in video output
Remotion Performance Optimizer by the numbers
- 134 all-time installs (skills.sh)
- +2 installs in the week ending Jul 26, 2026 (Skillselion tracking)
- Ranked #755 of 1,337 Generative Media skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Jul 31, 2026 (Skillselion catalog sync)
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| Installs | 134 |
|---|---|
| repo stars | ★ 37 |
| Security audit | 3 / 3 scanners passed |
| Last updated | February 26, 2026 |
| Repository | ncklrs/startup-os-skills ↗ |
What it does
Cut Remotion render times by profiling compositions and applying prioritized fixes for compute, assets, memoization, and render path.
Files
Remotion Performance Optimizer
Comprehensive performance analysis and optimization recommendations for Remotion video compositions. Identifies bottlenecks and provides actionable fixes to reduce render times.
What This Skill Does
Performs deep performance analysis:
1. Computation analysis — Identify expensive operations in render path 2. Re-render detection — Find unnecessary component re-renders 3. Asset optimization — Recommend asset size and format improvements 4. Memoization opportunities — Identify cacheable calculations 5. Architecture review — Suggest structural improvements 6. Render profiling — Analyze frame render times
Input/Output Formats
Input Format: Remotion Composition Code
Accepts implemented Remotion composition files:
Files to analyze:
src/remotion/compositions/VideoName/
├── index.tsx # Main composition
├── constants.ts # Color, timing, spring configs
├── types.ts # TypeScript types
└── scenes/
├── Scene1.tsx
├── Scene2.tsx
└── Scene3.tsxContext needed:
- Target render time goals (e.g., < 100ms/frame)
- Composition complexity (simple, moderate, complex)
- Any specific performance concerns
Example request:
Analyze performance of VideoName composition.
Target: < 100ms/frame average render time.
Scene 2 is rendering slowly (200ms/frame).Output Format: OPTIMIZATION_REPORT.md
Generates detailed performance analysis with actionable fixes:
# Performance Optimization Report: [Video Title]
**Date:** 2026-01-23
**Analyzer:** remotion-performance-optimizer
**Composition:** `src/remotion/compositions/VideoName/`
---
## Executive Summary
**Current Performance:** ⚠️ NEEDS OPTIMIZATION
| Metric | Current | Target | Status |
|--------|---------|--------|--------|
| **Average Render Time** | 145ms/frame | < 100ms | 🔴 45% over target |
| **Slowest Scene** | Scene 2: 285ms | < 150ms | 🔴 90% over target |
| **Total Render Time (estimated)** | 36 minutes | < 20 minutes | 🔴 80% over target |
| **Memory Usage** | Normal | Normal | 🟢 Good |
**Potential Improvement:** 60-70% faster render times after implementing recommendations
**Priority Actions:**
1. Replace Math.random() with seeded random in Scene 2 (55% improvement)
2. Optimize large product image (20% faster asset loading)
3. Extract repeated spring calculations (15% improvement)
---
## Performance Breakdown by Scene
| Scene | Avg Render Time | Status | Primary Bottleneck |
|-------|----------------|--------|-------------------|
| Scene 1 | 75ms | 🟢 Good | None |
| Scene 2 | 285ms | 🔴 Critical | Non-deterministic particle system |
| Scene 3 | 95ms | 🟡 Acceptable | Large asset loading |
| Scene 4 | 80ms | 🟢 Good | None |
**Overall:** 145ms average (Target: < 100ms)
---
