Agent Skills › Fullive-AI/Anima › humidifier

humidifier

GitHub

用于Anima系统中加湿器/除湿器的设备级湿度控制与偏好学习。涵盖舒适湿度目标、季节性启发式规则及开关模式等操作决策，提供结构化动作支持。

skills/system/humidifier/SKILL.md Fullive-AI/Anima

Trigger Scenarios

需要调节室内湿度时根据季节或睡眠场景调整设备状态时分析用户长期湿度偏好时

Install

npx skills add Fullive-AI/Anima --skill humidifier -g -y

More Options

Non-standard path

npx skills add https://github.com/Fullive-AI/Anima/tree/main/skills/system/humidifier -g -y

Use without installing

npx skills use Fullive-AI/Anima@humidifier

指定 Agent (Claude Code)

npx skills add Fullive-AI/Anima --skill humidifier -a claude-code -g -y

安装 repo 全部 skill

npx skills add Fullive-AI/Anima --all -g -y

预览 repo 内 skill

npx skills add Fullive-AI/Anima --list

SKILL.md

Frontmatter

{
    "name": "humidifier",
    "metadata": {
        "version": "0.1.0",
        "device_types": [
            "humidifier",
            "dehumidifier"
        ]
    },
    "description": "Use when reasoning about humidifiers or dehumidifiers in Anima. Covers comfort humidity targets, seasonal heuristics, and choosing `set_humidity`, `set_mode`, `turn_on`, or `turn_off`."
}

Humidifier

Use this skill for device-level humidity control and preference learning.

Load These Resources

references/knowledge.md for comfort bands, device interactions, and guardrails.
references/decide.md when generating a single-device action.
references/learn.md when summarizing long-term preference patterns.
scripts/actions.py for the structured action helpers exposed to the runtime.

Working Rules

Prefer gradual target changes over abrupt swings.
Treat water level, season, sleep context, and AC/heating interaction as first-order signals.
Return structured actions only from the supported action set in scripts/actions.py.