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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill modular-code- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads modular-code automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.py→auth/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.pynotutils2.py) - Keep
__init__.pyfiles 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
FAQ
What does the modular-code skill do?
Modular Code Organization
How do I install modular-code?
Run npx skills add https://github.com/parcadei/continuous-claude-v3 --skill modular-code in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/modular-code/ (personal) or .claude/skills/modular-code/ (project).
Which AI agents can use modular-code?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is modular-code safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains modular-code?
It is published by parcadei in parcadei/continuous-claude-v3. It has 565 recorded installs.
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