## Issues Found
### CRITICAL (Major Performance Impact)
#### 1. Non-Deterministic Particle System in Scene 2
**Impact:** 🔴 200ms per frame slowdown
**Location:** `src/remotion/compositions/VideoName/scenes/Scene2.tsx:48-65`
**Severity:** Critical - 70% of render time in Scene 2
**Problem:**// ❌ PROBLEM: Math.random() called 70 times per frame {Array.from({ length: 70 }, (_, i) => { const x = Math.random() width; // Recalculated every frame! const y = Math.random() height; // Non-deterministic const speed = Math.random() * 2;
return <Particle key={i} x={x} y={y} speed={speed} />; })}
**Why This Is Slow:**
- Math.random() is non-deterministic (different each frame)
- 70 particles × 3 random calls = 210 random calls per frame
- Remotion can't cache because values change
- Browser must recalculate positions every frame
**Solution:**// ✅ OPTIMIZED: Seeded random, deterministic const seededRandom = (seed: number): number => { const x = Math.sin(seed) * 10000; return x - Math.floor(x); };
const particles = useMemo( () => Array.from({ length: 70 }, (_, i) => ({ x: seededRandom(i 123.456) width, y: seededRandom(i 789.012) height, speed: seededRandom(i 456.789) 2, })), [width, height] );
{particles.map((p, i) => ( <Particle key={i} x={p.x} y={p.y} speed={p.speed} /> ))}
**Expected Improvement:**
- Scene 2: 285ms → 125ms (55% faster)
- Overall: 145ms → 105ms (28% faster)
- Total render time: 36min → 22min (40% faster)
**Implementation Time:** 15 minutes
---
### HIGH (Significant Performance Impact)
#### 2. Large Unoptimized Product Image
**Impact:** 🟡 50ms asset loading delay
**Location:** `public/images/product.png`
**Severity:** High - Affects loading and memory
**Problem:**Current Asset:
- Format: PNG (unnecessary transparency)
- Resolution: 4000x3000 (2x larger than needed)
- File Size: 8.2MB
- Load Time: ~50ms
**Why This Is Slow:**
- 8.2MB file takes time to load and decode
- 4000x3000 is overkill for 1920x1080 display
- PNG format unnecessary (no transparency used)
**Solution:**Resize and convert to JPEG
magick public/images/product.png \ -resize 1920x1440 \ -quality 90 \ public/images/product.jpg
Update code
<Img src={staticFile('images/product.jpg')} />
**Result:**Optimized Asset:
- Format: JPEG
- Resolution: 1920x1440 (2x for retina)
- File Size: ~400KB (95% smaller)
- Load Time: ~5ms (90% faster)
**Expected Improvement:**
- Scene 3 load time: 50ms faster
- Overall render: 95ms → 85ms in Scene 3
- Smaller final video file
**Implementation Time:** 5 minutes
---
#### 3. Repeated Spring Calculations
**Impact:** 🟡 30ms per scene
**Location:** Multiple scenes
**Severity:** High - Accumulates across scenes
**Problem in Scene 1:**// ❌ PROBLEM: Spring calculated 3 times <div style={{ opacity: spring({ frame, fps, config: SMOOTH }), scale: spring({ frame, fps, config: SMOOTH }), y: interpolate(spring({ frame, fps, config: SMOOTH }), [0, 1], [0, 100]), }} />
**Why This Is Slow:**
- Spring function has internal calculations
- Called 3 times with identical parameters
- Remotion can't optimize duplicate calls
- Wastes 20-30ms per scene
**Solution:**// ✅ OPTIMIZED: Calculate once, reuse const progress = spring({ frame, fps, config: SMOOTH });
<div style={{ opacity: progress, scale: progress, y: interpolate(progress, [0, 1], [0, 100]), }} />
**Expected Improvement:**
- Per scene: 20-30ms faster
- Overall: 145ms → 125ms (15% faster)
- Affects Scenes 1, 3, 4
**Implementation Time:** 10 minutes
---
### MEDIUM (Moderate Performance Impact)
#### 4. Component Not Memoized
**Impact:** 🟡 10-15ms
**Location:** Scene components
**Severity:** Medium - Minor unnecessary re-renders
**Problem:**// Scene components re-render even when props haven't changed function Scene1() { ... } function Scene2() { ... }
**Solution:**import { memo } from 'react';
const Scene1 = memo(() => { ... }); const Scene2 = memo(() => { ... });
**Expected Improvement:**
- 10-15ms per scene
- Overall: 10% faster in complex compositions
