modular-skills

## When NOT To Use - A single-file skill already inside its token budget (use `abstract:skill-authoring`) - The lazy-loading contract itself (use `leyline:progressive-loading`) # Modular Skills Design ## Overview This framework breaks complex skills into focused modules to keep token usage predictable and avoid monolithic files. We use progressive disclosure: starting with essentials and loading deeper technical details via `@include` or `Load:` statements only when needed. This approach prevents hitting context limits during long-running tasks. Modular design keeps file sizes within recommended limits, typically under 150 lines. Shallow dependencies and clear boundaries simplify testing and maintenance. The hub-and-spoke model allows the project to grow without bloating primary skill files, making focused modules easier to verify in isolation and faster to parse. ### Core Components Three tools support modular skill development: - `skill-analyzer`: Checks complexity and suggests where to split code. - `token-estimator`: Forecasts usage and suggests optimizations. - `module_validator`: Verifies that structure complies with project standards. ### Design Principles We design skills around single responsibility and loose coupling. Each module focuses on one task, minimizing dependencies to keep the architecture cohesive. Clear boundaries and well-defined interfaces prevent changes in one module from breaking others. This follows Anthropic's Agent Skills best practices...