Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/tomevault-io/skills-registry --skill codex-system명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | codex-system |
| description | | Use when this capability is needed. |
Codex CLI handles planning, design, and complex code implementation.
Detailed rules:
.claude/rules/codex-delegation.md
| 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" |
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).
codex exec --model gpt-5.4 --sandbox read-only --full-auto "Brief question" 2>/dev/null
codex exec --model gpt-5.4 --sandbox workspace-write --full-auto "
Implement: {task description}
Requirements: {requirements}
Files: {file paths}
" 2>/dev/null
| Mode | Use Case |
|---|---|
read-only | Design, review, debug analysis |
workspace-write | Implementation, fixes, refactoring |
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
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
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
When the openai/codex-plugin-cc plugin is installed, these slash commands are available:
/codex:review # Review current uncommitted changes
/codex:review --base main # Review branch diff against main
/codex:review --background # Run review in background
/codex:adversarial-review # Challenge design decisions
/codex:adversarial-review --base main # Branch-level adversarial review
/codex:adversarial-review --background look for race conditions
/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
/codex:status # Check progress of background jobs
/codex:result # Show finished job output
/codex:cancel # Cancel active background job
/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
| 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 |
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