**Implementation Time:** 5 minutes
---
### LOW (Minor Performance Impact)
#### 5. Array Creation in Render
**Impact:** 🟢 2-5ms
**Location:** `Scene4.tsx:23`
**Severity:** Low - Negligible but fixable
**Problem:**// Array recreated every frame {Array(50).fill(0).map((_, i) => <Element key={i} />)}
**Solution:**// Reuse array reference const ELEMENTS = Array.from({ length: 50 }, (_, i) => i);
{ELEMENTS.map((i) => <Element key={i} />)}
**Expected Improvement:** 2-5ms (minimal but good practice)
**Implementation Time:** 2 minutes
---
## Optimization Implementation Plan
### Phase 1: Critical Fixes (15 minutes) — 55% improvement
1. Replace Math.random() with seeded random in Scene 2
- Expected: 285ms → 125ms
### Phase 2: High Priority (15 minutes) — 20% additional improvement
1. Optimize product.png to JPEG (5 min)
- Expected: 95ms → 85ms in Scene 3
2. Extract spring calculations (10 min)
- Expected: 145ms → 125ms overall
### Phase 3: Medium Priority (10 minutes) — 10% additional improvement
1. Memoize scene components
- Expected: 10-15ms improvement
### Phase 4: Low Priority (5 minutes) — 2-5% improvement
1. Extract array constants
- Expected: 2-5ms improvement
**Total Implementation Time:** 45 minutes
**Total Expected Improvement:** 60-70% faster renders
---
## Before/After Projections
| Metric | Before | After Phase 1 | After Phase 2 | After All | Target |
|--------|--------|---------------|---------------|-----------|--------|
| Scene 2 | 285ms | 125ms | 115ms | 110ms | < 150ms ✅ |
| Scene 3 | 95ms | 95ms | 85ms | 80ms | < 100ms ✅ |
| Overall Avg | 145ms | 105ms | 90ms | 85ms | < 100ms ✅ |
| Total Render | 36min | 22min | 19min | 18min | < 20min ✅ |
**After all optimizations:** All targets met! 🎉
---
## Performance Validation
### Benchmarking Commands
Test single frame render time
npx remotion still src/index.tsx VideoName --frame=150
Profile specific scene (Scene 2)
npx remotion still src/index.tsx VideoName --frame=225
Benchmark full render (first 100 frames)
time npx remotion render src/index.tsx VideoName test.mp4 --frames=0-100
Full production render with timing
time npx remotion render src/index.tsx VideoName output.mp4
### Performance Targets
| Composition Type | Target | Current | Status |
|-----------------|--------|---------|--------|
| Simple scenes | < 50ms | 75ms (Scenes 1,4) | 🟡 Acceptable |
| Moderate scenes | < 100ms | 145ms avg | 🔴 Over target |
| Complex scenes | < 150ms | 285ms (Scene 2) | 🔴 Over target |
**After optimizations:** All scenes should meet targets
---
## Code Quality Checks
✅ **Good Patterns Found:**
- Constants extracted (COLORS, SPRING_CONFIGS)
- useVideoConfig used for responsive sizing
- TypeScript types defined
- staticFile() used for assets
⚠️ **Optimization Opportunities:**
- [ ] Replace Math.random() with seeded random
- [ ] Extract repeated spring calculations
- [ ] Memoize scene components
- [ ] Optimize large assets
---
## Asset Optimization Details
### Current Assets
| Asset | Size | Format | Status | Recommendation |
|-------|------|--------|--------|----------------|
| logo.png | 180KB | PNG | 🟢 Good | Keep as-is |
| product.png | 8.2MB | PNG | 🔴 Optimize | → JPEG 400KB |
| background.mp3 | 1.8MB | MP3 | 🟢 Good | Keep as-is |
| whoosh.mp3 | 45KB | MP3 | 🟢 Good | Keep as-is |
### Optimization Commands
Product image (95% size reduction)
magick public/images/product.png \ -resize 1920x1440 \ -quality 90 \ public/images/product.jpg
---
## Recommendations Summary
### Immediate Actions (Critical)
1. ✅ **Replace Math.random() in Scene 2** — 55% faster
- Priority: CRITICAL
- Time: 15 minutes
- Impact: 160ms per frame improvement
