Run Research Pipeline

Execute a complete research workflow from problem definition through consolidated findings.

When to Use

Use this skill when you need:

• End-to-end research on a complex topic
• Structured progression through all research phases
• Multi-LLM research design and synthesis
• Comprehensive analysis with quality gates at each phase

Pipeline Overview

┌─────────────────────────────────────────────────────────────┐
│                    RESEARCH PIPELINE                         │
├─────────────────────────────────────────────────────────────┤
│                                                              │
│  Phase 1: ELICITATION                                       │
│  ┌─────────────────────┐                                    │
│  │ research-interview  │ → PROBLEM-STATEMENT                │
│  └─────────────────────┘                                    │
│            ↓                                                 │
│  Phase 2: DESIGN                                            │
│  ┌─────────────────────┐                                    │
│  │ research-brief      │ → Model-optimized prompts          │
│  └─────────────────────┘                                    │
│            ↓                                                 │
│  Phase 3: EXECUTION (User)                                  │
│  ┌─────────────────────┐                                    │
│  │ Run prompts in      │ → Raw model outputs                │
│  │ Claude, Gemini, GPT │                                    │
│  └─────────────────────┘                                    │
│            ↓                                                 │
│  Phase 4: SYNTHESIS                                         │
│  ┌─────────────────────┐                                    │
│  │ consolidate-research│ → CONSOLIDATED-REPORT              │
│  └─────────────────────┘                                    │
│                                                              │
└─────────────────────────────────────────────────────────────┘

Workflow

Execute complete research pipeline for: "$ARGUMENTS"

Phase 1: Knowledge Elicitation

Run research-interviewer to produce PROBLEM-STATEMENT:

Objective: Define the research question clearly with:

• Core question and sub-questions
• Key constraints and assumptions
• Success criteria
• Known information vs gaps

Output: <problem-statement> artifact with confidence scores

Quality Gate:

• [ ] Research question is specific and answerable
• [ ] Assumptions surfaced and examined
• [ ] Scope boundaries defined
• [ ] Success criteria measurable

Phase 2: Research Design

Run create-research-brief Phase 1 to generate:

Objective: Design multi-LLM research strategy with:

• MECE question decomposition (5 categories)
• Model-optimized prompts for Claude, Gemini, GPT
• Risk assessment for the research approach

Model Assignment Strategy:

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

Output: <research-brief> with prompts for each model

Quality Gate:

• [ ] MECE decomposition complete (no overlaps/gaps)
• [ ] Each sub-question independently researchable
• [ ] Model assignments match model strengths
• [ ] Prompts optimized for each model's style

Phase 3: User Executes Prompts

PAUSE POINT - Display prompts for user to execute:

## Ready for Multi-Model Research

Execute the following prompts in each model:

### Claude (Opus 4.5)
[Display Claude prompt]

### Gemini (Pro 3)
[Display Gemini prompt]

### GPT (5.2 Deep)
[Display GPT prompt]

---

**Instructions:**
1. Copy each prompt to its designated model
2. Collect the responses
3. Paste all responses back here to continue to Phase 4

Wait for user to provide model outputs before continuing.

Phase 4: Consolidation

Run create-research-brief Phase 2 to synthesize:

Objective: Produce unified findings with:

• Evidence scoring (5-point scale)
• Conflict resolution (WWHTBT protocol)
• Uncertainty classification
• MECE coverage audit

Output: <consolidated-report> with:

• Executive summary
• Findings by category with evidence scores
• Conflicts resolved and rationale
• Remaining gaps and recommendations

Quality Gate:

• [ ] All model outputs incorporated
• [ ] Evidence scores assigned
• [ ] Conflicts explicitly resolved
• [ ] Actionable recommendations provided

Output Format

Final pipeline output includes all artifacts:

<research-pipeline-output>
  <metadata>
    <topic>$ARGUMENTS</topic>
    <pipeline_id>[unique identifier]</pipeline_id>
    <completed_phases>[1,2,3,4]</completed_phases>
  </metadata>

  <phase-1-output>
    <problem-statement>...</problem-statement>
  </phase-1-output>

  <phase-2-output>
    <research-brief>...</research-brief>
  </phase-2-output>

  <phase-3-inputs>
    <model-response model="claude">...</model-response>
    <model-response model="gemini">...</model-response>
    <model-response model="gpt">...</model-response>
  </phase-3-inputs>

  <phase-4-output>
    <consolidated-report>...</consolidated-report>
  </phase-4-output>

  <next-steps>
    [Recommended follow-up actions]
  </next-steps>
</research-pipeline-output>

Quality Gates (Pipeline-Level)

• [ ] All four phases completed
• [ ] Each phase passed its quality gates
• [ ] Artifacts linked and traceable
• [ ] Final recommendations actionable
• [ ] Confidence levels appropriate for decision-making

Post-Pipeline Options

After completing the research pipeline:

| If you need to... | Use skill... | |-------------------|--------------| | Evaluate options from findings | /compare-options | | Get expert validation | /run-expert-panel | | Document the methodology | /write-reference | | Create implementation guide | /write-howto | | Optimize follow-up prompts | /optimize-prompt |