Is deepinit language-specific?

No, deepinit is language-agnostic. it analyzes file structures and directory names to determine purpose, making it compatible with any type of software project.

How does deepinit handle very large projects?

Deepinit uses a parallelization strategy, spawning multiple 'olympian' agents to process different directory levels and branches simultaneously for maximum efficiency.

Does deepinit overwrite my existing documentation?

No, deepinit features a smart update mode that reads existing files and preserves manual annotations (look for the tag) while merging in new discoveries.

What is an AGENTS.md file?

An AGENTS.md file is a specialized markdown document placed within a directory to provide AI agents with specific context about that directory's purpose, key files, subdirectories, and specific operating instructions.

Can I preview changes before they are applied?

Yes, by using the --dry-run flag, you can see exactly which directories will be processed and which files will be created or updated without any actual writes to your disk.

Deep Codebase Mapper

Name: Deep Codebase Mapper
Author: mikev10

bymikev10

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学习与文档

Generates and maintains a hierarchical network of AGENTS.md files to provide AI agents with structured, context-aware codebase documentation.

The deepinit skill is designed to solve the context window limitations of AI agents by creating a distributed documentation layer throughout your codebase. By recursively indexing every directory and generating descriptive AGENTS.md files, it provides agents with a roadmap of the project's architecture, file purposes, and dependencies. This skill is essential for large-scale projects where agents need to navigate complex directory structures and understand the specific roles of various components without manually exploring every file.

主要功能

01Update-only mode to refresh existing documentation as the codebase evolves

02Smart merging that preserves manual annotations and custom AI instructions

03Parallel processing utilizing sub-agents for rapid large-scale indexing

041 GitHub stars

05Recursive directory analysis and hierarchical documentation generation

06Dry-run capability to preview changes before writing to the filesystem

使用场景

01Providing AI agents with localized context for specific sub-directories

02Automating the generation of structural project documentation

03Optimizing large codebases for multi-agent collaboration and orchestration

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mikev10/olympus deepinit

For use in Claude.ai and ChatGPT