### Short-Term Actions (High Priority)
1. ✅ **Optimize product image** — 20% faster loading
- Priority: HIGH
- Time: 5 minutes
- Impact: 50ms improvement
2. ✅ **Extract spring calculations** — 15% faster
- Priority: HIGH
- Time: 10 minutes
- Impact: 20-30ms per scene
### Long-Term Improvements (Medium/Low)
1. Memoize scene components (10% improvement)
2. Extract array constants (2-5% improvement)
3. Consider lazy loading assets
4. Profile with Chrome DevTools for deeper analysis
---
## Next Steps
1. **Implement Critical Fix:** Replace Math.random() (highest impact)
2. **Benchmark:** Verify Scene 2 improvement (should be 285ms → 125ms)
3. **Implement High Priority:** Optimize assets and springs
4. **Re-run analysis:** Verify all targets met
5. **Final render:** Generate production video with optimizations
---
## Tools & Resources
### Profiling ToolsRemotion built-in profiling
npx remotion preview --log=verbose
Chrome DevTools profiling
Open preview → DevTools → Performance tab → Record
### Optimization References
- Remotion Performance Docs: https://remotion.dev/docs/performance
- React Profiler: https://react.dev/reference/react/Profiler
- Seeded Random Pattern: See `/remotion-component-builder` skill
---
## Approval
**Status:** ⚠️ OPTIMIZATION REQUIRED BEFORE PRODUCTION
After implementing critical and high-priority fixes, this composition will meet all performance targets and be production-ready.
**Estimated Time to Production-Ready:** 30-45 minutes of optimization work
**Signed:** remotion-performance-optimizer
**Date:** 2026-01-23This document provides:
- Current vs. target performance metrics
- Prioritized issues by impact (CRITICAL, HIGH, MEDIUM, LOW)
- Before/after projections with concrete numbers
- Specific code locations and fixes
- Implementation time estimates
- Step-by-step optimization plan
- Benchmarking commands for validation
- Asset optimization recommendations
Feeds into:
- Developer: Implement fixes
- Re-run
/remotion-video-reviewerafter optimizations - Final production render
Performance Analysis Categories
1. Expensive Computations
Issue: Calculations executed every frame unnecessarily.
Detection:
// ❌ PROBLEM - Recalculated every frame
function Scene() {
const frame = useCurrentFrame();
// Heavy calculation every frame
const particles = Array.from({ length: 1000 }, () => ({
x: Math.random() * 1920,
y: Math.random() * 1080,
}));
return /* render particles */;
}Solution:
// ✓ OPTIMIZED - Deterministic, seeded
function Scene() {
const frame = useCurrentFrame();
// Deterministic calculation
const particles = useMemo(
() => Array.from({ length: 1000 }, (_, i) => ({
x: seededRandom(i * 123) * 1920,
y: seededRandom(i * 456) * 1080,
})),
[] // No dependencies, calculate once
);
return /* render particles */;
}
// Seeded random for consistency
const seededRandom = (seed: number) => {
const x = Math.sin(seed) * 10000;
return x - Math.floor(x);
};Impact: 30-50% render time reduction for scenes with many elements.
2. Repeated Spring Calculations
Issue: Same spring calculation multiple times.
Detection:
// ❌ PROBLEM - Spring calculated 3 times
<div style={{
opacity: spring({ frame, fps, config: SMOOTH }),
scale: spring({ frame, fps, config: SMOOTH }),
y: interpolate(spring({ frame, fps, config: SMOOTH }), [0, 1], [0, 100]),
}} />Solution:
// ✓ OPTIMIZED - Calculate once, reuse
const progress = spring({ frame, fps, config: SMOOTH });
<div style={{
opacity: progress,
scale: progress,
y: interpolate(progress, [0, 1], [0, 100]),
}} />Impact: 10-20% render time reduction per scene.
3. Large Asset Sizes
Issue: Unoptimized assets slow down loading and rendering.
