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research

Scan repository content and generate structured research packets for decision-making.

1|Updated Apr 6, 2026
Search Tags:#research#product management#risk assessment#decision-making#repo analysis
One-click install
npx skills add https://github.com/tyroneross/build-loop --skill research-tyroneross
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/tyroneross/build-loop/tree/main/skills/research
Command: npx skills add https://github.com/tyroneross/build-loop --skill research-tyroneross

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, scripts/research_packet.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the research process, providing a structured analysis of a topic, reducing the time and effort required for in-depth exploration and decision-making.

Core Features & Use Cases

  • Repo-Grounded Analysis: Offers an analysis based on repository content, including code, documentation, and metadata.
  • Pre-Decision Packet: Generates a comprehensive packet with risks, best paths, and confidence ratings before implementation.
  • Flexible Modes: Supports quick scans, balanced analysis, and max-accuracy research with detailed verification.
  • Use Case: When considering a new feature, the Skill can provide a detailed analysis to inform the decision-making process.

Quick Start

Run the research skill to generate a research packet for the topic 'new feature implementation'.

Frequently Asked Questions about research

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

FAQPage Schema
How do I conduct repo analysis before implementing a new software feature?▼

You can generate a pre-decision research packet by running the research skill, which scans repository content and classifies tasks. It outputs a comprehensive analysis covering risks, best paths, and confidence ratings to inform product management decisions.

What is repository-grounded research for product management decision-making?▼

Repository-grounded research provides product management decision-making by scanning repository code, documentation, and metadata. It generates a structured research packet containing risk assessment and confidence ratings before implementation.

Can I use Python scripts to scan a repository and assess implementation risks?▼

Yes, Python scripts can scan repository content to classify tasks and assess implementation risks. The scripts generate a structured research packet that includes risk assessment and confidence ratings for decision-making.

Does this research tool support different modes for quick scans versus max-accuracy analysis?▼

Yes, the research tool supports quick scans, balanced analysis, and max-accuracy research modes. These flexible modes allow you to choose the appropriate depth of repository analysis and verification for your decision-making.

What limitations should I consider when using repository analysis for risk assessment?▼

When using repository analysis for risk assessment, limitations include reliance on repository content like code and metadata. The generated research packet provides confidence ratings but requires manual verification for complex decision-making scenarios.

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