Multi-AI Consultant

Consult external AIs for second opinions when Claude Code is stuck or making critical decisions.

---

What This Skill Does

This skill enables future Claude Code sessions to consult other AIs when:

• Stuck on a bug after one failed attempt
• Making architectural decisions
• Security concerns need validation
• Fresh perspective needed

Key innovation: Uses existing CLI tools (gemini, codex) instead of building MCP servers - much simpler and more maintainable.

---

When to Use This Skill

Automatic Triggers (No User Action Needed)

Claude Code should automatically suggest using this skill when:

1. After 1 failed debugging attempt

   • Tried one approach to fix a bug
   • Still not working or different error
   • → Suggest: "Should I consult [Gemini|Fresh Claude] for a second opinion?"

2. Before architectural decisions

   • Significant design choices (state management, routing, data flow)
   • Framework selection
   • Database schema design
   • → Auto-consult (mention to user): "Consulting Gemini for architectural validation..."

3. Security changes

   • Authentication logic
   • Authorization rules
   • Cryptography
   • Input validation
   • → Auto-consult: "Consulting Gemini to verify security approach..."

4. When uncertain

   • Multiple valid approaches
   • Trade-offs not clear
   • Conflicting advice in documentation
   • → Suggest: "Would you like me to consult another AI for additional perspective?"

Manual Invocation (User Commands)

User can explicitly request consultation with:

• /consult-gemini [question] - Gemini 2.5 Pro with thinking, search, grounding
• /consult-codex [question] - OpenAI GPT-4 via Codex CLI (repo-aware)
• /consult-claude [question] - Fresh Claude subagent (free, fast)
• /consult-ai [question] - Router that asks which AI to use

---

The Three AIs

AI	Tool	When to Use	Special Features	Cost
Gemini 2.5 Pro	gemini CLI	Web research, latest docs, thinking	Google Search, extended reasoning, grounding	~$0.10-0.50
OpenAI GPT-4	codex CLI	Repo-aware analysis, code review	Auto-scans directory, OpenAI reasoning	~$0.05-0.30
Fresh Claude	Task tool	Quick second opinion, budget-friendly	Same capabilities, fresh perspective	Free

For detailed AI comparison: Load references/ai-strengths.md when choosing which AI to consult for specific use cases.

---

How It Works

Architecture

Claude Code encounters bug/decision
        ↓
Suggests consultation (or user requests)
        ↓
User approves
        ↓
Execute appropriate slash command
        ↓
CLI command calls external AI
        ↓
Parse response
        ↓
Synthesize: Claude's analysis + External AI's analysis
        ↓
Present 5-part comparison
        ↓
Ask permission to implement

The 5-Part Synthesis Format

Every consultation must follow this format (prevents parroting):

1. 🤖 My Analysis - Claude's original reasoning and attempts
2. 💎/🔷/🔄 Other AI's Analysis - External AI's complete response
3. 🔍 Key Differences - Agreement, divergence, what each AI caught/missed
4. ⚡ Synthesis - Combined perspective, root cause, trade-offs
5. ✅ Recommended Action - Specific next steps with file paths/line numbers

End with: "Should I proceed with this approach?"

---

Setup

For complete installation guide: Load references/setup-guide.md when installing CLIs, configuring API keys, or setting up templates.

Quick setup:

1. Install CLIs: bun add -g @google/generative-ai-cli (Gemini), bun add -g codex (Codex, optional)
2. Set API keys: export GEMINI_API_KEY="...", export OPENAI_API_KEY="..."
3. Install skill: Symlink to ~/.claude/skills/multi-ai-consultant
4. Copy templates: GEMINI.md, codex.md, .geminiignore to project root
5. Verify: gemini -p "test", codex exec - --yolo

Get API keys:

• Gemini: https://aistudio.google.com/apikey
• OpenAI: https://platform.openai.com/api-keys

---

Usage

For detailed examples: Load references/usage-examples.md when learning consultation workflows or seeing real-world scenarios.