Detection:
Product image: 4000x3000 PNG (8.2MB)
Background video: 3840x2160 ProRes (450MB)
Logo: 2000x2000 PNG (1.5MB)Recommendations:
✓ Product image: 1920x1440 JPEG 90% (400KB) — 95% smaller
✓ Background video: 1920x1080 H.264 (25MB) — 95% smaller
✓ Logo: 800x800 PNG optimized (80KB) — 95% smallerImpact: Faster renders, smaller output files, better preview performance.
4. Unnecessary Re-renders
Issue: Components re-render when dependencies haven't changed.
Detection:
// ❌ PROBLEM - Re-renders on every frame change
function ExpensiveComponent({ data }) {
// Heavy calculation
const processed = data.map(item => /* complex transform */);
return /* render */;
}
// Parent re-renders every frame
<ExpensiveComponent data={staticData} />Solution:
// ✓ OPTIMIZED - Memoized component
const ExpensiveComponent = memo(({ data }) => {
// Heavy calculation
const processed = useMemo(
() => data.map(item => /* complex transform */),
[data]
);
return /* render */;
});
// Or: Extract static data outside component
const processedData = staticData.map(item => /* complex transform */);
function Scene() {
return <Component data={processedData} />;
}Impact: 20-40% render time reduction for complex components.
5. DOM Thrashing
Issue: Excessive DOM reads/writes causing layout thrashing.
Detection:
// ❌ PROBLEM - Reading and writing in loop
elements.forEach((el) => {
const width = el.getBoundingClientRect().width; // Read
el.style.width = `${width * 2}px`; // Write (causes reflow)
});Solution:
// ✓ OPTIMIZED - Batch reads, then batch writes
const widths = elements.map((el) => el.getBoundingClientRect().width);
elements.forEach((el, i) => {
el.style.width = `${widths[i] * 2}px`;
});Impact: 15-30% improvement in DOM-heavy scenes.
6. Unoptimized Loops
Issue: Inefficient iteration patterns.
Detection:
// ❌ PROBLEM - Array creation every frame
{Array(100).fill(0).map((_, i) => (
<Particle key={i} index={i} />
))}Solution:
// ✓ OPTIMIZED - Reuse array reference
const PARTICLES = Array.from({ length: 100 }, (_, i) => i);
{PARTICLES.map((i) => (
<Particle key={i} index={i} />
))}Impact: 5-10% improvement in scenes with many elements.
Performance Optimization Checklist
Computation Optimizations
- [ ] No Math.random() in render (use seeded random)
- [ ] Heavy calculations use useMemo
- [ ] Spring calculations extracted and reused
- [ ] Static data moved outside components
- [ ] Loops use Array.from instead of Array().fill()
Component Optimizations
- [ ] Expensive components wrapped in memo()
- [ ] useMemo for derived state
- [ ] useCallback for event handlers passed to children
- [ ] Components split appropriately (not too large)
Asset Optimizations
- [ ] Images sized to actual display dimensions (2x for retina)
- [ ] JPEG for photos, PNG for transparency, SVG for graphics
- [ ] Videos use H.264 codec with reasonable bitrate
- [ ] Audio files trimmed to exact duration
- [ ] Fonts load only required weights
Render Optimizations
- [ ] Avoid inline object/array creation in JSX
- [ ] Use key prop correctly in lists
- [ ] Minimize div nesting depth
- [ ] Use CSS transforms over position changes
- [ ] AbsoluteFill instead of complex layouts
Architecture Optimizations
- [ ] Extract reusable components
- [ ] Scene components under 200 lines
- [ ] Constants extracted to top of file
- [ ] Utility functions outside components
- [ ] Logical component composition
Performance Benchmarking
Measuring Render Time
# Benchmark a specific frame
npx remotion still src/index.tsx VideoName --frame=100
# Benchmark full render (first 100 frames)
time npx remotion render src/index.tsx VideoName output.mp4 --frames=0-100
# Profile with Chrome DevTools
npx remotion preview
# Open Chrome DevTools → Performance tab → RecordPerformance Targets
| Composition Type | Target Render Time | Notes |
|---|---|---|
| Simple (text, shapes) | < 50ms/frame | Minimal computations |
| Moderate (animations, images) | 50-100ms/frame | Standard videos |
| Complex (particles, 3D) | 100-200ms/frame | Heavy effects |
| Very Complex (thousands of elements) | 200-500ms/frame | Acceptable with optimization |
Red flags:
- Single frame > 500ms → Major optimization needed
- Render time increases over time → Memory leak
Common Bottleneck Patterns
Pattern 1: Particle Explosion
Issue:
// 1000 particles, each calculating independently
{Array(1000).fill(0).map((_, i) => {
const x = Math.random() * width; // Recalculated every frame!
