anima-performance-tuning
Optimize Anima code generation performance with caching, parallelism, and output tuning. Use when reducing generation latency, optimizing batch component generation, or improving generated code quality for production use. Trigger: "anima performance", "anima slow", "anima optimization", "anima caching".
What this skill does
# Anima Performance Tuning
## Performance Targets
| Operation | Target | Notes |
|-----------|--------|-------|
| Single component generation | < 10s | Depends on complexity |
| Batch (10 components) | < 2 min | With rate limit delays |
| Cache hit | < 10ms | File-based cache |
| Full design system (50 components) | < 15 min | Sequential with 6s delays |
## Instructions
### Step 1: File-Based Generation Cache
```typescript
// src/performance/cache.ts
import crypto from 'crypto';
import fs from 'fs';
class GenerationCache {
private dir: string;
constructor(cacheDir = '.anima-cache') {
this.dir = cacheDir;
fs.mkdirSync(cacheDir, { recursive: true });
}
private hash(fileKey: string, nodeId: string, settings: any): string {
return crypto.createHash('md5').update(`${fileKey}:${nodeId}:${JSON.stringify(settings)}`).digest('hex');
}
async getOrGenerate(
anima: any,
params: any,
maxAgeMs: number = 3600000, // 1 hour
): Promise<any> {
const key = this.hash(params.fileKey, params.nodesId[0], params.settings);
const path = `${this.dir}/${key}.json`;
if (fs.existsSync(path)) {
const stat = fs.statSync(path);
if (Date.now() - stat.mtimeMs < maxAgeMs) {
return JSON.parse(fs.readFileSync(path, 'utf8'));
}
}
const result = await anima.generateCode(params);
fs.writeFileSync(path, JSON.stringify(result));
return result;
}
clearOlderThan(maxAgeMs: number): number {
let cleared = 0;
for (const file of fs.readdirSync(this.dir)) {
const path = `${this.dir}/${file}`;
if (Date.now() - fs.statSync(path).mtimeMs > maxAgeMs) {
fs.unlinkSync(path);
cleared++;
}
}
return cleared;
}
}
export { GenerationCache };
```
### Step 2: Incremental Generation (Only Changed Components)
```typescript
// src/performance/incremental.ts
// Only regenerate components whose Figma nodes changed
async function getNodeLastModified(fileKey: string, nodeId: string): Promise<string> {
const res = await fetch(
`https://api.figma.com/v1/files/${fileKey}/nodes?ids=${nodeId}`,
{ headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
);
const data = await res.json();
return data.lastModified;
}
async function generateOnlyChanged(
anima: any,
fileKey: string,
nodeIds: string[],
lastModifiedCache: Map<string, string>,
): Promise<string[]> {
const changed: string[] = [];
for (const nodeId of nodeIds) {
const lastMod = await getNodeLastModified(fileKey, nodeId);
if (lastMod !== lastModifiedCache.get(nodeId)) {
changed.push(nodeId);
lastModifiedCache.set(nodeId, lastMod);
}
}
console.log(`${changed.length}/${nodeIds.length} components changed — regenerating`);
return changed;
}
```
### Step 3: Output Size Optimization
```typescript
// src/performance/output-opt.ts
// Post-process generated code for smaller bundle size
function optimizeOutput(content: string): string {
return content
.replace(/\/\*[\s\S]*?\*\//g, '') // Remove block comments
.replace(/^\s*\/\/.*$/gm, '') // Remove line comments
.replace(/\n{3,}/g, '\n\n') // Collapse multiple blank lines
.trim();
}
```
## Output
- File-based generation cache with TTL
- Incremental generation (only changed components)
- Output size optimization via post-processing
## Resources
- [Anima API](https://docs.animaapp.com/docs/anima-api)
- [Figma API Nodes](https://www.figma.com/developers/api#get-file-nodes-endpoint)
## Next Steps
For cost optimization, see `anima-cost-tuning`.
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