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-planSKILL.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 realCCG_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 Scorecardfor 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-planis 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:executebehavior. - 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.jsonshowsresponse_saved=trueandresponse.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.
Source
- SKILL.md in the repositoryCheckingplugins/ccg/skills/ccg-gptpro-plan/SKILL.md
Popularity
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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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