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project-detect

Projeye girdiginde tech stack'i tespit et, uygun skill ve agent'lari aktive et. Kullanim: /project-detect

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Works withDocker
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  • SKILL.md1.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

/project-detect - Otomatik Proje Tespiti

Mevcut dizindeki dosyalari tarayarak projenin tech stack'ini tespit et.

Adim 1: Dosya Tarama

Su dosyalari kontrol et (paralel):

  • package.json (name, dependencies, scripts)
  • tsconfig.json
  • pyproject.toml / requirements.txt / setup.py
  • go.mod
  • Cargo.toml
  • pom.xml / build.gradle
  • manage.py
  • docker-compose.yml / Dockerfile
  • .github/workflows/
  • CLAUDE.md (mevcut proje hafizasi)
  • .env.example

Adim 2: Stack Raporu

PROJE TESPITI
=============
Proje: <dizin adi>
Dil: TypeScript / Python / Go / Java / Rust
Framework: Next.js / Django / Spring Boot / Gin / ...
Database: PostgreSQL / MongoDB / SQLite / ...
ORM: Prisma / SQLAlchemy / GORM / JPA / ...
Test: Jest / pytest / go test / JUnit / ...
CI/CD: GitHub Actions / GitLab CI / ...
Container: Docker / Docker Compose / K8s / ...
Monorepo: Evet/Hayir (turborepo, nx, lerna)

Aktif Skill'ler:
  - <skill-1>
  - <skill-2>
  - ...

Aktif Workflow:
  feature: @architect -> @kraken -> @tdd-guide -> @code-reviewer -> @verifier
  bugfix: @sleuth -> @spark -> @verifier
  refactor: @phoenix -> @kraken -> @verifier

Adim 3: CLAUDE.md Kontrol

  • Dizinde CLAUDE.md var mi?
  • Yoksa: "CLAUDE.md olusturayim mi? (template: ~/.claude/templates/CLAUDE-TEMPLATE.md)"
  • Varsa: Oku, proje bilgilerini kontrol et, eksikleri tamamla

Adim 4: Oneriler

Projeye ozel oneriler sun:

  • Eksik test varsa belirt
  • Security riski varsa uyar
  • Performans iyilestirme firsati varsa soyple
  • Kullanilmayan dependency varsa belirt

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