--- name: council-consensus description: Use for multi-perspective analysis with both Codex and Gemini exploring different viewpoints. Triggers on "council perspectives", "pros and cons from council", "council evaluate options", "what are the tradeoffs", "council consensus". --- # Council Consensus Skill Multi-perspective analysis with both Codex and Gemini, each exploring for/against/neutral viewpoints for comprehensive evaluation. ## When to Use - Evaluating technology choices - Architecture decisions - Trade-off analysis - When user needs pros and cons - Comparing different approaches - Decision-making support ## Reasoning Level **high** (default for balanced analysis) ## Execution 1. Identify the topic/question for consensus 2. Gather relevant context 3. For each model, request stance-based analysis: ``` Analyze this topic from multiple perspectives: Topic: Please provide: 1. **FOR** arguments - Best case for this approach 2. **AGAINST** arguments - Concerns and risks 3. **NEUTRAL** assessment - Objective analysis 4. **Recommendation** - Your balanced conclusion ``` 4. Run **BOTH** commands in parallel: **Codex:** ```bash codex exec --sandbox read-only -c model_reasoning_effort="high" "" ``` **Gemini:** ```bash gemini -s -y -o json "" ``` 5. Synthesize multi-model, multi-perspective analysis ## Response Format ```markdown ## AI Council Consensus Analysis ### Codex (GPT-5.2) Perspectives: **FOR:** - [Pro arguments] **AGAINST:** - [Con arguments] **NEUTRAL:** - [Objective observations] **Recommendation:** [Codex's conclusion] --- ### Gemini Perspectives: **FOR:** - [Pro arguments] **AGAINST:** - [Con arguments] **NEUTRAL:** - [Objective observations] **Recommendation:** [Gemini's conclusion] --- ### Council Consensus: **Unanimous FOR:** [Points both models agree are advantages] **Unanimous AGAINST:** [Concerns both models share] **Divergent Views:** [Where the models disagree] **Cross-Model Insights:** - [Unique insights from combining perspectives] **Council Recommendation:** [Synthesized recommendation based on all perspectives from both models] **Confidence Level:** [High if both agree, Medium if partial agreement, Low if divergent] --- *Session IDs: Codex=[id], Gemini=[id]* ```