AI Consultation Skill

AI Consultation Skill

Methodology and templates for effective AI consultation workflows with external AI tools like Codex and Gemini.

When to Use

• Getting second opinions from Codex or Gemini CLI
• Code review consultations
• Architecture decision validation
• Security audits with multiple AI perspectives
• Debugging with alternative diagnostic approaches
• Performance reviews needing fresh insights

Consultation Types

1. Code Review / Quality Check - Focus on quality, security, performance, best practices
2. Architecture / Design Opinion - Focus on structure, patterns, scalability, tradeoffs
3. Debugging / Root Cause Analysis - Focus on finding causes, suggesting diagnostics
4. Security Audit - Focus on vulnerabilities, OWASP, auth, data exposure
5. Performance Review - Focus on bottlenecks, algorithms, optimization opportunities

Key Principles

Safety First

• Always use sandbox/​read-only mode for consultations
• External AI tools should not modify files
• Get user confirmation before any write operations

Critical Thinking

• Never accept AI suggestions blindly
• Compare external AI perspective with your own analysis
• Validate recommendations before presenting
• Acknowledge when uncertain

Effective Prompts

• Be specific about files and components to analyze
• Provide relevant context and constraints
• Specify desired output format (line numbers, severity ratings)
• Request prioritization by impact or severity

Resources

See the reference documents for detailed guidance:

• references/​prompt-templates.md - Ready-to-use prompt templates for all consultation types
• references/​examples.md - 12 concrete consultation examples with workflows
• references/​decision-tree.md - Comprehensive decision logic for choosing consultation types
• references/​consultation-checklist.md - Quality assurance checklist for consultations
• references/​cli-options.md - AI CLI options reference for Gemini and other tools

Quick Start

Basic Consultation Flow

1. Identify consultation type - What does the user need?
2. Prepare the prompt - Use templates, be specific
3. Execute safely - Always read-only/​sandbox mode
4. Evaluate critically - Don't accept blindly
5. Synthesize perspectives - Combine AI insights with your own
6. Present clearly - Prioritize findings, provide action items

Example Prompt Structure

[ACTION VERB] [COMPONENT] for [PURPOSE].

Focus on:
- [ASPECT 1]
- [ASPECT 2]
- [ASPECT 3]

For each finding:
- Provide line numbers
- Rate severity (Critical/​High/​Medium/​Low)
- Suggest remediation steps

Output Format

When presenting consultation results:

Executive Summary

Brief overview of key findings (2-3 sentences)

AI's Findings

Organized by priority:

• Critical issues
• High priority
• Medium priority
• Low priority

Your Analysis

Where you agree/​disagree, additional insights

Synthesis & Recommendations

Combined recommendations with actionable next steps