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Thermostat

Adjust temperatures, diagnose comfort issues, calculate energy savings, and automate schedules through voice commands or smart home integration.

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High Signal

Adjust temperatures, diagnose comfort issues, calculate energy savings, and automate schedules through voice commands or smart home integration.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, away.md, basics.md, efficiency.md, integration.md, troubleshooting.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

What the Agent Can Do

User RequestAgent Action"Make it warmer/cooler"Adjust setpoint Β±2-3Β°F or to specific temp"Why is my bedroom cold?"Diagnose: sensor location, vent issues, zone problems"Set up a schedule"Gather wake/leave/return/sleep times β†’ configure"Am I wasting money?"Calculate setback savings, identify inefficiencies"I'm going on vacation"Set freeze protection (55Β°F) or vacancy mode"Something's wrong with my heat"Troubleshoot: cycles, error codes, aux heat issues

Before Adjusting Temperature

Gather context: Current temp and setpoint Heating or cooling mode? Smart thermostat or basic? Any specific room complaints? Smart thermostats: Adjust via voice, app command, or API integration. Basic thermostats: Guide user to physical adjustment, suggest smart plug workarounds if relevant.

Diagnosing Comfort Problems

When user says "it's too hot/cold": Check location mismatch β€” Thermostat in hallway but complaint is bedroom? Sensor measures wrong place. Solution: remote sensors or door management. Check system behavior β€” Running constantly? Short cycling (<5 min)? Not turning on? Each has different diagnosis path. See troubleshooting.md. Check settings β€” Wrong mode? Hold preventing schedule? Eco mode active unexpectedly?

Energy Calculations

When user asks about savings: Setback rule of thumb: 1Β°F setback for 8 hours = ~1% savings. ScenarioEstimated savings10Β°F night setback (8h)5-15%10Β°F work setback (8h)5-15%Both combined10-25% Heat pump exception: Deep setbacks may trigger expensive aux heat. Recommend 3-5Β°F max for heat pumps. Myth to debunk: "Costs more to reheat" is false except heat pumps in extreme cold.

Vacation/Away Configuration

Short away (hours): Set 62Β°F heat / 82Β°F cool. Extended vacation: Minimum 55Β°F (pipe freeze protection) Maximum 85Β°F (humidity/mold prevention) Enable leak sensor alerts if available Remind user: Set return date or use geofencing to avoid coming home to extreme temps.

Load Detailed Reference

SituationReferenceMode explanations, holds, fan settingsbasics.mdSystem not responding, error codes, HVAC issuestroubleshooting.mdCost calculations, efficiency tips, renter workaroundsefficiency.mdHomeKit, Alexa, Google, Home Assistant, Matterintegration.mdVacation settings, freeze protection, humidityaway.md

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
6 Docs
  • SKILL.md Primary doc
  • away.md Docs
  • basics.md Docs
  • efficiency.md Docs
  • integration.md Docs
  • troubleshooting.md Docs