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:

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   Analyze this topic from multiple perspectives:
   
   Topic: <topic or decision>
   
   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:

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   codex exec --sandbox read-only -c model_reasoning_effort="high" "<prompt>"
   

   Gemini:

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   gemini -s -y -o json "<prompt>"
   

5. Synthesize multi-model, multi-perspective analysis

Response Format

## 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]

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*Session IDs: Codex=[id], Gemini=[id]*