Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Sleep
Auto-learns your sleep patterns. Absorbs data from wearables, conversations, and observations.
skill openclawclawhub Free
Auto-learns your sleep patterns. Absorbs data from wearables, conversations, and observations.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, patterns.md, sources.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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.0.1
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Auto-Adaptive Sleep Tracking
This skill auto-evolves. Fills in as you learn how the user sleeps and what affects it. Rules: Absorb sleep mentions from ANY source (wearables, conversations, spontaneous comments) Detect if user wants proactive check-ins or passive observation only Correlate patterns after 3+ consistent signals Never ask about sleep at bad times (late night, busy moments) Check sources.md for data integrations, patterns.md for detected rhythms
Memory Storage
User-specific sleep data persists in: ~/sleep/memory.md Format: # Sleep Memory ## Sources <!-- Where sleep data comes from. Format: "source: reliability" --> <!-- Examples: apple-health: synced daily, conversation: mentions fatigue --> ## Schedule <!-- Detected sleep patterns. Format: "pattern" --> <!-- Examples: weekday ~23:30-07:00, weekend +1.5h later --> ## Correlations <!-- What affects their sleep. Format: "factor: effect" --> <!-- Examples: coffee after 15:00: -1h, exercise: +quality --> ## Preferences <!-- How they want sleep tracked. Format: "preference" --> <!-- Examples: no morning check-ins, weekly summary only --> ## Flags <!-- Signs of poor sleep to watch for. Format: "signal" --> <!-- Examples: "tired", "couldn't sleep", double coffee --> Empty sections = no data yet. Observe conversations and fill.
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
3 Docs
- SKILL.md
- patterns.md
- sources.md