# Del Taiseiozaki Claude Code Orchestra Codex System > Codex System — Planning, Design & Complex Implementation - Skill: `tomevault-io/del-taiseiozaki-claude-code-orchestra-codex-system` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/del-taiseiozaki-claude-code-orchestra-codex-system` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/del-taiseiozaki-claude-code-orchestra-codex-system/raw - Safety review: pending (external: skill-scanner PASS, skillspector CAUTION) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/del-taiseiozaki-claude-code-orchestra-codex-system --- # Codex System — Planning, Design & Complex Implementation **Codex CLI handles planning, design, and complex code implementation.** > **Detailed rules**: `.claude/rules/codex-delegation.md` ## Two Roles of Codex ### 1. Planning & Design - Architecture design, module composition - Implementation plan creation (step breakdown, dependency ordering) - Trade-off evaluation, technology selection - Code review (quality and correctness analysis) ### 2. Complex Implementation - Complex algorithms, optimization - Debugging with unknown root causes - Advanced refactoring - Multi-step implementation tasks ## When to Consult (MUST) | Situation | Trigger Examples | |-----------|------------------| | **Planning** | "Create a plan" "Architecture" | | **Design decisions** | "How to design?" | | **Complex implementation** | "How to implement?" "How to build?" | | **Debugging** | "Why doesn't this work?" "Error" "Debug" | | **Trade-off analysis** | "Which is better?" "Compare" | | **Refactoring** | "Refactor" "Simplify" | | **Code review** | "Review" "Check" | ## When NOT to Consult - Simple file edits, typo fixes - Tasks that simply follow explicit user instructions - git commit, test execution, lint - **Codebase analysis** → general-purpose subagent (Opus 1M context) - **External information retrieval** → general-purpose subagent (Opus, WebSearch/WebFetch) - **Multimodal processing** → Gemini CLI (PDF/video/audio/images) ## How to Consult ### Subagent Pattern (Recommended) ``` Task tool parameters: - subagent_type: "general-purpose" - run_in_background: true (optional) - prompt: | Consult Codex about: {topic} codex exec --model gpt-5.4 --sandbox read-only --full-auto " {question for Codex} " 2>/dev/null Return CONCISE summary (key recommendation + rationale). ``` ### Direct Call (responses up to ~50 lines) ```bash codex exec --model gpt-5.4 --sandbox read-only --full-auto "Brief question" 2>/dev/null ``` ### Having Codex Implement Code ```bash codex exec --model gpt-5.4 --sandbox workspace-write --full-auto " Implement: {task description} Requirements: {requirements} Files: {file paths} " 2>/dev/null ``` ### Sandbox Modes | Mode | Use Case | |------|----------| | `read-only` | Design, review, debug analysis | | `workspace-write` | Implementation, fixes, refactoring | ## Task Templates ### Implementation Planning ```bash codex exec --model gpt-5.4 --sandbox read-only --full-auto " Create an implementation plan for: {feature} Context: {relevant architecture/code} Provide: 1. Step-by-step plan with dependencies 2. Files to create/modify 3. Key design decisions 4. Risks and mitigations " 2>/dev/null ``` ### Design Review ```bash codex exec --model gpt-5.4 --sandbox read-only --full-auto " Review this design approach for: {feature} Context: {relevant code or architecture} Evaluate: 1. Is this approach sound? 2. Alternative approaches? 3. Potential issues? 4. Recommendations? " 2>/dev/null ``` ### Debug Analysis ```bash codex exec --model gpt-5.4 --sandbox read-only --full-auto " Debug this issue: Error: {error message} Code: {relevant code} Context: {what was happening} Analyze root cause and suggest fixes. " 2>/dev/null ``` ## Language Protocol 1. Ask Codex in **English** 2. Receive response in **English** 3. Execute based on advice 4. Report to user in **the user's language** ## Codex Plugin Commands (codex-plugin-cc) When the `openai/codex-plugin-cc` plugin is installed, these slash commands are available: ### Code Review ```bash /codex:review # Review current uncommitted changes /codex:review --base main # Review branch diff against main /codex:review --background # Run review in background ``` ### Adversarial Review ```bash /codex:adversarial-review # Challenge design decisions /codex:adversarial-review --base main # Branch-level adversarial review /codex:adversarial-review --background look for race conditions ``` ### Task Delegation (Rescue) ```bash /codex:rescue investigate why the tests started failing /codex:rescue fix the failing test with the smallest safe patch /codex:rescue --resume apply the top fix from the last run /codex:rescue --model gpt-5.4-mini --effort medium investigate flaky test /codex:rescue --background investigate the regression ``` ### Job Management ```bash /codex:status # Check progress of background jobs /codex:result # Show finished job output /codex:cancel # Cancel active background job ``` ### Setup ```bash /codex:setup # Check if Codex is installed and authenticated /codex:setup --enable-review-gate # Enable auto-review gate (use with caution) /codex:setup --disable-review-gate # Disable review gate ``` ### When to Use Plugin vs Direct CLI | Scenario | Use | |----------|-----| | Pre-ship code review | `/codex:review` | | Challenge design | `/codex:adversarial-review` | | Delegate investigation/fix | `/codex:rescue` | | Background work + tracking | Plugin `--background` | | Ad-hoc design question | `codex exec` (direct) | | Implementation in sandbox | `codex exec --sandbox workspace-write` | | Subagent delegation | `codex exec` via general-purpose | ## Why Codex? - **Deep reasoning**: Complex analysis and problem-solving - **Planning expertise**: Architecture and implementation strategies - **Code mastery**: Complex algorithms, optimization, debugging - **Consistency**: Same project context via `context-loader` skill --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/del-taiseiozaki) — claim your Tome and manage your conversions.