Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Curiosity Engine reshapes how an agent reasons at inference time using a structured OODA-C loop: Observe, Orient, Doubt, Act, and Curiose. It injects self-questioning, assumption challenging, and information gap detection before the agent responds. No training required — it operates as a reasoning protocol during live sessions.
Unlike prompt-level instructions to 'think step by step', this skill provides a concrete, repeatable loop with defined protocols for doubt and gap detection, making deeper reasoning reproducible across sessions.
When to use it
- Researching an unfamiliar technical topic before answering
- Investigating why a system behaves unexpectedly
- Digging deeper into a surprising data finding
- Fact-checking assumptions in a complex analysis
- Exploring open-ended questions where quick answers fall short
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Why did our API latency spike last Tuesday?'
- 1Observe available logs, metrics, and context provided
- 2Form initial hypothesis about likely causes and rate confidence
- 3Run Protocol A: generate 3 unexplored questions about the spike
- 4Run Protocol C: map known facts vs assumed vs missing data
- 5Use web_search or exec to fill highest-priority knowledge gaps
- 6Reflect on findings, update confidence, log open threads
Structured response with findings, updated confidence rating, any surprises noted, and open threads for follow-up