experiment-engine
Otonom deney dongusu. Kod degisikligi yap, olc, karsilastir, kabul et veya geri al. Metrik bazli karar verme ile performans, boyut veya kalite optimizasyonu. Tek basina veya agent ile kullan.
npx skills add vibeeval/vibecosystem --skill experiment-engine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
> **Not / Overlap:** Bu skill `experiment-loop` ile ayni otonom deney dongusu kavramini kapsar (bu dosya TR, experiment-loop EN). Yeni isler icin `experiment-loop` tercih edilir; v4.0 da birlestirilecek. # Experiment Engine Bir hedef belirle, sistematik olarak deneyler yap, sadece iyilestirenleri tut. ## Core Loop ``` HEDEF BELIRLE └─ "API response time'i %20 dusur" └─ "Bundle size'i 500KB'nin altina getir" └─ "Test coverage'i %90'a cikar" BASELINE OLC └─ Mevcut metrigi kaydet (ornek: 340ms, 720KB, %78) DENEY DONGUSU (N kez tekrarla): ┌─────────────────────────────────────┐ │ 1. MODIFY - Tek degisiklik yap │ │ 2. VERIFY - Metrigi olc │ │ 3. COMPARE - Baseline ile kiyasla │ │ 4. DECIDE - Kabul / Reddet │ │ ├─ Iyilesti → COMMIT + yeni │ │ │ baseline │ │ └─ Kotulesti → ROLLBACK │ └─────────────────────────────────────┘ RAPOR OLUSTUR └─ N deney, X kabul, Y red, final metrik ``` ## Kullanim Alanlari ### Performans Optimizasyonu ```bash # Hedef: API response time < 200ms # Baseline: 340ms # Deney 1: Database query'ye index ekle git stash # mevcut durumu kaydet # ... index ekle ... curl -w "%{time_total}" http://localhost:3000/api/users # 280ms # 340ms -> 280ms = IYILESTI → COMMIT # Deney
- Core Loop
- Kullanim Alanlari
- Performans Optimizasyonu
- Bundle Size Azaltma
- Test Coverage Artirma
- Deney Protokolu
- Tek Degisiklik Kurali
- Rollback Stratejisi
- Metrik Toplama
- Deney Sablonu
- Otomatik Deney Modu
- vibecosystem Entegrasyonu
Deney 1: Database query'ye index ekle
git stash # mevcut durumu kaydet
curl -w "%{time_total}" http://localhost:3000/api/users # 280ms
Deney 2: Response'u cache'le
curl -w "%{time_total}" http://localhost:3000/api/users # 45ms
Deney 3: JSON serializer degistir
curl -w "%{time_total}" http://localhost:3000/api/users # 42ms
Baseline olc
Deney dongusu
for exp in "${experiments[@]}"; doWhat does the experiment-engine skill do?
Otonom deney dongusu. Kod degisikligi yap, olc, karsilastir, kabul et veya geri al. Metrik bazli karar verme ile performans, boyut veya kalite optimizasyonu. Tek basina veya agent ile kullan.
How do I install it?
Run `npx skills add vibeeval/vibecosystem --skill experiment-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From vibeeval/vibecosystem, a repository with 521 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.