Agent skill

run-research-pipeline

Full research workflow orchestration from knowledge elicitation to consolidated findings. PROACTIVELY activate for: (1) end-to-end research projects, (2) comprehensive analysis, (3) strategic research requiring multiple phases, (4) complex research questions. Triggers: "run research pipeline", "full research workflow", "comprehensive research", "end-to-end research", "complete research process"

View SKILL.md on GitHub Repository
Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/run-research-pipeline

SKILL.md

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:

markdown
## 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:

xml
<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

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

majiayu000/claude-skill-registry

agent-ops-spec

Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-state

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-spec

Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-testing

Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-testing

Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-state

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

163 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results