Air Conditioner

SkillDev tools

Guides your agent to control an air conditioner sensibly, picking settings like temperature and mode while balancing comfort and energy.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Air Conditioner skill

About this skill

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`.

What this skill tells your AI

The instructions your AI receives, as published by fullive-ai/anima in skills/system/air_conditioner/SKILL.md and read by ahel’s review.

Use this skill for device-level cooling and heating decisions plus preference learning.

Load These Resources

  • references/knowledge.md for comfort temperatures, energy heuristics, and device interaction rules.
  • references/decide.md when generating a single-device action.
  • references/learn.md when updating the learned profile from usage history.
  • scripts/actions.py for 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.

Signals

GitHub stars
1k
Forks
42
Last commit
Aug 2026
Advanced
Item type
skill
Key
air-conditioner
Source
github.com/fullive-ai/anima