OpenAI Codex CLI + Claude Code (Hizir) birlikte kullanim rehberi. Is dagitim pattern'leri, GitHub Actions workflow ornekleri, review dongusu ve iki AI yazilim asistaninin guclu yanlarini birlestiren orchestration stratejileri.
npx skills add https://github.com/vibeeval/vibecosystem --skill codex-orchestration
| Yetenek | Codex CLI | Claude Code (Hizir) | Kazanan |
|---------|-----------|---------------------|---------|
| Hiz | Hizli (o4-mini) | Orta (opus) | Codex |
| Maliyet | Ucuz (~$1.10/1M input) | Pahalı (opus pricing) | Codex |
| Context window | Sinirli | 1M token | Claude Code |
| Multi-agent | YOK (tek agent) | 134+ agent swarm | Claude Code |
| Hook/self-learning | YOK | Tam destek (74 hook) | Claude Code |
| Memory/state | Stateless (her cagri bagimsiz) | Persistent memory | Claude Code |
| Code review | Basit lint | Derinlemesine + security | Claude Code |
| Bulk refactoring | Cok iyi (hiz+ucuz) | Iyi ama pahali | Codex |
| Mimari karar | Zayif | Guclu (architect agent) | Claude Code |
| Test yazma | Iyi | Iyi + TDD workflow | Esit |
| Security audit | Basit | 3-katman (SAST + review + manual) | Claude Code |
| CI/CD entegrasyonu | GitHub native | GitHub Actions + webhook | Esit |
En yaygin ve etkili pattern.
1. Claude Code → plan.md olusturur (architect agent)
2. Codex → plan.md'ye gore implement eder (full-auto mode)
3. Codex → PR acar
4. Claude Code → PR review eder (code-reviewer + security-reviewer)
5. Codex → Review bulgularini fix eder
6. Claude Code → Final verify + merge onay
GitHub Actions Workflow:
# .github/workflows/codex-implement-claude-review.yml
name: Codex + Claude Code Pipeline
on:
issues:
types: [labeled]
jobs:
codex-implement:
if: contains(github.event.label.name, 'codex-task')
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Codex Implementation
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
run: |
npx codex --approval-mode full-auto \
--quiet \
-q "Implement the task described in issue #${{ github.event.issue.number }}. Follow the plan if provided."
- name: Create PR
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
git checkout -b codex/issue-${{ github.event.issue.number }}
git add -A
git commit -m "feat: implement issue #${{ github.event.issue.number }} [codex]"
git push -u origin codex/issue-${{ github.event.issue.number }}
gh pr create --title "Codex: Issue #${{ github.event.issue.number }}" \
--body "Automated implementation by Codex CLI. Awaiting Claude Code review."
claude-review:
needs: codex-implement
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Claude Code Review
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
run: |
# claude-review workflow zaten mevcut
claude -p "Review the PR changes. Run code-reviewer + security-reviewer. Report findings."
# .github/workflows/dual-review.yml
name: Dual AI Review
on:
pull_request:
types: [opened, synchronize]
jobs:
codex-quick-review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Codex Quick Lint Review
run: |
npx codex --approval-mode full-auto -q \
"Review the diff for obvious issues: lint errors, typos, missing imports, type errors. Be brief."
claude-deep-review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Claude Code Deep Review
run: |
claude -p "Deep review: architecture, security, performance, edge cases. Use code-reviewer + security-reviewer agents."
Birden fazla kuuk task'i Codex'e dagit, Claude Code koordine etsin.
#!/bin/bash
# batch-codex-tasks.sh
TASKS=(
"Add input validation to all API endpoints in src/api/"
"Convert all var declarations to const/let in src/utils/"
"Add JSDoc comments to all exported functions in src/lib/"
"Fix all TypeScript strict mode errors in src/models/"
)
for i in "${!TASKS[@]}"; do
echo "Task $((i+1)): ${TASKS[$i]}"
npx codex --approval-mode full-auto --quiet -q "${TASKS[$i]}" &
done
wait
echo "All Codex tasks complete. Running Claude Code verification..."
claude -p "Verify all changes: build, test, lint. Report issues."
PHASE 1: PLAN (Claude Code)
├── architect agent ile plan olustur
├── Task'lari tanimla
├── Kabul kriterleri belirle
└── plan.md veya GitHub issue olustur
PHASE 2: IMPLEMENT (Codex)
├── codex --approval-mode full-auto
├── Her task icin ayri branch
├── PR ac
└── Codex kendi testlerini de yazabilir
PHASE 3: REVIEW (Claude Code)
├── code-reviewer: Kalite, pattern, best practice
├── security-reviewer: Guvenlik aciklari
├── verifier: Build + test + lint
└── VERDICT: PASS / FAIL + feedback
PHASE 4: FIX (Codex)
├── Claude Code'un feedback'ini al
├── Sadece belirtilen sorunlari duzelt
├── Yeni feature EKLEME
└── Tekrar PR guncelle
PHASE 5: MERGE (Claude Code)
├── Final verify
├── Tum testler geciyor mu?
├── Security temiz mi?
└── Merge onay + deploy
# Interaktif mod (terminal'de calisir)
codex
# Tek seferlik task (non-interactive)
codex -q "task aciklamasi"
# Full auto (onay istemeden yapar)
codex --approval-mode full-auto -q "task"
# Belirli model
codex --model o4-mini -q "task"
# Quiet mode (CI/CD icin)
codex --quiet -q "task"
# GitHub Actions icinde
CODEX_QUIET=1 npx codex --approval-mode full-auto -q "$TASK"
# Cikti kontrolu
if [ $? -eq 0 ]; then
echo "Codex task basarili"
else
echo "Codex task basarisiz, Claude Code'a devret"
claude -p "Fix the failed Codex task: $TASK"
fi
| Senaryo | Sadece Claude Code | Sadece Codex | Hybrid |
|---------|-------------------|-------------|--------|
| 10 dosya refactoring | ~$2-5 | ~$0.30-0.50 | ~$0.80 |
| Security review | ~$1-3 (derinlemesine) | ~$0.20 (yuzeysel) | ~$1.20 |
| Test yazma (20 test) | ~$3-5 | ~$0.50-1.00 | ~$1.50 |
| Mimari planlama | ~$2-4 (detayli) | ~$0.30 (yuzeysel) | ~$2.30 |
| Toplam | ~$8-17 | ~$1.30-2.00 | ~$5.80 |
Hybrid strateji %40-60 maliyet tasarrufu saglar.
Formul: Codex'i "volume work" icin, Claude Code'u "judgment work" icin kullan.
| Ozellik | Durum | Not |
|---------|-------|-----|
| Multi-agent | YOK | Tek agent, swarm mumkun degil |
| Hook sistemi | YOK | PreToolUse/PostToolUse yok |
| Self-learning | YOK | Hatalardan ders cikarma yok |
| Persistent memory | YOK | Her cagri bagimsiz |
| Agent personas | YOK | Tek persona |
| Skill auto-discovery | KISMI | SKILL.md okuyabilir ama agent.md'leri kullanamaz |
| Context window | SINIRLI | 1M degil, daha kucuk |
| Tool calling | SINIRLI | Bash + file read/write |
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take vibeeval/codex-orchestration from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.