Quick examples:

• Bug: After 1 failed attempt → /consult-gemini for web-researched solution
• Architecture: Design decision → /consult-gemini for latest best practices
• Code review: Refactoring validation → /consult-codex for repo-aware consistency check
• Quick opinion: Sanity check → /consult-claude for free fresh perspective

5 detailed examples available:

1. JWT authentication bug (saved ~30 min, found platform-specific issue)
2. State management choice (informed decision with 2025 patterns)
3. Refactoring review (found 3 consistency issues)
4. Security validation (found 2 critical issues via OWASP 2025)
5. Multi-AI workflow (high-stakes database choice)

---

Slash Commands

For complete command reference: Load references/commands-reference.md when needing detailed syntax, options, or cost tracking information.

Quick command overview:

/consult-gemini [question]

• Use: Web research, latest docs, extended thinking
• Features: Google Search, grounding, thinking mode
• Cost: ~$0.10-0.50
• Example: /consult-gemini Is this JWT secure by 2025 standards?

/consult-codex [question]

• Use: Repo-aware analysis, code review
• Features: Auto-scans directory, consistency checks
• Cost: ~$0.05-0.30
• Example: /consult-codex Review for performance bottlenecks

/consult-claude [question]

• Use: Quick second opinion, budget-friendly
• Features: Free, fast, fresh perspective
• Cost: Free
• Example: /consult-claude Am I missing something obvious?

/consult-ai [question]

• Use: Router (recommends which AI to use)
• Features: Analyzes question, suggests best AI
• Cost: Varies by chosen AI
• Example: /consult-ai How should we structure this architecture?

---

Templates

Templates customize AI behavior for consultations (auto-loaded from project root):

1. GEMINI.md - System instructions for Gemini (enforces 5-part format, web search)
2. codex.md - System instructions for Codex (enforces repo-aware analysis)
3. .geminiignore - Privacy exclusions beyond .gitignore
4. consultation-log-parser.sh - View consultation history (optional)

Installation: Copy from ~/.claude/skills/multi-ai-consultant/templates/ to project root

---

Privacy & Security

Automatic protection:

• Both CLIs respect .gitignore automatically
• Create .geminiignore for extra exclusions (.env*, *secret*, *credentials*)
• Pre-consultation check warns if sensitive patterns detected

Privacy best practices:

• Always configure .gitignore properly
• Create .geminiignore for extra safety
• Use smart context selection (specific files, not entire repo)
• Verify what will be sent: git status --ignored

For detailed privacy configuration: Load references/setup-guide.md when setting up .geminiignore or privacy exclusions.

---

Cost Tracking

Every consultation logged to ~/.claude/ai-consultations/consultations.log

Log format: timestamp,ai,model,input_tokens,output_tokens,cost,project_path

View logs: consultation-log-parser.sh --summary

Example output:

Total consultations: 47
Gemini: 23 ($4.25), Codex: 12 ($1.85), Fresh Claude: 12 ($0.00)
Total cost: $6.10

For detailed cost tracking: Load references/commands-reference.md when viewing logs, calculating costs, or managing budgets.

---

Common Issues

For complete troubleshooting: Load references/troubleshooting.md when encountering errors or setup issues.

Top 5 issues:

1. CLI not installed: gemini: command not found → Fix: bun add -g @google/generative-ai-cli
2. API key invalid: Authentication failed → Fix: export GEMINI_API_KEY="..."
3. Context too large: Token limit exceeded → Fix: Use specific files, not entire repo
4. Privacy leak: .env file sent → Fix: Add to .gitignore and .geminiignore
5. Skill not discovered: Not working → Fix: Check ~/.claude/skills/multi-ai-consultant

---

Token Efficiency

Without This Skill

Typical scenario (stuck on bug):

1. Try approach 1 (~4k tokens)
2. Research CLI syntax (~3k tokens)
3. Try approach 2 (~4k tokens)
4. Research documentation (~3k tokens)
5. Try approach 3 (~4k tokens)

Total: ~20k tokens, 30-45 minutes

With This Skill

Same scenario:

1. Try approach 1 (~4k tokens)
2. Execute /consult-gemini (~1k tokens)
3. Gemini finds issue (<5k tokens, billed separately)
4. Implement fix (~3k tokens)

Total: ~8k tokens, 5-10 minutes

Savings: ~60% tokens, ~75% time

---

Success Metrics

Time Efficiency

• Without skill: 30-45 minutes (trial and error)
• With skill: 5-10 minutes (consultation + fix)
• Savings: ~75%

Token Efficiency

• Without skill: ~20k tokens (multiple attempts)
• With skill: ~8k tokens (one consultation)
• Savings: ~60%

Error Prevention

• Manual CLI use: 3-5 common errors (flags, parsing, privacy)
• With skill: 0 errors (all handled by commands)
• Prevention: 100%

Quality

• Manual: Risk of not synthesizing (just copying external AI)
• With skill: Forced synthesis via GEMINI.md/codex.md
• Improvement: Guaranteed value-add

---

Why CLI Approach (Not MCP)?

