关于
Smart Skill Loading introduces a highly efficient pattern for managing multiple Claude Code skills, preventing context bloat and reducing system prompt overhead by up to 1,400 tokens. By scanning YAML metadata across all available skills and conditionally loading full documentation only for those that match the current task's triggers, it ensures the model receives highly targeted expertise without unnecessary noise. This approach not only saves significant token costs but also improves overall accuracy by 10% through more focused instruction following.
