Showing 2 open source projects for "directory tree"

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    Code2Prompt

    Code2Prompt

    Convert codebases into structured prompts optimized for LLM analysis

    code2prompt is an open source command line tool designed to convert an entire codebase into a structured prompt that can be easily used with large language models. It analyzes a project directory, gathers relevant source files, and formats them into a single prompt that includes the source tree and code content. This approach helps developers quickly provide full project context to AI models without manually copying files or assembling prompts. code2prompt is built in Rust and focuses on performance, enabling fast traversal of large repositories while maintaining low resource usage. ...
    Downloads: 5 This Week
    Last Update:
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  • 2
    unlazy

    unlazy

    Anti-laziness skill for AI agents. Core: the Depth Tree method

    unlazy is an AI-agent skill designed to enforce disciplined completion and verification on substantial tasks. It requires agents to define acceptance gates before claiming that work is finished. Each gate can specify a command, expected result, working directory, and recorded evidence. A bundled checker validates the ledger, runs approved checks, and can reverify previously completed work. The workflow emphasizes reviewing returned work and reporting only conclusions supported by verifiable...
    Downloads: 2 This Week
    Last Update:
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