s0-research

Combine offline code analysis with online research to produce a verified Context Pack.

Updated Feb 4, 2026
One-click install
npx skills add https://github.com/rlaksana/.sharing --skill s0-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: s0-research
Source: https://github.com/rlaksana/.sharing/tree/main/s0-research
Command: npx skills add https://github.com/rlaksana/.sharing --skill s0-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates complex research tasks by combining offline code analysis with online information gathering, ensuring verified and hallucination-resistant outputs.

Core Features & Use Cases

  • Comprehensive Research: Gathers facts from your codebase (offline) and external sources (online).
  • Structured Output: Produces a detailed Context Pack, ideal for complex problem-solving or deep technical research.
  • Use Case: Before implementing a new feature, use this Skill to understand existing code patterns, identify potential conflicts, and gather best practices from external documentation, all synthesized into a single, actionable report.

Quick Start

Research the topic of 'Redis caching implementation details in the current codebase'.

Frequently Asked Questions about s0-research

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

FAQPage Schema
How do I automate code analysis and online research before implementing a new feature?

To automate code analysis and online research, this Skill orchestrates offline codebase evaluation with external information gathering, synthesizing findings into a verified Context Pack to identify patterns and conflicts before feature implementation.

What is a hallucination-resistant Context Pack for deep technical research?

A hallucination-resistant Context Pack is a structured research output that combines verified offline code analysis with online documentation, ensuring factual accuracy and preventing fabricated information during complex problem-solving.

How do I gather external documentation and existing code patterns into a single report?

You can gather external documentation and existing code patterns by running structured research that queries both your codebase and online sources, synthesizing the combined findings into a detailed, actionable Context Pack report.

Does this research orchestrator work offline to analyze existing codebase patterns?

Yes, the research orchestrator performs offline code analysis to evaluate existing codebase patterns, integrating these findings with online research to provide a comprehensive, verified Context Pack for technical problem-solving.

What is the best way to verify technical research and prevent hallucinations in code documentation?

The best way to verify technical research and prevent hallucinations is to use an orchestrator that cross-references offline codebase facts with online sources, producing a synthesized, verified Context Pack for reliable documentation.

Where does the structured research output get saved for complex problem-solving?

The structured research output is saved as a full Context Pack written to the .quint/context.md file, while a summary of the verified findings is printed directly to the terminal for immediate review.