Skill detail
codex-claude-cursor-loop
AI-assisted engineering workflow.
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SKILL.md
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--- name: codex-claude-cursor-loop description: Orchestrates a triple-AI engineering loop where Claude plans, Codex validates logic and reviews code, and Cursor implements, with continuous feedback for optimal code quality --- # Codex-Claude-Cursor Engineering Loop Skill ## Core Workflow Philosophy This skill implements a 3-way sequential validation engineering loop: - **Claude Code**: Architecture and planning, final review - **Codex**: Plan validation (logic/security), code review (bugs/performance) - **Cursor Agent**: Code implementation and execution - **Sequential Validation**: Claude plans → Codex validates → Cursor implements → Codex reviews → Claude final check → repeat ## Phase 1: Planning with Claude Code 1. Start by creating a detailed plan for the task 2. Break down the implementation into clear steps 3. Document assumptions and potential issues 4. Output the plan in a structured format ## Phase 2: Plan Validation with Codex 1. Ask user (via `AskUserQuestion`): - Model: `gpt-5` or `gpt-5-codex` - Reasoning effort: `low`, `medium`, or `high` 2. Send the plan to Codex for validation: ```bash echo "Review this implementation plan and identify any issues: [Claude's plan here] Check for: - Logic errors - Missing edge cases - Architecture flaws - Security concerns" | codex exec -m <model> --config model_reasoning_effort="<effort>" --sandbox read-only ``` 3. Capture Codex's feedback and summarize to user ## Phase 3: Plan Refinement Loop If Codex finds issues in the plan: 1. Summarize Codex's concerns to the user 2. Refine the plan based on feedback 3. Ask user (via `AskUserQuestion`): "Should I revise the plan and re-validate, or proceed with implementation?" 4. Repeat Phase 2 if needed until plan is solid ## Phase 4: Implementation with Cursor Agent Once the plan is validated by Codex: ### Session Management 1. Ask user (via `AskUserQuestion`): "Do you want to start a new Cursor session or resume an existing one?" - **New session**: Start fresh - **Resume session**: Continue previous work 2. If resuming: ```bash # List available sessions cursor-agent ls # Let user select session ID # Store session ID for subsequent calls ``` 3. Ask user (via `AskUserQuestion`): Which Cursor model to use (e.g., `composer-1`, `claude-3.5-sonnet`, `gpt-4o`) ### Implementation 4. Send the validated plan to Cursor Agent: **For new session:** ```bash cursor-agent --model "<model-name>" -p --force "Implement this plan: [Validated plan here] Please implement the code following these specifications exactly." ``` **For resumed session:** ```bash cursor-agent --resume="<session-id>" -p --force "Continue implementation: [Validated plan here]" ``` 5. **IMPORTANT**: Store the session ID from the output for all subsequent Cursor calls 6. Capture what was implemented and which files were modified ## Phase 5: Codex Code Review After Cursor implements: 1. Send Cursor's implementation to Codex for code review: ```bash echo "Review this implementation for: - Bugs and logic errors - Performance issues - Security vulnerabilities - Best practices violations - Code quality concerns Files modified: [list of files] Implementation summary: [what Cursor did]" | codex exec --sandbox read-only ``` 2. Capture Codex's code review feedback 3. Summarize findings to user ## Phase 6: Claude's Final Review After Codex code review: 1. Claude reads the implemented code using Read tool 2. Claude analyzes both: - Codex's review findings - The actual implementation 3. Claude provides final assessment: - Verify if it matches the original plan - Confirm Codex's findings are valid - Identify any additional concerns - Make final architectural decisions 4. Summarize overall quality and readiness ## Phase 7: Iterative Improvement Loop If issues are found (by Codex or Claude): 1. Claude creates a detailed fix plan based on: - Codex's code review findings - ClaRead the full source on GitHub (opens external page)