The author shares practical constraints and formatting tips， such as using third-person descriptions and negative examples， to improve the reliability of Claude Skill activation.
📝 详细摘要
This post explores the technical challenges of 'routing' in AI Skills， emphasizing that a well-crafted prompt is ineffective if the model cannot reliably trigger it. The author provides several actionable insights: keeping SKILL.md files concise， using negative examples to prevent false activations， centralizing all skills in CLAUDE.md， and limiting descriptions to 1024 characters. A key takeaway is writing descriptions in the third person—starting with a capability statement followed by the trigger condition—rather than using imperative language， which significantly enhances routing performance as recommended by official documentation.
📊 文章信息
AI 评分：86
来源：Tw93(@HiTw93)
作者：Tw93
分类：人工智能
语言：英文
阅读时间：5 分钟
字数：1038
标签： Claude, AI Skills, Prompt Engineering, LLM Routing, MCP