LaunchKit · 2026
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capabilityevolver1037

A self-evolution engine for AI agents.

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by @opencloseopenclose

Setup & Installation

openclaw skills install @opencloseopenclose/capabilityevolver1037

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install capabilityevolver1037

What This Skill Does

A meta-skill that lets OpenClaw agents inspect their own runtime history, detect failures, and autonomously write patches or generate new skills. Includes a continuous self-healing loop mode and a structured knowledge accumulation system called Ascension Protocol.

Instead of manually reviewing logs and patching agent code, the evolver closes the feedback loop autonomously without requiring a separate monitoring stack.

When to use it

  • Automatically patching a crashed agent after a failed run
  • Extracting recurring error patterns into a persistent knowledge base
  • Generating a new skill file to handle a gap discovered at runtime
  • Running a continuous self-healing loop overnight on an unstable agent
  • Auditing agent history to surface inefficiencies before a production deploy

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User runs: node skills/capability-evolver/index.js

AGENT
  1. 1Scans memory and history files for errors, crashes, and user corrections
  2. 2Classifies each finding as fixable code, a learnable rule, or a critical doc update
  3. 3Writes patches to broken skill files or generates new skill stubs in skills/
  4. 4Crystallizes extracted lessons into memory/KNOWLEDGE_BASE/LESSONS_LEARNED.md
  5. 5Commits all changes to Git via workspace sync
OUTPUT

Updated skill files, a populated LESSONS_LEARNED.md, and a Git commit capturing all autonomous changes