bundle-optimization
Bundle analysis, code splitting, tree shaking, and size optimization.
Best use case
bundle-optimization is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Bundle analysis, code splitting, tree shaking, and size optimization.
Teams using bundle-optimization should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/bundle-optimization/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How bundle-optimization Compares
| Feature / Agent | bundle-optimization | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Bundle analysis, code splitting, tree shaking, and size optimization.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Bundle Optimization Skill
Expert assistance for JavaScript bundle optimization.
## Capabilities
- Analyze bundle size
- Implement code splitting
- Configure tree shaking
- Optimize dependencies
- Set up lazy loading
## Analysis
```bash
# webpack-bundle-analyzer
npx webpack-bundle-analyzer stats.json
# source-map-explorer
npx source-map-explorer dist/*.js
```
## Code Splitting
```typescript
// Route-based splitting
const Dashboard = lazy(() => import('./pages/Dashboard'));
// Library splitting
const { Chart } = await import('chart.js');
```
## Target Processes
- bundle-optimization
- performance-improvement
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