What breaks without openclaw adaptive reasoning skill
Fixed reasoning patterns applied to all tasks. Over-thinking simple queries. Under-thinking complex multi-step problems.
→
Task-appropriate reasoning × adaptive CoT/ToT/direct strategy selection ÷ 15-minute install ÷ no custom reasoning code = smarter responses at the right depth.
Security check — openclaw adaptive reasoning skill
Privacy score: 7/10 — accesses connected platform APIs only.
Lock it: review OAuth scopes before install, confirm OpenClaw ≥1.3; requires LLM provider with ≥32k context window recommended compatibility.
Quick start — openclaw adaptive reasoning skill in 15 minutes
Setup time: 15 minutes
!
You need:
- OpenClaw core with skills support
- access to an LLM with strong reasoning capabilities
Install the package:
git clone https://github.com/openclaw/skills
cp -r skills/enzoricciulli/adaptive-reasoning /your-bot/skills/
1
Clone the openclaw/skills repo
2
Copy the adaptive-reasoning/ directory to your bot's skills/ folder
3
Review SKILL.md for trigger conditions and configuration parameters
4
Configure the reasoning_depth and fallback_strategy parameters
6
Test with a complex multi-step problem that requires planning
Compatibility & status
Works with: OpenClaw ≥1.3; requires LLM provider with ≥32k context window recommended
advanced
Last updated: Nov 2025
★ N/A on GitHub
MIT
Official docs →
View on GitHub →
FAQ — openclaw adaptive reasoning skill
What LLM works best with this skill?
Claude or GPT-4-class models produce the best adaptive reasoning.
Can I add my own reasoning strategies to the strategy library?
Yes. The strategy library is defined in the SKILL.md config block.
Does this skill maintain state across turns?
Yes, within a session.