repoprompt

Render code trees, search with context, and extract signatures via RepoPrompt CLI.

3.9k|296|Updated Dec 23, 2025
One-click install
npx skills add https://github.com/parcadei/Continuous-Claude --skill repoprompt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: repoprompt
Source: https://github.com/parcadei/Continuous-Claude/tree/main/.claude/skills/repoprompt
Command: npx skills add https://github.com/parcadei/Continuous-Claude --skill repoprompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you explore codebases efficiently with RepoPrompt, minimizing token usage.

Core Features & Use Cases

  • Context-building: Builds codebase maps without reading full files.
  • Search with context: Skip full reads using codemaps/scans.
  • Use Case: Quickly map a large repo for planning.

Quick Start

uv run python -m runtime.harness scripts/repoprompt.py --workspace "MyProject"

Frequently Asked Questions about repoprompt

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

FAQPage Schema
How do I explore a large codebase without reading every file?

Token-efficient codebase exploration uses tree rendering and code search with context to map structure and locate patterns. RepoPrompt CLI provides signature extraction and selective line-range reads, letting you navigate projects and assemble contextual artifacts without full file reads, minimizing token usage while building comprehensive codebase maps.

What's the best way to search code patterns across a project quickly?

Search with context retrieves code matches alongside surrounding code without requiring full file reads. RepoPrompt's context-rich search commands return focused results, enabling rapid pattern location and relevance assessment across large repositories while controlling token expenditure.

Can I get function signatures and structure without reading full source files?

Yes. Signature extraction commands return function definitions, class structures, and method signatures only, bypassing full file content. This lets you understand API surfaces, dependencies, and module organization with minimal token cost when planning or refactoring.

How do I assemble context for code analysis tasks while staying token-efficient?

RepoPrompt combines tree rendering for structure, search with context for pattern discovery, and selective line reads for targeted inspection. This workflow lets you build focused contextual artifacts—combining structure, signatures, and specific code ranges—without loading entire files or bloating token counts.

Does codebase exploration work for navigating project structure before refactoring?

Yes. Tree rendering, code search, and signature extraction are designed for mapping project layouts and locating relevant code patterns before large changes. This approach lets you plan refactors and feature work with full structural visibility while keeping token usage low.

What's the limitation of token-efficient exploration compared to reading full files?

Token-efficient tools prioritize structure, signatures, and context-rich snippets over complete file content. For tasks requiring deep analysis of implementation details, you may need selective full reads of specific line ranges, which RepoPrompt supports alongside its efficient commands.