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Productivity & Tasks @enzoricciulli Updated 2/8/2026

Adaptive Reasoning OpenClaw Plugin & Skill | ClawHub

Looking to integrate Adaptive Reasoning into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate productivity & tasks tasks instantly, without having to write custom tools from scratch.

What this skill does

Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.

Install

npx clawhub@latest install adaptive-reasoning

Full SKILL.md

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adaptive-reasoningAutomatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.

SKILL.md content below is scrollable.

Adaptive Reasoning

Self-assess complexity before responding. Adjust reasoning level dynamically.

Quick Assessment (run mentally on every request)

Score the request 0-10 on these dimensions:

Signal Weight Examples
Multi-step logic +3 Planning, proofs, debugging chains
Ambiguity +2 Nuanced questions, trade-offs, "it depends"
Code architecture +2 System design, refactoring, security review
Math/formal reasoning +2 Calculations, algorithms, logic puzzles
Novel problem +1 No clear pattern, requires creativity
High stakes +1 Production changes, irreversible actions

Subtract:

  • Routine/repetitive task: -2
  • Clear single answer: -2
  • Simple lookup/fetch: -3

Decision Thresholds

Score Action
≀2 Stay fast. No reasoning needed.
3-5 Standard response. Light internal deliberation.
6-7 Consider /reasoning on or pause to think explicitly.
β‰₯8 Activate extended thinking. Complex problem warrants it.

Activation (Automatic)

Do not ask. Just activate.

Score Action
≀5 Respond normally. No change.
6-7 Enable reasoning silently. Add 🧠 at end of response.
β‰₯8 Enable reasoning. Add 🧠πŸ”₯ at end of response.

Visual Indicator

Always append the reasoning icon at the very end of your response:

  • Score 6-7: 🧠 (thinking mode active)
  • Score β‰₯8: 🧠πŸ”₯ (deep thinking mode)
  • Score ≀5: No icon (fast mode)

How to Activate

Use session_status tool or /reasoning on command internally before responding:

/reasoning on

Or via tool:

{"action": "session_status", "reasoning": "on"}

After completing a complex task, optionally disable to save tokens on follow-ups:

/reasoning off

Examples

Low complexity (score: 1)

"What time is it in Tokyo?" β†’ Simple lookup. Answer immediately. No icon.

Medium complexity (score: 4)

"Refactor this function to be more readable" β†’ Standard response with brief explanation. No icon.

High complexity (score: 7)

"Design a caching strategy for this API with these constraints..." β†’ Enable reasoning. Thoughtful response ends with: 🧠

Very high complexity (score: 9)

"Debug why this distributed system has race conditions under load" β†’ Enable extended thinking. Deep analysis ends with: 🧠πŸ”₯

Integration

This skill runs as mental preprocessing. No external tools needed.

For explicit control:

  • /reasoning on β€” Enable extended thinking
  • /reasoning off β€” Disable (faster responses)
  • /status β€” Check current reasoning state

When NOT to Escalate

  • User explicitly wants quick answer ("just tell me", "quick", "tldr")
  • Time-sensitive requests where speed matters more than depth
  • Conversational/social messages (banter, greetings)
  • Already in reasoning mode for this session
  • User previously disabled reasoning in this conversation

Auto-Downgrade

After completing a complex task (score β‰₯6), if the next message is simple (score ≀3):

  • Silently disable reasoning to save tokens
  • Resume normal fast responses
Original Repository URL: https://github.com/openclaw/skills/blob/main/skills/enzoricciulli/adaptive-reasoning
Latest commit: https://github.com/openclaw/skills/commit/f01dd6566751d7e9690b86269679681dd9a0c126

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