research-pipeline

Coordinate multi-agent research workflows across a 5-phase pipeline with artifact storage.

415|44|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/notque/claude-code-toolkit --skill research-pipeline-notque
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-pipeline
Source: https://github.com/notque/claude-code-toolkit/tree/main/skills/research-pipeline
Command: npx skills add https://github.com/notque/claude-code-toolkit --skill research-pipeline-notque

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Formalize a structured, multi-phase research workflow that yields citable, resumable artifacts while enforcing artifact saving and quality gates at each phase.

Core Features & Use Cases

  • 5-phase pipeline: SCOPE → GATHER → SYNTHESIZE → VALIDATE → DELIVER with artifact tracking.
  • Parallel first-class agents: Dispatches multiple subagents to gather diverse perspectives simultaneously.
  • Artifact-centric output: All findings and reports are saved under research/{topic}/ for future reference.
  • Use Case: Ideal for rigorous literature reviews, product research, or technical investigations needing verifiable artifacts.

Quick Start

Define a scoped research topic and run Phase 1 to outline the plan for reproducible artifacts.

Frequently Asked Questions about research-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a structured literature review with verifiable artifacts?

A multi-phase research workflow solves this by coordinating parallel agents to gather diverse perspectives, synthesizing findings, and enforcing validation gates to deliver resumable, artifact-driven outputs.

How do I orchestrate parallel agents for product research and synthesis?

You orchestrate parallel agents by dispatching multiple subagents simultaneously during the data collection phase, enabling diverse perspective gathering before synthesis and validation.

What is the best way to store resumable research artifacts for technical investigations?

Store resumable research artifacts by enforcing artifact saving at each pipeline phase, automatically writing all findings and reports under a structured research/{topic}/ directory for future reference.

Does this research workflow support configurable depth and source controls?

Yes, the research workflow supports configurable depth and source controls, allowing you to adjust the rigor of parallel data collection and validation to suit structured technical investigations.

When do I need a 5-phase validation pipeline for research documentation?

You need a 5-phase validation pipeline when conducting rigorous research requiring formal scoping, parallel data collection, synthesis, and quality gate enforcement to ensure verifiable, artifact-driven outputs.