Automatically selects Claude effort levels based on message complexity for efficient reasoning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ThinkGate" yet — see the docs or source repo.
Based on the complexity of the following user message, automatically choose Claude's effort level (fast, think, or ultrathink) and explain why: "Compare three database migration approaches and provide risks, costs, and rollout steps."
Returns a recommended effort level with a brief explanation based on message complexity.
Determine which Claude effort level should be used for this message: "Polish this sentence into a more polite email opening."
Identifies it as a low-complexity request and recommends fast for better response efficiency.
Please decide whether this task needs fast, think, or ultrathink: "Read this long requirements document, identify conflicts and missing dependencies, and propose actionable restructuring suggestions."
Classifies the task as high complexity and recommends think or ultrathink for more thorough reasoning.
Developers building Claude-based assistants can use it to assess message complexity first, then automatically choose fast, think, or ultrathink instead of setting it manually.
When teams want fast replies for simple questions but stronger reasoning for harder ones, this tool can switch to the appropriate effort level based on task difficulty.
It classifies message complexity and automatically selects the appropriate Claude effort level, including fast, think, and ultrathink, to improve reasoning efficiency.
Based on the provided description, its core role is to judge complexity and choose a reasoning level, rather than replace Claude's own answer generation.
The provided materials do not include installation steps, runtime requirements, or key prerequisites; for specifics, see the source repository.
Lets users choose AI reasoning depth and improve responses through iterative passes.
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Route thousands of LLM requests through one fast API with built-in guardrails.
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