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Zhongwei Li
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skills/consultant/SKILL.md
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skills/consultant/SKILL.md
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name: consultant
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description: Multi-model AI consultation and research. Supports CONSULTATION MODE (ask single expert), RESEARCH MODE (parallel multi-agent), or DELIBERATION MODE (agents debate and refine). USE WHEN user says 'ask gemini', 'consult codex' (consultation), 'do research' (research), or 'deliberate on' (deliberation).
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---
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# Consultant Skill
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## Three Operation Modes
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### CONSULTATION MODE (Single Expert)
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Ask a specific AI model for focused analysis or second opinion.
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**Trigger Patterns:**
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- "Ask [model] about X"
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- "Consult [model] on Y"
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- "What does [model] think about Z"
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- "Get [model]'s opinion on X"
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- "[Model], analyze this problem"
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**Available Consultants:**
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- **codex** / **gpt5** - OpenAI GPT-5 Codex (advanced reasoning, technical analysis)
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- **gemini** - Google Gemini (multi-perspective analysis)
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- **grok** - xAI Grok (alternative LLM perspective)
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- **perplexity** - Perplexity Sonar (web research with citations)
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- **claude** - Claude WebSearch (web research, detailed analysis)
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**Examples:**
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- "Ask Gemini about the best approach to implement this feature"
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- "Consult Codex on this architectural decision"
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- "What does Grok think about this code pattern?"
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- "Get Perplexity's research on latest React trends"
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### RESEARCH MODE (Multi-Agent Parallel)
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Launch multiple agents simultaneously for comprehensive coverage.
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**Trigger Patterns:**
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- "Do research on X"
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- "Quick research: X"
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- "Extensive research on X"
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- "Research this topic"
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- "Investigate X"
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**Three Research Intensities:**
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#### QUICK RESEARCH
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- Launch 5 agents (1 of each type)
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- Timeout: 2 minutes
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- Best for: Simple queries, fast answers
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#### STANDARD RESEARCH (Default)
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- Launch 15 agents (3 of each type)
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- Timeout: 3 minutes
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- Best for: Comprehensive coverage, balanced depth
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#### EXTENSIVE RESEARCH
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- Launch 40 agents (8 of each type)
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- Timeout: 10 minutes
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- Best for: Deep-dive analysis, exhaustive reports
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### DELIBERATION MODE (Multi-Round Debate)
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Agents critique each other's answers and refine through peer review.
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**Trigger Patterns:**
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- "Deliberate on X"
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- "Have the consultants debate X"
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- "What do the models think about X after discussing?"
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- "Peer review: X"
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**How It Works:**
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**Round 1: Initial Perspectives (all 5 agents)**
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- Each agent provides initial analysis independently
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- No agent sees others' responses yet
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**Round 2: Critique & Challenge (all 5 agents)**
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- Share all Round 1 responses with all agents
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- Each agent reviews others' answers
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- Point out errors, gaps, strong points
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- Challenge assumptions
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- Add missing information
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**Round 3: Refinement (all 5 agents)**
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- Share all critiques
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- Agents revise their positions based on feedback
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- Acknowledge valid points from others
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- Defend or modify their stance
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- Identify emerging consensus
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**Round 4: Final Synthesis (main session)**
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- Analyze convergence vs divergence
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- Highlight consensus points (all/most agents agree)
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- Present unresolved disagreements with reasoning from each side
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- Rate confidence based on agent agreement
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**Timeout:** 5 minutes total (agents work in rounds)
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**Best for:**
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- Critical decisions needing peer review
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- Complex problems where single perspective is risky
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- Catching errors through multiple reviews
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- Finding consensus among experts
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- Identifying trade-offs through debate
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**Example:**
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```
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User: "Deliberate on: Should we use REST or GraphQL for our API?"
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Round 1 (Initial):
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- Codex: "GraphQL for flexible querying"
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- Gemini: "REST for simplicity"
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- Perplexity: [web research on adoption trends]
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Round 2 (Critique):
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- Codex: "Gemini's simplicity claim ignores client complexity - REST needs many endpoints"
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- Gemini: "Codex didn't mention GraphQL's caching challenges"
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- Perplexity: "Both missing recent data: GraphQL adoption is 45% in 2025"
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Round 3 (Refinement):
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- Codex: "Valid point on caching. Recommend REST for simple CRUD, GraphQL for complex reads"
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- Gemini: "Agree with Codex's nuanced position"
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- Consensus: Both viable, choose based on read complexity
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Synthesis:
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- CONSENSUS: Use REST for simple APIs, GraphQL for complex data fetching
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- AGREEMENT: Both have trade-offs, no universal answer
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- DISAGREEMENT: None (all converged)
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```
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## Available Agents
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- **perplexity-researcher**: Web search with Perplexity Sonar models
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- **claude-researcher**: Web search with Claude WebSearch
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- **gemini-researcher**: Analysis with Google Gemini
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- **codex-researcher**: Deep analysis with GPT-5 Codex
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- **grok-researcher**: Analysis with xAI Grok
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## How Consultation Mode Works
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1. **Detect consultation request** from trigger patterns
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2. **Identify target model** (gemini, codex, grok, perplexity, claude)
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3. **Launch single agent** of that type
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4. **Return focused analysis** from that one expert
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**Speed**: ~10-30 seconds per consultation
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## How Research Mode Works
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1. **Query Decomposition**: Break into 5-40 sub-questions
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2. **Parallel Launch**: All agents in SINGLE message
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3. **Collection**: Wait for timeout (2/3/10 minutes)
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4. **Synthesis**: Integrate findings with confidence ratings
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**Speed**:
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- Quick: ~30-60 seconds
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- Standard: ~30-90 seconds
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- Extensive: ~1-3 minutes
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## Agent Capabilities
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**Web Search Agents:**
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- perplexity: Citations, Sonar models, current data
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- claude: Built-in WebSearch, detailed analysis
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**LLM Analysis Agents:**
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- codex: GPT-5 with high reasoning, technical deep-dives
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- gemini: Multi-perspective synthesis
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- grok: Alternative LLM perspective
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## Best Practices
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**For Consultation:**
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- Use when you want ONE expert opinion
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- Good for second opinions, alternative perspectives
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- Faster and cheaper than research mode
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**For Research:**
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- Use when you need comprehensive coverage
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- Multiple perspectives reveal blind spots
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- Higher confidence through corroboration
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**Agent Selection:**
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- Codex/GPT-5: Complex technical problems, deep reasoning
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- Gemini: Creative solutions, multi-angle analysis
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- Grok: Alternative perspective, different training data
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- Perplexity: Current web information, citations needed
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- Claude: Web research, detailed synthesis
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