Analyze codebases to generate token-efficient context with signatures and file slices.
npx skills add https://github.com/tfunk1030/vibe --skill repoprompt-tfunk1030
Please help me install this Agent Skill. Skill: repoprompt Source: https://github.com/tfunk1030/vibe/tree/main/.claude/skills/repoprompt Command: npx skills add https://github.com/tfunk1030/vibe --skill repoprompt-tfunk1030
Code exploration in large repositories often incurs high token costs. RepoPrompt provides a token-efficient workflow to reveal project structure, code signatures, and contextual slices without dumping full files, enabling faster, cost-aware analysis.
Use rp-cli to inspect the repository structure and retrieve targeted code slices to build a concise, token-efficient context.
High-intent search queries and answers about installing and using this skill.
To explore a large codebase without exceeding token limits, you can generate token-efficient context by listing code signatures and retrieving selective file slices instead of dumping full file contents.
The best way to extract code signatures for AI context building is to analyze the codebase structure and retrieve targeted slices, producing minimal-context summaries for downstream AI tasks.
Yes, you can inspect specific line ranges of a file to reduce token usage by reading targeted file slices, which allows you to examine relevant portions of code without exposing full contents.
You generate a repository structure summary for codebase exploration by analyzing the project layout to produce tree structures and codemaps, enabling faster and cost-aware analysis.
Yes, this code exploration approach works for locating code across large projects by searching code with context lines and retrieving signatures to identify relevant files efficiently.
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