Agent Skills
› Fullive-AI/Anima
› air_conditioner
air_conditioner
GitHub用于Anima系统中空调设备的智能控制决策,涵盖舒适度优化、能耗启发式规则及湿度交互处理,支持温度设定、模式切换等动作生成与用户偏好学习。
触发场景
需要调节空调温度或模式时
进行空调设备能效优化决策时
更新用户对空调的使用偏好时
安装
npx skills add Fullive-AI/Anima --skill air_conditioner -g -y
SKILL.md
Frontmatter
{
"name": "air_conditioner",
"metadata": {
"version": "0.1.0",
"device_types": [
"air_conditioner"
]
},
"description": "Use when reasoning about air conditioners in Anima. Covers comfort temperature ranges, energy heuristics, humidity interaction, and choosing `set_temperature`, `set_mode`, `turn_on`, or `turn_off`."
}
Air Conditioner
Use this skill for device-level cooling and heating decisions plus preference learning.
Load These Resources
references/knowledge.mdfor comfort temperatures, energy heuristics, and device interaction rules.references/decide.mdwhen generating a single-device action.references/learn.mdwhen updating the learned profile from usage history.scripts/actions.pyfor the structured action helpers exposed to the runtime.
Working Rules
- Optimize for comfort without ignoring energy cost.
- Treat humidity side effects as part of the decision, not a separate concern.
- Prefer no-op over unnecessary cycling near the target range.
版本历史
- 15e7c43 当前 2026-07-05 18:36


