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Modular Code Skill for Claude

Modular Code Organization

732 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
3880
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill modular-code

The instruction itself

11 sections, as written by the author

Modular Code Organization

Write modular Python code with files sized for maintainability and AI-assisted development.

File Size Guidelines

| Lines | Status | Action |

|-------|--------|--------|

| 150-500 | Optimal | Sweet spot for AI code editors and human comprehension |

| 500-1000 | Large | Look for natural split points |

| 1000-2000 | Too large | Refactor into focused modules |

| 2000+ | Critical | Must split - causes tooling issues and cognitive overload |

When to Split

Split when ANY of these apply:

  • File exceeds 500 lines
  • Multiple unrelated concerns in same file
  • Scroll fatigue finding functions
  • Tests for the file are hard to organize
  • AI tools truncate or miss context

How to Split

Natural Split Points

  • By domain concept: auth.pyauth/login.py, auth/tokens.py, auth/permissions.py
  • By abstraction layer: Separate interface from implementation
  • By data type: Group operations on related data structures
  • By I/O boundary: Isolate database, API, file operations

Package Structure

feature/
├── __init__.py      # Keep minimal, just exports
├── core.py          # Main logic (under 500 lines)
├── models.py        # Data structures
├── handlers.py      # I/O and side effects
└── utils.py         # Pure helper functions

DO

  • Use meaningful module names (data_storage.py not utils2.py)
  • Keep __init__.py files minimal or empty
  • Group related functions together
  • Isolate pure functions from side effects
  • Use snake_case for module names

DON'T

  • Split files arbitrarily by line count alone
  • Create single-function modules
  • Over-modularize into "package hell"
  • Use dots or special characters in module names
  • Hide dependencies with "magic" imports

Refactoring Large Files

When splitting an existing large file:

  • Identify clusters: Find groups of related functions
  • Extract incrementally: Move one cluster at a time
  • Update imports: Fix all import statements
  • Run tests: Verify nothing broke after each move
  • Document: Update any references to old locations

Current Codebase Candidates

Files over 2000 lines that need attention:

  • Math compute modules (scipy, mpmath, numpy) - domain-specific, may be acceptable
  • patterns.py - consider splitting by pattern type
  • memory_backfill.py - consider splitting by operation type

Sources

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How to use it

Copy the folder

Take parcadei/modular-code from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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