jed-zed/ccg-codex-workflow/ccg-gptpro-plan

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Create a manual ChatGPT Pro planning second-opinion bridge. Use when the user invokes /ccg:gptpro-plan.

Install

npx vskill@latest install jed-zed/ccg-codex-workflow/ccg-gptpro-plan

SKILL.md

CCG GPT Pro Plan

This is a Codex + Gemini + GPT Pro planning workflow.

Load and follow skills/ccg-gptpro-bridge/SKILL.md.

Behavior

  • Treat the argument as a planning task or plan-review input.
  • Run Gemini before GPT Pro using the bundled Gemini preview helper with --prompt-template plan.
  • Follow the Gemini Gate Before GPT Pro from skills/ccg-gptpro-bridge/SKILL.md: require a real CCG_GEMINI_RESPONSE_FILE, read a non-empty Gemini response from it, stop and do not create a GPT Pro bridge session if it is missing or empty, and do not invent Gemini findings.
  • Include Codex's planning context, the Gemini response file path, and a concise Gemini findings summary in the GPT Pro prompt.
  • Include the original CCG 需求完整性评分(0-10) with 目标明确性(0-3), 预期结果(0-3), 边界范围(0-2), 约束条件(0-2), 总分:X/10, and 判定:>=7 继续;<7 停止并提出补充问题.
  • Require GPT Pro to output a Planning Readiness Scorecard for plan maturity, ambiguity, risk, testability, and whether Codex should proceed.
  • Build a single-round planning prompt by default.
  • Expected manual questions: 1.
  • Maximum manual questions: 2.
  • Round 2 only for blocker re-check or revised plan comparison.
  • Use scripts/gptpro_bridge.py --mode plan --detach-preview --open-preview --gemini-response-file <CCG_GEMINI_RESPONSE_FILE> --gemini-summary-file <summary-file>.
  • Read the saved response file only after the user manually saves it.
  • Summarize and synthesize Codex, Gemini, and GPT Pro findings in Chinese.
  • Preserve the Plan-only Boundary: score readiness only; do not let the GPT Pro score become an execution trigger.
  • Codex remains final owner.
  • Do not automate ChatGPT web login.
  • Do not read ChatGPT web DOM.
  • Do not extract ChatGPT Output programmatically.

Plan-only Boundary

  • /ccg:gptpro-plan is planning-only.
  • Do not execute implementation.
  • Do not apply code changes except writing or updating CCG plan artifacts and GPT Pro bridge artifacts.
  • Do not run implementation tasks, mutate product code, commit, push, create a pull request, or continue into /ccg:execute behavior.
  • After the user saves GPT Pro output, synthesize Codex, Gemini, and GPT Pro planning findings only.
  • Produce or revise the plan, report the plan location and key decisions in Chinese, then stop.
  • Stop after producing or updating the plan.
  • If the user wants execution, require a separate /ccg:execute <plan> or /ccg:codex-exec <plan> request.

Manual Handoff Barrier

  • After creating the bridge artifacts, show only handoff metadata.
  • Do not paste the full generated prompt into chat.
  • Show the preview URL, session directory, prompt file path, response file path, and status file path.
  • Tell the user to open the preview page and use the preview page Copy Prompt button, then manually submit the prompt to ChatGPT Pro and manually save the response.
  • End the current assistant turn after the handoff. Do not continue the planning analysis in the same turn.
  • Continue only after status.json shows response_saved=true and response.md is non-empty.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
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