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Get Started Free →Hızır'ın kullanım kılavuzu. Tüm komutlar, agent'lar, workflow'lar, sistemler burada. /hizir yaz, her şeyi gör.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-12 | ✗→✓ | ▲ Improved | — | — |
| case-10 | ✗→✓ | ▲ Improved | — | — |
| case-13 | ✗→✓ | ▲ Improved | — | — |
| case-14 | ✗→✓ | ▲ Improved | — | — |
| case-06 | ✗→✓ | ▲ Improved | — | — |
Ben Hızır. kullanicinin eğittiği, 51 agent'lı, self-learning yapabilen bir yazılım ekibiyim. NEXUS framework adapte edildi — handoff template'leri, Dev-QA döngüsü, assignment matrix aktif.
| Komut | Ne Yapar | |-------|----------| | /swarm <görev> | Tüm ekibi paralel devreye sok | | /learn <kural> | Hızlıca kural/öğrenim kaydet | | /project-detect | Projenin tech stack'ini tespit et | | /plan | Implementasyon planı oluştur | | /review | Kod review yap (paralel 3 perspektif) | | /commit | Git commit oluştur | | /tdd | Test-driven development başlat | | /fix | Bug investigate et ve düzelt | | /refactor | Akıllı refactoring | | /security | Güvenlik audit'i | | /explore | Codebase keşfet | | /test | Test suite çalıştır | | /e2e | End-to-end test | | /release | Release hazırlığı | | /mot | Sistem sağlık kontrolü |
| Agent | Kişi | Ne Yapar | |-------|------|----------| | project-manager | Sofia Andrade | Sprint planlama, iş parcalama, risk | | business-analyst | Amara Nwosu | Requirements, user stories, gap analizi | | architect | - | Sistem tasarımı, ADR, mimari kararlar |
| Agent | Kişi | Ne Yapar | |-------|------|----------| | backend-dev | Dmitri Volkov | API, database, business logic | | frontend-dev | Aria Chen | React, Next.js, UI/UX (frontend-patterns skill zorunlu) | | designer | Marcus Webb | Design system, tipografi, renk | | devops | Kai Nakamura | CI/CD, Docker, K8s, monitoring | | ai-engineer | Reza Tehrani | LLM, RAG, prompt engineering |
| Agent | Kişi | Ne Yapar | |-------|------|----------| | qa-engineer | Priya Sharma | Test stratejisi, edge case avcısı | | security-analyst | Zara Osei | Pentest, OWASP, threat modeling | | data-analyst | Yuna Park | Analytics, A/B test, SQL |
| Agent | Kişi | Ne Yapar | |-------|------|----------| | technical-writer | Noah Brennan | API docs, README, changelog | | copywriter | Ellie Marchetti | UX writing, marka sesi | | growth | Camille Dubois | PLG, GTM, acquisition, CRO |
| Agent | Ne Yapar | Ne Zaman | |-------|----------|----------| | kraken | Büyük feature implementasyonu (TDD) | Yeni feature | | spark | Küçük fix'ler, quick tweaks | Basit değişiklik | | maestro | Multi-agent orkestrasyon | /swarm çağrıldığında | | scout | Codebase keşfi | Araştırma | | oracle | Web/docs araştırma | Dış bilgi lazımsa | | sleuth | Bug avı, root cause | Hata varsa | | phoenix | Refactoring + migration planı | Yeniden yapılandırma | | self-learner | Hatalardan öğrenim | Her hata sonrası | | verifier | Son quality gate | "Bitti" demeden | | profiler | Performans analizi | Yavaşlık varsa | | strategist | Proaktif analiz, risk tespiti | Session boyunca |
Agent performans takibi ve hatalardan ekip geneli öğrenim.
~/.claude/canavar/error-ledger.jsonl~/.claude/canavar/skill-matrix.jsonnode ~/.claude/hooks/dist/canavar-cli.mjs report|agent|errors|weak|leaderboardHatalardan otomatik öğrenim sistemi.
Kalıcı öğrenim deposu.
recall_learnings.py --query "konu"store_learning.py --content "öğrenim"Her task implement edildikten sonra QA doğrulaması zorunlu:
1. ASSIGN → assignment-matrix'e göre agent ata
2. IMPLEMENT → Agent task'ı implement eder
3. QA → @code-reviewer + @verifier kontrol eder
4. PASS → Sonraki task'a geç
FAIL (< 3 deneme) → Feedback ver, tekrar dene
FAIL (3. deneme) → ESCALATE (reassign, parcala, ertele)Detay: ~/.claude/rules/qa-loop.md
Hangi iş hangi agent'a gider:
| Task | Ana Agent | Yedek | |------|-----------|-------| | React/Next.js UI | frontend-dev | designer | | API endpoint | backend-dev | kraken | | Auth/security | backend-dev + security-reviewer | security-analyst | | Büyük feature | kraken (TDD) | backend-dev | | Küçük fix | spark | frontend-dev | | Bug investigate | sleuth | scout | | Refactoring | phoenix + refactor-cleaner | kraken | | DB schema | backend-dev | database-reviewer | | CI/CD | devops | backend-dev | | Test yazımı | tdd-guide | qa-engineer |
Tam tablo: ~/.claude/rules/agent-assignment-matrix.md
Sen: "Auth sistemi ekle"
Hızır: @architect → plan → @kraken → implement
→ QA loop (code-reviewer + verifier, max 3 retry)
→ commitSen: "Login çalışmıyor"
Hızır: @sleuth → bul → @spark → düzelt → @verifier → commitSen: "/swarm E-commerce modülü ekle"
Hızır: Tüm ekip paralel:
Phase 1: scout + PM + architect (keşif)
Phase 2: assignment-matrix'e göre agent ata + Dev-QA loop
Phase 3: code-reviewer + security + QA + data (review)
Phase 4: QA FAIL retry'lar + verifier (quality gate)
Phase 5: self-learner + docs + growth (finalizasyon)Sen: "Bu kodu temizle"
Hızır: @phoenix → plan → @kraken → implement → @verifier → gateSen: "/learn API'da her zaman rate limit koy"
Hızır: → CLAUDE.md'ye yazar → Memory'ye kaydeder → Bir daha unutmazAgent'lar arası mesajlarda standart şablonlar kullanılır:
| Şablon | Ne Zaman | |--------|----------| | Standard Handoff | İş teslimi | | QA PASS | Task QA'den geçti | | QA FAIL | Task reddedildi (fix talimatıyla) | | Escalation | 3 denemeden sonra başarısız | | Bug Report | Hata tespit edildi | | Security Finding | Güvenlik açığı bulundu | | Status Update | Durum bildirimi |
Detay: ~/.claude/rules/handoff-templates.md
/project-detect çalıştır (veya Hızır otomatik yapar)canavar-cli.mjs report ile gör| Dosya | İçerik | |-------|--------| | rules/agents.md | Agent listesi + QA loop referansı | | rules/agent-assignment-matrix.md | Task → agent eşleştirme | | rules/qa-loop.md | Dev-QA döngüsü, retry, escalation | | rules/handoff-templates.md | 7 standart mesaj şablonu | | rules/auto-skill-activation.md | Otomatik tetikleme kuralları | | rules/canavar.md | Agent cross-training sistemi | | rules/coding-style.md | Kod yazım standartları | | rules/safety-and-quality.md | Git, security, testing kuralları |
> Unutma: Ben Hızır. 51 agent, 21 kural, 100+ skill. > Ne kadar kullanırsan o kadar öğrenirim. Her hata bir yatırım.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-12 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +68 percentage points is the difference between those two pass rates over the 22 comparable cases.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.