alvis-adaptive-reasoningAutomatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would...
Install via ClawdBot CLI:
clawdbot install alvisdunlop/alvis-adaptive-reasoningGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 9, 2026
Automatically assess the complexity of customer inquiries to decide whether to provide a quick answer or escalate to a detailed troubleshooting guide. For example, a simple password reset request gets a fast response, while a multi-step software configuration issue triggers extended reasoning.
When a developer asks for a code review, the skill evaluates the complexity of the code changes. Simple formatting fixes get immediate feedback, while architectural changes or security-sensitive code prompt a deeper analysis with reasoning mode.
Assess financial queries for complexity: routine balance checks are answered quickly, but nuanced questions about investment strategies or tax implications trigger extended reasoning to provide well-considered advice.
Evaluate health-related questions to determine if a simple informational response (e.g., clinic hours) is appropriate, or if the query involves multiple symptoms and potential interactions, requiring careful reasoning and a disclaimer.
For legal queries, quickly respond to straightforward terminology questions, but activate extended reasoning when analyzing contract clauses, regulatory compliance, or multi-party agreements that require logical deduction.
Offer this skill as a premium add-on to existing AI assistant platforms, enabling them to dynamically adjust reasoning depth without manual toggling. Pricing can be per-seat or usage-based.
Provide the complexity scoring engine as an API that businesses integrate into their own chatbots. This allows custom logic for when to use expensive reasoning models versus cheaper ones.
License the skill to enterprise AI platforms (e.g., customer support automation) to optimize response cost and quality. The skill reduces operational costs by avoiding unnecessary reasoning calls.
💬 Integration Tip
Implement the scoring logic as a lightweight preprocessing step before each response generation; the decision to enable reasoning can be applied via a session flag or tool call without user interaction.
Scored Jul 13, 2026
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