researching

Guide structured evidence-based research and output a research brief with recommendations.

14|1|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/azat-io/ai-config --skill researching-azat-io
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: researching
Source: https://github.com/azat-io/ai-config/tree/main/skills/researching
Command: npx skills add https://github.com/azat-io/ai-config --skill researching-azat-io

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams move from unclear requirements to clear, evidence-based decisions by structuring research work and surfacing justified options.

Core Features & Use Cases

  • Structured fast and full-track workflows for research decisions.
  • Collects signals from code, docs, and project history to support options.
  • Generates a concise research brief and optional artifacts to inform product direction.

Quick Start

Use this skill when requirements are fuzzy to frame the problem, gather signals, generate options, and produce a recommendation.

Frequently Asked Questions about researching

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

FAQPage Schema
How do I turn fuzzy product requirements into clear research decisions?

To turn fuzzy requirements into clear research decisions, you need to frame the problem, gather signals from code and docs, generate options, and produce a research brief with recommendations. This structured research process surfaces justified options.

What is the best way to structure research for ambiguous architecture decisions?

The best way to structure research for ambiguous architecture decisions is to use a full-track workflow that collects evidence, outlines options, and evaluates risks to output a concise research brief that informs your decision-making.

How does evidence-based research help with requirement clarification?

Evidence-based research helps with requirement clarification by collecting signals from project history and documentation to support multiple interpretations, ensuring your final options are justified rather than based on assumptions.

Can I use a fast track workflow for quick product discovery research?

Yes, you can use a fast track workflow for quick product discovery research. It allows you to rapidly gather signals and generate a concise research brief when you need to move from unclear requirements to actionable recommendations efficiently.

What signals should I collect to support research options and reduce risks?

To support research options and reduce risks, you should collect signals from code, documentation, and project history. These signals form the evidence base that justifies your outlined options and final recommendations.

When should I avoid using structured research workflows for decision-making?

You should avoid using structured research workflows for decision-making when requirements are already clear and unambiguous, as the fast and full-track processes are specifically designed to solve fuzzy requirements by surfacing justified options.