modular-skills
CommunityDesign modular AI skills for efficiency and maintainability.
Software Engineering#architecture#workflow automation#design patterns#maintainability#modularity#token optimization#ai skill
Authorathola
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Large, monolithic AI skills can lead to unpredictable token usage and become difficult to maintain. This skill provides a systematic approach to designing modular Superpowers skills, ensuring predictable token usage and a maintainable architecture.
Core Features & Use Cases
- Scope Evaluation: Analyzes skill complexity, theme coverage, and token footprint to suggest modularization.
- Hub-and-Spoke Design: Guides on creating a primary hub skill with optional submodules.
- Progressive Disclosure: Structures content from metadata to detailed workflows and executable tools.
- Tool Integration: Provides guidelines for creating executable, self-contained automation scripts.
- Use Case: Refactor a large
development-workflowskill into smaller, focused modules likegit-workflow,code-review, andtesting, reducing token usage for common operations and improving maintainability.
Quick Start
Use skill-analyzer --path path/to/skill to assess your skill's complexity and identify modularization opportunities.
Dependency Matrix
Required Modules
None requiredComponents
examplestools
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: modular-skills Download link: https://github.com/athola/claudenomicon/archive/main.zip#modular-skills Please download this .zip file, extract it, and install it in the .claude/skills/ directory.