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research-workflow

Route research tasks to specialists and produce cited Markdown findings.

11|Updated Jul 2, 2026
Search Tags:#research#workflow orchestration#web research#literature review#code research#source evaluation#cited findings
One-click install
npx skills add https://github.com/romiluz13/auto-pi --skill research-workflow-romiluz13
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-workflow
Source: https://github.com/romiluz13/auto-pi/tree/main/skills/research-workflow
Command: npx skills add https://github.com/romiluz13/auto-pi --skill research-workflow-romiluz13

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents unfocused research by classifying the task, selecting the right investigation approach, and guiding the work toward evidence-backed findings.

Core Features & Use Cases

  • Research Routing: Distinguishes general research, code-focused investigation, and deep multi-source briefs.
  • Specialist Orchestration: Reads and follows the appropriate research specialist for web research, codebase analysis, or comprehensive briefs.
  • Cited Deliverables: Requires a Markdown findings file with sources before reporting completion.
  • Use Case: When you need to investigate an API, compare implementation approaches, or prepare a multi-source market brief, the workflow routes the request to the appropriate specialist and returns traceable findings.

Quick Start

Ask the research workflow to investigate a topic and produce a cited Markdown findings file.

Frequently Asked Questions about research-workflow

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

FAQPage Schema
How do I automate web research to produce cited findings?▼

To produce cited findings from web research, this workflow classifies your task, routes it to an appropriate specialist for investigation, and compiles primary sources into a Markdown file.

What is the best way to structure a literature review with source evaluation?▼

A literature review with source evaluation is best structured by classifying the request as a deep multi-source brief, investigating primary sources, and tracking state to output a cited Markdown findings file.

Can I use this workflow for code research and API documentation investigations?▼

Yes, this workflow supports code research. It distinguishes code-focused investigations from general web research and routes your task to a specialist to analyze codebases or API documentation.

Does the research workflow require a specific format for the final report?▼

Yes, the research workflow requires a Markdown findings file. The workflow mandates artifact-backed state tracking and cited sources within this Markdown file before it reports task completion.

Why do I need task classification before starting a deep multi-source brief?▼

Task classification is required before starting a deep multi-source brief to prevent unfocused research. It ensures the correct investigation approach is selected and guides the work toward evidence-backed findings.

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