Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Analyzes an agent system's memory, tools, and recent events to detect evolution stagnation. When progress plateaus or tasks keep failing repeatedly, it generates actionable proposals such as new skills to acquire, optimizations to apply, or structural changes to make. Results are sent as a formatted Feishu card report.
Combines stall detection, gap analysis, and proposal generation in one automated step instead of requiring manual system audits between evolution cycles.
When to use it
- Detecting recurring task failures in an autonomous agent loop
- Identifying skill category gaps when an agent stops improving
- Generating new skill suggestions after a stable success plateau
- Sending system health summaries to a Feishu team channel
- Seeding the next evolution cycle with targeted proposals
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'The agent hasn't made progress in several cycles, what should it do next?'
- 1Reads MEMORY.md, TOOLS.md, and RECENT_EVENTS.md to assess current system state
- 2Identifies under-represented skill categories via gap analysis
- 3Detects blocked tasks or repeated failures using stall detection
- 4Generates actionable proposals: new skills, optimizations, structural changes
- 5Sends a rich card report to the specified Feishu user or group
A Feishu card listing prioritized innovation proposals and detected stall points for the agent to act on in the next cycle
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.