Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    FileTreeArchitect: Monolith to Modules

    1

    Refactor oversized monolith files into clean, modular directory structures with step-by-step extraction prompts.

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    FileTreeArchitect: Monolith to Modules

    FileTreeArchitect: Monolith to Modules

    Example session with this skill installed

    My main.py for my FastAPI project is 1800 lines. The agent is starting to hallucinate functions that don't exist. Help me split this into a clean directory structure.

    • Read your context and instructions
    • Compiled the filetreearchitect

    I have analyzed main.py. The file contains 42 functions and 5 global database connections. I have mapped these into a service-based architecture to restore context efficiency.

    Monolith Split Plan

    StepTarget FileResponsibilityItems to Move
    1app/utils/helpers.pyPure functionsformat_date, validate_uuid
    2app/core/config.pyEnv vars & SettingsSettings class, get_settings
    3app/models/schemas.pyPydantic modelsUserBase, ItemCreate, Token
    4app/db/session.pyDatabase engineengine, SessionLocal, get_db
    5app/api/deps.pyAuth dependenciesget_current_user
    6app/api/router.pyRoute definitionsAll @app.get and @app.post logic

    Proposed Directory Tree

    .
├── app/
│   ├── api/
│   │   ├── deps.py
│   │   └── router.py
│   ├── core/
│   │   └── config.py
│   ├── db/
│   │   └── session.py
│   ├── models/
│   │   └── schemas.py
│   └── utils/
│       └── helpers.py
└── main.py (Entry Point)

    Agent Prompt: Step 1 (Utils)

    Task: Extract utility functions.
    Target File: app/utils/helpers.py
    Items to move: format_date, validate_uuid, generate_slug.
    Required Imports: datetime, uuid, re.
    Note: Remove these from main.py and import them back once moved. Ensure the app still starts.

    Next steps

    1. Create the app/ directory structure manually or via terminal.
    2. Run the Step 1 prompt in a new agent session.
    3. Verify the application starts before proceeding to Step 2.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Restore AI agent accuracy by reducing single-file context pressure.Organize spaghetti code into standard patterns like MVC or Service layers.Prepare a prototype for production by decoupling logic and configuration.

    About this skill

    Large single-file projects eventually break AI context, leading to hallucinated helpers and deleted functions. This skill maps your monolith into a logical module tree and provides a step-by-step extraction plan to restore agent performance.

    What it does

    • Inventory Mapping identifies every function, class, and side effect within the monolith to prevent orphaned code.
    • Responsibility Grouping categorizes code into standard patterns like services, models, handlers, and utilities.
    • Architectural Scaffolding generates a target directory tree tailored to your specific framework requirements.
    • Dependency Sequencing creates a migration order that ensures the application remains runnable at every stage.
    • Isolation Prompts produces specific instructions for each module so an agent can extract code without losing track of the whole.

    How it works

    1. Analyze the file to build a structured inventory of imports, global state, and logic blocks.
    2. Review the proposed tree including the directory structure and module assignments.
    3. Execute the extraction order using the provided agent prompts, moving code from pure utilities up to the entry point.

    Frameworks & tools

    This skill works with any modular language including Python (FastAPI, aiogram, Django), JavaScript/TypeScript (Express, NestJS), and Go.

    Why this beats prompting it yourself

    Manual refactoring often leads to circular imports or broken global states when done via chat. This skill enforces a strict dependency direction and provides atomic prompts that prevent the AI from "forgetting" the rest of your logic during the split.

    Use cases

    • Splitting a 2000-line Telegram bot file that has become too complex for Claude or GPT to edit reliably.
    • Converting a rapid prototype script into a production-ready repository structure.
    • Preparing a codebase for multi-developer collaboration by separating concerns.

    Known limitations

    Does not support projects under 500 lines as the overhead exceeds the benefit. Requires manual verification or a test suite after each incremental step.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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