const y = Math.random() * height;
return <Particle key={i} x={x} y={y} />;
})}Fix:
// Deterministic particles, calculated once
const particles = useMemo(
() => Array.from({ length: 1000 }, (_, i) => ({
x: seededRandom(i * 123.456) * width,
y: seededRandom(i * 789.012) * height,
})),
[width, height]
);
{particles.map((p, i) => (
<Particle key={i} x={p.x} y={p.y} />
))}Pattern 2: Text Processing
Issue:
// String operations every frame
const words = text.split(' ');
const processed = words.map(w => w.toUpperCase());Fix:
// Process once outside render
const processedWords = useMemo(
() => text.split(' ').map(w => w.toUpperCase()),
[text]
);Pattern 3: Conditional Rendering
Issue:
// Component always rendered, visibility toggled
<HeavyComponent style={{ opacity: frame > 100 ? 1 : 0 }} />Fix:
// Don't render at all when not visible
{frame > 100 && <HeavyComponent />}Optimization Report Template
## Performance Optimization Report
### Current Performance
- Average render time: 180ms/frame
- Slowest scene: Scene 3 (350ms/frame)
- Total video render time: 45 minutes (estimated)
### Identified Issues
**CRITICAL (Major Impact)**
1. Particle system using Math.random()
- Location: Scene 2, ParticleSystem component
- Impact: +200ms per frame
- Fix: Replace with seeded random
- Estimated improvement: 55% faster
2. 4K product image not optimized
- Location: Scene 4
- Current: 8.2MB PNG
- Impact: Slow loading, memory pressure
- Fix: Resize to 1920x1440, convert to JPEG
- Estimated improvement: 95% smaller file
**HIGH (Significant Impact)**
1. Repeated spring calculations
- Location: Scene 1, Scene 3, Scene 5
- Impact: +50ms per scene
- Fix: Extract to progress variable
- Estimated improvement: 20% faster
**MEDIUM (Moderate Impact)**
1. Components not memoized
- Location: Scene components
- Fix: Wrap in React.memo()
- Estimated improvement: 10% faster
### Optimization Plan
1. Implement seeded random (15 min) — 55% improvement
2. Optimize assets (30 min) — Better loading
3. Extract spring calculations (10 min) — 20% improvement
4. Memoize components (20 min) — 10% improvement
**Expected Result:**
- Render time: 180ms → 80ms per frame (55% faster)
- Total render: 45 min → 20 minIntegration with Other Skills
Works with:
/remotion-video-reviewer— Performance audit during review/remotion-best-practices— Ensures optimized patterns/remotion-spec-translator— Generates optimized code from start
Rules Directory
Detailed optimization guides:
- rules/computation-optimization.md — Optimizing calculations
- rules/asset-optimization.md — Asset size and format
- rules/memoization-strategies.md — When and how to memoize
- rules/render-optimization.md — Render path improvements
---
This skill ensures Remotion videos render as fast as possible while maintaining quality.
Rule Sections
Optimization Categories
- computation-optimization.md — Optimizing expensive calculations and operations
- asset-optimization.md — Asset size, format, and loading optimization
- memoization-strategies.md — When and how to use useMemo, useCallback, memo
- render-optimization.md — Render path and component structure improvements
Analysis and Profiling
- performance-profiling.md — Tools and techniques for measuring performance
- bottleneck-detection.md — Identifying performance bottlenecks
- benchmark-targets.md — Performance targets and acceptable ranges
- optimization-priorities.md — Prioritizing optimization efforts by impact
Related skills
FAQ
Is Remotion Performance Optimizer safe to install?
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