Analyze session audit logs to detect execution loops and adjust strategies.
npx skills add https://github.com/alangeb/tau --skill think-alangeb
Please help me install this Agent Skill. Skill: think Source: https://github.com/alangeb/tau/tree/main/src/skills/think Command: npx skills add https://github.com/alangeb/tau --skill think-alangeb
This skill resolves cognitive bottlenecks where an AI agent becomes stuck in repetitive loops, loses track of complex multi-part tasks, or needs to reassess its strategy when assumptions change mid-execution.
Use the think skill to analyze the current session and determine why the agent is stuck in a loop.
High-intent search queries and answers about installing and using this skill.
Loop detection identifies repeating tool call patterns in session audit logs to prevent infinite execution cycles. It enables deep reasoning to automatically analyze agent history and break repetitive agentic workflows.
Strategic reassessment spawns a dedicated reasoning fork for state evaluation, performing meta-analysis to re-evaluate plans when unexpected results occur or task requirements shift mid-execution in agentic workflows.
Deep reasoning resolves complex planning failures by performing systematic debugging of tool call sequences and meta-analysis. It resolves cognitive bottlenecks where an agent loses track of multi-part tasks by evaluating state and adjusting strategy.
Yes, session audit logs are required. Access to these logs is necessary to analyze repeating tool call patterns, evaluate state, and perform the systematic debugging required for effective loop detection and strategy adjustment.
Your agent repeatedly retries the same failing command due to cognitive bottlenecks. Invoking deep reasoning allows the agent to step back, analyze audit logs, and formulate a new approach rather than continuing to retry the failing tool call.
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