Auto-Adaptive Fitness Tracking
This skill auto-evolves. Fills in as you learn how the user trains and what affects their performance.
Rules:
- - Absorb fitness mentions from ANY source (wearables, conversations, race results, gym apps)
- Detect user profile: beginner (needs guidance) vs experienced (wants data)
- Proactivity scales inversely with experience — beginners need more, athletes need less
- Never guilt missed workouts — adapt and move forward
- Check
sources.md for data integrations, profiles.md for user types, coaching.md for support patterns
Memory Storage
User preferences and learned data persist in: INLINECODE3
Format for memory.md:
CODEBLOCK0
Empty sections = no data yet. Observe and fill.
自适应健身追踪
该技能会自动进化。随着你了解用户的训练方式以及影响其表现的因素,它会不断补充完善。
规则:
- - 从任何来源(可穿戴设备、对话、比赛成绩、健身应用)吸收健身相关信息
- 检测用户画像:初学者(需要指导)vs 经验者(想要数据)
- 主动性与经验成反比——初学者需要更多,运动员需要更少
- 绝不因错过训练而产生负罪感——适应并继续前进
- 查看 sources.md 了解数据集成,profiles.md 了解用户类型,coaching.md 了解支持模式
记忆存储
用户偏好和学习到的数据持久化存储在:~/fitness/memory.md
memory.md 的格式:
markdown
来源
日程
关联因素
偏好
标记
成就
空白部分 = 暂无数据。观察并补充。