cs-explore

Automate targeted code exploration sessions and record evidence-based conclusions as Markdown artifacts.

1.1k|82|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/liuzhengdongfortest/CodeStable --skill cs-explore
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cs-explore
Source: https://github.com/liuzhengdongfortest/CodeStable/tree/main/cs-explore
Command: npx skills add https://github.com/liuzhengdongfortest/CodeStable --skill cs-explore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates converting a focused code-reading session into retrievable, evidence-based documentation, ensuring insights are preserved for future reuse.

Core Features & Use Cases

  • Conduct targeted explorations (question / module-overview / spike) and store results as structured evidence.
  • Enforce a phase-driven workflow that links observations to artifacts and future actions.
  • Ideal for onboarding, module familiarity, design analysis, and issue investigation.

Quick Start

Use the cs-explore skill to begin an exploration and produce a traceable evidence artifact.

Frequently Asked Questions about cs-explore

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

FAQPage Schema
How do I document code exploration sessions with evidence-based conclusions?

You can document code exploration by automating targeted sessions that record evidence-based conclusions. This produces structured Markdown artifacts with frontmatter, capturing observations and future actions for later reuse.

What is the best way to create module overview documentation for onboarding new developers?

Creating module overview documentation is best handled by automating targeted code exploration sessions. This produces structured evidence artifacts that capture module familiarity insights, ensuring new developers can retrieve preserved knowledge.

How do I conduct a spike investigation and trace observations to future actions?

To conduct a spike investigation, you apply a phased evidence collection workflow that links observations to artifacts. This records traceable conclusions and future actions, converting focused code reading into retrievable documentation.

Can I export code analysis artifacts as Markdown for issue investigation?

Yes, you can export code analysis artifacts as Markdown-backed documents. The workflow enforces structured frontmatter and phased evidence collection, producing question, module-overview, and spike documents for issue investigation.

Does this code analysis approach work for feature analysis and design investigation?

Yes, this code analysis approach works for feature analysis and design investigation. It automates focused code-reading sessions, applies phased evidence collection, and stores structured conclusions as retrievable artifacts.