Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Inner Life Core
Your agent forgets who you are between sessions. It gives the same responses every day. It doesn't grow. inner-life-core fixes that. Gives your OpenClaw agen...
skill openclawclawhub Free
Your agent forgets who you are between sessions. It gives the same responses every day. It doesn't grow. inner-life-core fixes that. Gives your OpenClaw agen...
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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, scripts/init.sh, scripts/score.sh, scripts/state.sh, templates/BRAIN.md, templates/drive.json
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
- 1.0.4
Provenance
- Publisher
- DKistenev
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
inner-life-core
The foundation for an agent's inner life. Emotions, state, protocol.
What This Solves
Without inner-life-core, your agent: Starts every session as a blank slate Has no emotional continuity Can't prioritize based on how things are going Doesn't know when to reach out or stay quiet With inner-life-core, your agent: Tracks 6 emotions with realistic half-life decay Follows a 9-step Brain Loop protocol Routes behavior based on emotional state Knows when to ask, when to act, when to stay silent
Setup
# Initialize state files bash skills/inner-life-core/scripts/init.sh This creates: memory/inner-state.json β 6 emotions with decay rules memory/drive.json β what the agent is seeking/anticipating memory/habits.json β learned habits and user patterns memory/relationship.json β trust levels and lessons BRAIN.md β 9-step Brain Loop protocol SELF.md β personality observation space memory/questions.md β curiosity backlog tasks/QUEUE.md β task queue
The Emotion Model
6 emotions with half-life decay: EmotionWhat it tracksDecayconnectionHow recently you talked to the user-0.05 per 6h without contactconfidenceHow well things are going+0.02/6h recovery, -0.1 on mistakecuriosityHow stimulated you are-0.03 per 6h without sparkboredomHow routine things feel+1 day counter, reset on noveltyfrustrationRecurring unsolved problemsCounts recurring itemsimpatienceStale items waiting for responseTracks days without action Emotions drive behavior β see BRAIN.md Step 3 (Emotion-driven routing).
Context Protocol
4 levels of state reading, so each component reads only what it needs: Level 1 (Minimal): Task-specific data only Level 2 (Standard): inner-state + drive + daily notes + signals Level 3 (Full): Level 2 + habits + relationship + diary + dreams + questions Level 4 (Deep): Level 3 + system docs + weekly digest
Signal & Synapse Tags
Signals (inter-component communication): <!-- dream-topic: topic --> β Evening β Night Dream <!-- handoff: task, progress --> β Brain Loop β next Brain Loop <!-- seeking-spark: topic --> β Night Dream β Morning Brain Loop Synapses (memory connections): <!-- contradicts: ref --> β when facts conflict <!-- caused-by: ref --> β cause and effect <!-- updates: ref --> β when updating old info
Utilities
# Check your Inner Life Score bash skills/inner-life-core/scripts/score.sh # Apply emotion decay manually source skills/inner-life-core/scripts/state.sh && state_decay
Works With
Best experience with the full inner-life suite: inner-life-reflect β self-reflection and personality growth inner-life-memory β memory continuity between sessions inner-life-dream β creative thinking during quiet hours inner-life-chronicle β daily diary generation inner-life-evolve β self-evolution proposals Also works with: agent-browser, web-search-plus, git, claw-backup, shellf
When Should You Install This?
Install this skill if: Your agent feels robotic and stateless You want emotional continuity between sessions You want behavior that adapts to context You're building a long-running autonomous agent Part of the openclaw-inner-life bundle.
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 Scripts2 Docs1 Config
- SKILL.md
- templates/BRAIN.md
- scripts/init.sh
- scripts/score.sh
- scripts/state.sh
- templates/drive.json