research-brief

Research Brief

Generate a comprehensive research design with model-optimized prompts for multi-LLM research.

When to Use

Use this skill when you need to:

• Design a research strategy that leverages multiple AI models
• Decompose complex research questions into MECE sub-questions
• Generate prompts optimized for Claude, Gemini, and GPT strengths
• Plan systematic research with risk assessment

Workflow

Invoke the create-research-brief skill Phase 1 for: "$ARGUMENTS"

Default Parameters

Parameter	Value	Rationale
research_type	market	Default; override based on question
risk_depth	standard	Balanced risk assessment
model_mode	parallel	Run models simultaneously
multi_hypothesis	false	Enable for hypothesis-driven research
expert_panel	false	Enable for strategic decisions

Research Types

Select based on the research question:

• market - Market sizing, trends, demand analysis
• competitive - Competitor analysis, positioning, strategy
• technology - Tech evaluation, build vs buy, capabilities
• strategic - Strategic planning, scenario analysis, options

Model Assignment Strategy

Model	Strength	Best For
Claude Opus 4.5	Judgment, synthesis, nuance	Strategic questions, conflict resolution
Gemini Pro 3	Breadth, citations, grounding	Factual lookup, comprehensive sourcing
GPT-5.2 Deep	Recency, depth, exhaustiveness	Technical details, edge cases

MECE Decomposition

The skill will decompose your research question into 5 categories following the appropriate MECE pattern:

Market Research:

1. Market Size & Growth
2. Market Structure & Segmentation
3. Demand Drivers & Customer Needs
4. Supply & Competition
5. Evolution & Trends

Competitive Intelligence:

1. Product & Capabilities
2. Customers & Positioning
3. Go-to-Market Strategy
4. Organization & Resources
5. Strategy & Trajectory

Technology Evaluation:

1. Capability & Performance
2. Maturity & Ecosystem
3. Fit & Integration
4. Cost & Economics
5. Risk & Governance

Strategic Research:

1. Current State Assessment
2. External Environment
3. Strategic Options
4. Stakeholder Considerations
5. Implementation Requirements

Output Format

The research brief will include:

<research-brief>
  <header>
    <id>[unique identifier]</id>
    <type>[market|competitive|technology|strategic]</type>
    <objective>[research question]</objective>
  </header>

  <mece-decomposition>
    <category name="[Category 1]">
      <question>[Sub-question 1.1]</question>
      <question>[Sub-question 1.2]</question>
    </category>
    <!-- ... more categories ... -->
  </mece-decomposition>

  <model-prompts>
    <prompt model="claude" category="[assigned categories]">
      [Optimized prompt for Claude]
    </prompt>
    <prompt model="gemini" category="[assigned categories]">
      [Optimized prompt for Gemini]
    </prompt>
    <prompt model="gpt" category="[assigned categories]">
      [Optimized prompt for GPT]
    </prompt>
  </model-prompts>

  <risk-assessment depth="[quick|standard|comprehensive]">
    [Risk factors and mitigations]
  </risk-assessment>

  <next-steps>
    1. Execute prompts in each model
    2. Collect responses
    3. Run /consolidate-research with outputs
  </next-steps>
</research-brief>

Quality Gates

• Research objective is clear and answerable
• MECE decomposition has no overlaps or gaps
• Each sub-question is independently researchable
• Model assignments match model strengths
• Prompts are optimized for each model's style
• Risk assessment appropriate to decision stakes