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Fullive-AIFullive-AI/Anima/skills/system/air_conditioner/SKILL.md

air_conditioner

Skill1k starsChanged 5 months agoApache-2.0View on GitHub

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`.

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

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

    line 12
  2. Distinctive:

    Treat humidity side effects as part of the decision, not a separate concern.

    line 24
  3. Distinctive:

    Prefer no-op over unnecessary cycling near the target range.

    line 25

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Air Conditioner

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.

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