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cross-model-review
Use another LLM (Codex, Gemini) to QA plans and implementations before committing
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Use another LLM (Codex, Gemini) to QA plans and implementations before committing
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Generate and edit images using OpenAI's gpt-image models (gpt-image-1 / gpt-image-2). Use as an alternative to the Gemini (Nano Banana) image path when the user asks for OpenAI image generation, or when comparing providers for a hero/product/social asset. Covers text-to-image, image editing, transparent backgrounds, and CircleTel brand context.
Generate images cost-effectively via OpenRouter (Seedream 4.5, FLUX.2, Recraft V4, etc.) as a cheaper alternative to OpenAI gpt-image. Use when the user wants low-cost image generation, a specific OpenRouter image model, or quality comparable to gpt-image-2 at a fraction of the price. Requires OPENROUTER_API_KEY in .env.local.
Agentic product management system for CircleTel - browse suppliers, analyze market fit, generate documentation, and track lifecycle
Capture insights and corrections to make future work easier. Implements RSI (Recursive Self-Improvement) through automated correction detection and pattern extraction.
Generate Nano Banana Pro (Gemini image gen) prompts for CircleTel campaign-specific visuals — launch banners, campaign hero images, event graphics, and B2B outreach assets. Use for any named campaign (TrUSC, coverage push, product launch, seasonal promo).
Generate Nano Banana Pro (Gemini image gen) prompts for CircleTel package comparison infographics and Bento grid visuals — pricing pages, package feature cards, service tier comparisons. Use when building pricing sections, product comparison pages, or any structured feature-list visual.
| name | cross-model-review |
| description | Use another LLM (Codex, Gemini) to QA plans and implementations before committing |
| trigger | When starting multi-phase feature work or before merging significant PRs |
Use a second LLM (Codex CLI or Gemini) to review plans and implementations. This catches blind spots that a single model might miss.
┌─────────────────────────────────────────────────────────────┐
│ STEP 1: PLAN Claude Code │
│ ───────────── Plan Mode │
│ Open Claude Code in plan mode (Terminal 1). │
│ Claude interviews you via AskUserQuestion. │
│ Produces a phased plan with test gates. │
│ │
│ Output: .claude/plans/{feature-name}.md │
│ │
│ ▼ │
│ │
│ STEP 2: QA REVIEW Codex/Gemini │
│ ────────────────── Terminal 2 │
│ Open Codex CLI or Gemini in another terminal. │
│ Prompt: "Review this plan against the actual codebase. │
│ Insert 'Phase 2.5' if steps are missing. │
│ Add findings but never rewrite original phases." │
│ │
│ Output: .claude/plans/{feature-name}.md (with findings) │
│ │
│ ▼ │
│ │
│ STEP 3: IMPLEMENT Claude Code │
│ ────────────────── New Session │
│ Start fresh Claude Code session (Terminal 1). │
│ Implement phase-by-phase with test gates at each phase. │
│ │
│ ▼ │
│ │
│ STEP 4: VERIFY Codex/Gemini │
│ ──────────────── Terminal 2 │
│ Prompt: "Verify implementation against the plan. │
│ Flag any deviations or missing requirements." │
│ │
└─────────────────────────────────────────────────────────────┘
Review this implementation plan against the actual codebase:
[paste plan content]
Instructions:
1. Check if referenced files/functions exist
2. Check if the proposed approach matches existing patterns
3. Insert intermediate phases ("Phase 2.5") where steps are missing
4. Add "Codex Finding:" or "Gemini Finding:" headings for issues
5. DO NOT rewrite the original phases - only add to them
Verify this implementation against the original plan:
PLAN: [paste plan]
IMPLEMENTATION: [paste git diff or file changes]
Check for:
1. Missing requirements from the plan
2. Deviations from the agreed approach
3. Edge cases not handled
4. Tests that should exist but don't
Pattern extracted from shanraisshan/claude-code-best-practice