Install
$ agentstack add skill-longranger2-claude-gpt-workflow-plan-execute ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
About
Plan Execute Skill
Purpose
When the user runs /plan-execute {plan-file-path}, start the "orchestrated plan execution" workflow:
- I (Claude Code) ask Codex to implement the code according to the plan.
- After Codex finishes, I review the generated code.
- I write the review into the
reviews/directory, then ask Codex to inspect and fix the issues. - Repeat until the code quality bar is met.
Core principle: I do not write or edit code myself. I only do two things: review code and orchestrate Codex. All code changes, including implementation and fixes, are performed by Codex.
Usage
/plan-execute plans/my-feature-plan.md
Session Reuse
After each Codex invocation, extract session_id=xxx from the script output and save it as the session ID for the current task. In later Codex calls for the same task, pass --session to reuse context so Codex remembers prior implementation and fix history instead of rereading the entire codebase every time.
My Workflow (Claude Code)
Step 1: Read the Plan and Split Execution Steps
Read the specified plan file and understand:
- The overall goal and scope of the plan
- The list of files to create or modify
- The order of implementation steps
- Relevant project conventions, especially from
CLAUDE.md
If the plan already contains a checklist (- [ ] / - [x]), use those items as execution units. If it does not define clear steps, split the work into reasonable batches, with no more than 5 file changes per batch.
Step 2: Ask Codex to Implement the Code
Use the /codex skill and give Codex the following instruction:
Implement the code according to the plan in {plan-file-path}.
Current execution scope: {specific step or batch description}
Requirements:
- Follow the design in the plan exactly. Do not improvise beyond it.
- Obey the Code Quality Hard Limits defined in `CLAUDE.md`.
- Single file `- [x]`).
If unfinished steps remain, go back to Step 2 for the next batch.
Once all work is complete, move to the wrap-up.
### Step 7: Wrap Up
Report the following to the user:
- Which steps were completed
- How many code review rounds were needed
- Which major issues were fixed
- Final build status
- List of changed files
- Path to the review log file
## Review Severity Levels
| Level | Meaning | Must Fix |
|-------|---------|----------|
| Critical | Causes runtime failures or security vulnerabilities | Yes |
| High | Violates project conventions or has obvious design flaws | Yes |
| Medium | Code quality issue that should be improved | Recommended |
| Low | Style or preference issue | Optional |
| Suggestion | Optimization suggestion | Optional |
**Verdict rules:**
- If any Critical or High issue exists -> `NEEDS_FIX`
- If all issues are Medium or below -> `APPROVED` with optional improvement notes
## File Convention
- Share the same review file as `plan-review`: `reviews/{topic}-review.md`
- `{topic}` is the plan file name without `.md`
- Both plan review rounds and code review rounds are appended to the same file
- Distinguish them by heading: `## Round {N}` for plan review and `## Code Review Round {N}` for code review
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [longranger2](https://github.com/longranger2)
- **Source:** [longranger2/claude-gpt-workflow](https://github.com/longranger2/claude-gpt-workflow)
- **License:** MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.