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cocosearch-explore

Answer codebase questions by tracing data flows and architecture.

37|6|Updated Feb 16, 2026
Search Tags:#codebase#interactive#exploration#ai-assistant#codeflow#cocosearch
One-click install
npx skills add https://github.com/VioletCranberry/coco-search --skill cocosearch-explore
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cocosearch-explore
Source: https://github.com/VioletCranberry/coco-search/tree/main/skills/cocosearch-explore
Command: npx skills add https://github.com/VioletCranberry/coco-search --skill cocosearch-explore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codebase exploration can be time-consuming; cocosearch-explore provides rapid, structured insights by answering how code works, tracing data flows, and researching topics across a repository.

Core Features & Use Cases

  • Autonomous mode for non-interactive, plan-oriented exploration with structured output suitable for subagents.
  • Interactive mode with narrative checkpoints and guided explanations for direct user questions like "how does X work?"
  • Use cases include onboarding to a new project, debugging by tracing execution, and researching architecture or design decisions.

Quick Start

Ask a concrete question about the codebase to trigger an autonomous exploration or an interactive walkthrough.

Frequently Asked Questions about cocosearch-explore

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

FAQPage Schema
How do I explore a codebase to understand how the code works?▼

Codebase exploration for onboarding is handled by asking a concrete question about the repository to trigger a guided AI walkthrough. It provides narrative checkpoints and structured explanations to accelerate your understanding of how the code works.

Can I trace data flows and execution paths across a repository?▼

Tracing data flows and execution paths across a repository is supported for debugging and architecture research. Ask a concrete question about the codebase to trigger an exploration that maps how the code behaves.

Does codebase exploration support autonomous plan-mode workflows?▼

Autonomous plan-mode workflows are supported for non-interactive, plan-oriented codebase exploration. This mode generates structured output suitable for subagents without requiring direct user interaction during the process.

What is the best way to research architecture and design decisions in a new project?▼

Researching architecture and design decisions in a new project is best done using interactive codebase exploration with guided AI. It offers narrative checkpoints and structured explanations to help you understand design decisions across the repository.

When should I use interactive mode versus autonomous mode for repository exploration?▼

Use interactive mode for direct user questions with narrative checkpoints, and autonomous mode for non-interactive, plan-oriented exploration. Interactive is ideal for guided onboarding, while autonomous mode provides structured output for subagents.

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