Aspect	MCP Server	CLI Approach
Setup time	4-6 hours	60-75 minutes
Complexity	High (MCP protocol)	Low (bash + CLIs)
Maintenance	Update MCP SDK	Update CLI (rare)
Flexibility	Locked to AIs	Any AI with CLI
Debugging	MCP protocol	Standard bash
Dependencies	MCP SDK, npm	Just CLIs

Winner: CLI approach - 80% less effort, same functionality

---

When to Load References

Load reference files when working on specific aspects of AI consultation:

ai-strengths.md

Load when:

• Selection-based: Choosing which AI to consult (Gemini vs Codex vs Fresh Claude)
• Comparison-based: Understanding capabilities, costs, and trade-offs between AIs
• Strategy-based: Planning combination strategies (free → paid, paid first, budget-conscious)
• Capability-based: Understanding special features (Google Search, extended thinking, grounding, repo-aware, fresh perspective)
• Scenario-based: Multiple AI consultation workflows, validation workflows

setup-guide.md

Load when:

• Installation-based: Setting up Gemini CLI, Codex CLI, or installing the skill
• Configuration-based: Configuring API keys, environment variables, or system paths
• Privacy-based: Setting up .geminiignore, privacy exclusions, or security configurations
• Template-based: Installing GEMINI.md, codex.md, .geminiignore, or consultation-log-parser.sh
• Verification-based: Testing CLI installation, API keys, or skill discovery

commands-reference.md

Load when:

• Command-based: Using /consult-gemini, /consult-codex, /consult-claude, or /consult-ai
• Syntax-based: Understanding command flags, options, or context selection
• Cost-based: Understanding cost tracking, log format, or viewing consultation history
• Logging-based: Using consultation-log-parser.sh or analyzing consultation patterns

usage-examples.md

Load when:

• Scenario-based: Learning how to use skill for bugs, architecture decisions, or code review
• Workflow-based: Understanding consultation workflow, synthesis process, or multi-AI approach
• Example-based: Seeing real-world examples of consultations and their outcomes (5 detailed examples available)

troubleshooting.md

Load when:

• Error-based: Encountering specific errors (command not found, API key invalid, parsing failures)
• Diagnosis-based: Troubleshooting CLI issues, API connectivity, or skill discovery
• Fix-based: Resolving known issues with step-by-step solutions (8 common issues documented)
• Debugging-based: Testing CLIs manually, checking configurations, or verifying installations

---

Contributing

Found an issue?

• Document it in troubleshooting.md
• Include fix/workaround
• Update slash commands to prevent

Adding new AI?

• Create new slash command: commands/consult-newai.md
• Add to router: Update commands/consult-ai.md
• Create template: templates/newai.md (if CLI supports system instructions)
• Update documentation

Improving synthesis?

• Edit templates: templates/GEMINI.md, templates/codex.md
• Test with real consultations
• Measure before/after quality

---

References

External Resources

• Gemini CLI: https://ai.google.dev/gemini-api/docs/cli
• OpenAI Codex: https://www.npmjs.com/package/codex
• OpenAI API: https://platform.openai.com/docs
• Gemini API Pricing: https://ai.google.dev/pricing
• OpenAI Pricing: https://openai.com/pricing

Internal Files

• Planning docs: planning/multi-ai-consultant-*.md
• Slash commands: commands/*.md
• Templates: templates/*
• Scripts: scripts/*
• References: references/*.md (5 reference files)

---

License

MIT License - See LICENSE file

---

Last Updated: 2025-11-07 Status: Production Ready Maintainer: Claude Skills Maintainers | maintainers@example.com