Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Inner Life Evolve
Your agent does the same things the same way forever. inner-life-evolve analyzes patterns, challenges assumptions, and proposes improvements — writing propos...
skill openclawclawhub Free
Your agent does the same things the same way forever. inner-life-evolve analyzes patterns, challenges assumptions, and proposes improvements — writing propos...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Known item issue.
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Quick setup
- Open the source page and confirm the package flow manually.
- Review SKILL.md if you can obtain the files.
- Treat this source as manual setup until the download is verified.
Package facts
- Download mode
- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Open the source listing and confirm there is a real package or setup artifact available.
- Review SKILL.md before asking your agent to continue.
- Treat this source as manual setup until the upstream download flow is fixed.
Install with your agent
Agent handoff
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
- Open the source page via Open source listing.
- If you can obtain the package, extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the source page and extracted files.
New install
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
Upgrade existing
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
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-evolve
Evolution is not optional. But it requires permission. Requires: inner-life-core
Prerequisites Check
Before using this skill, verify that inner-life-core has been initialized: Check that memory/inner-state.json exists Check that BRAIN.md exists Check that tasks/QUEUE.md exists If any are missing, tell the user: "inner-life-core is not initialized. Install it with clawhub install inner-life-core and run bash skills/inner-life-core/scripts/init.sh." Do not proceed without these files.
What This Solves
Without evolution, agents plateau. They find a way that works and repeat it forever — even as the world changes. inner-life-evolve analyzes your agent's patterns, challenges its assumptions, and writes concrete improvement proposals. But it never auto-executes — you approve first.
Step 1: Deep Context Read (Context Level 4)
Read everything: AGENTS.md, TOOLS.md, BRAIN.md, SELF.md memory/week-digest.md (NOT individual diaries — use digest) memory/habits.json — habits + user patterns memory/drive.json — seeking, avoidance memory/relationship.json — trust, lessons memory/inner-state.json — emotions, frustrations
Step 2: Challenge Assumptions
For each potential improvement, structure thinking: Assumption: [what we currently believe/do] Is it true? [evidence for/against] What if false? [alternative approach] New proposal: [concrete change] Look for: Recurring frustrations → systemic solutions (not patches) Stale habits → habits with declining strength or unused for weeks Trust dynamics → areas where trust has grown but behavior hasn't adapted Seeking themes → research interests that could become capabilities Avoidance patterns → things the agent avoids that might be valuable
Step 3: Write Proposals to QUEUE
- Write proposals to tasks/QUEUE.md under the Ready section:
- [EVOLVER] Description of proposed change
- Rationale: 1-2 sentences explaining why
- Steps: concrete implementation steps
Step 4: Announce
Send summary to user: <= 5 sentences covering: Habits: [strong habits, new patterns] Trust changes: [trust dynamics] Recurring frustrations: [repeated problems → suggested fix] Seeking themes: [active research → suggested development]
Safety Rules
Never auto-execute proposals — user approves first Brain Loop reads QUEUE and shows [EVOLVER] tasks at lower priority Tasks in Ready > 7 days without action → Brain Loop sends reminder Proposals should be specific and actionable, not vague "improve X"
Recommended Schedule
Run 1-2 times per week (e.g., Wednesday and Sunday evenings). Needs enough data to analyze — running daily produces low-quality proposals.
State Integration
Reads: everything (Context Level 4 Deep) Writes: tasks/QUEUE.md only. Does NOT write to state files directly. The evolver observes but doesn't touch the controls. It proposes. The user decides.
When Should You Install This?
Install this skill if: Your agent has plateaued and isn't improving You want structured self-improvement proposals You value evolution with human oversight You want your agent to challenge its own assumptions Part of the openclaw-inner-life bundle. Requires: inner-life-core
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
1 Docs
- SKILL.md