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Codex Orchestration

Community
vibeeval
codex-orchestration

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.

Overview

Publishervibeeval
Repositoryvibecosystem
Skill namecodex-orchestration
Stars
533
Forks
44
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vibeeval on GitHub. Read the source before you install it.

Installation

Install the Codex Orchestration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/vibeeval/vibecosystem/tree/main/skills/codex-orchestration
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vibeeval/vibecosystem.git /tmp/vibecosystem
mkdir -p .claude/skills
cp -r /tmp/vibecosystem/skills/codex-orchestration .claude/skills/codex-orchestration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex Orchestration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Codex Orchestration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Codex Orchestration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Codex + Claude Code Orchestration

Guc Dagilimi Matrisi

YetenekCodex CLIClaude Code (Hizir)Kazanan
Hizgpt-5.6-luna / maxClaude adapter modeline bagliCodex
MaliyetWorker modeline ve kullanimina bagliClaude pricingAdapter'a bagli
Context windowSinirli1M tokenClaude Code
Multi-agentYOK (tek agent)134+ agent swarmClaude Code
Hook/self-learningYOKTam destek (74 hook)Claude Code
Memory/stateStateless (her cagri bagimsiz)Persistent memoryClaude Code
Code reviewBasit lintDerinlemesine + securityClaude Code
Bulk refactoringCok iyi (hiz+ucuz)Iyi ama pahaliCodex
Mimari kararZayifGuclu (architect agent)Claude Code
Test yazmaIyiIyi + TDD workflowEsit
Security auditBasit3-katman (SAST + review + manual)Claude Code
CI/CD entegrasyonuGitHub nativeGitHub Actions + webhookEsit

Kullanim Senaryolari

Senaryo 1: Codex Implement, Claude Code Review

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:

yaml
# .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."

Senaryo 2: Dual Review (Codex Hizli + Claude Code Derin)

yaml
# .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."

Senaryo 3: Codex Batch Task Dispatch

Birden fazla kuuk task'i Codex'e dagit, Claude Code koordine etsin.

bash
#!/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."

Review Dongusu Pattern (5 Faz)

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

Codex CLI Kullanim Pattern'leri

Temel Komutlar

bash
# 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"

# Model secimi luna_worker sozlesmesinden gelir; burada ikinci bir router yok
codex -q "task"

# Quiet mode (CI/CD icin)
codex --quiet -q "task"

CI/CD Entegrasyonu

bash
# 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

Maliyet Karsilastirmasi

SenaryoSadece Claude CodeSadece CodexHybrid
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.


Sinirlari ve Dikkat Edilecekler

Codex CLI Sinirlari

OzellikDurumNot
Multi-agentYOKTek agent, swarm mumkun degil
Hook sistemiYOKPreToolUse/PostToolUse yok
Self-learningYOKHatalardan ders cikarma yok
Persistent memoryYOKHer cagri bagimsiz
Agent personasYOKTek persona
Skill auto-discoveryKISMISKILL.md okuyabilir ama agent.md'leri kullanamaz
Context windowSINIRLI1M degil, daha kucuk
Tool callingSINIRLIBash + file read/write

Ne Zaman Codex KULLANMA

  1. Mimari kararlar gerektiren isler (Claude Code'un architect agent'i lazim)
  2. Security-critical degisiklikler (Claude Code'un 3-katman security review'i lazim)
  3. State gerektiren uzun isler (Codex stateless)
  4. Multi-file complex debug (Claude Code'un sleuth + coroner agent'lari lazim)
  5. Production deploy kararlari (Claude Code'un verify + ship workflow'u lazim)

Ne Zaman Codex KULLAN

  1. Bulk lint/format fix
  2. Boilerplate kod olusturma
  3. Basit test yazma
  4. Dokumantasyon olusturma/guncelleme
  5. Dependency upgrade (basit)
  6. Tekrarlayan refactoring (rename, extract method)
  7. i18n key ekleme
  8. Type annotation ekleme

Frequently asked questions

What does the Codex Orchestration AI skill do?

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.

Why use Codex Orchestration on TypingMind?

Because you install it once and use it with any model. Codex Orchestration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Codex Orchestration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vibeeval/vibecosystem/tree/main/skills/codex-orchestration. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Codex Orchestration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Codex Orchestration?

As many as you like. As long as a model supports skills, you can use Codex Orchestration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Codex Orchestration AI skill free?

Yes. It is published on GitHub by vibeeval under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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