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Get Started Free →majiayu000/Agent Reasoning & Decision-Making
Design effective reasoning processes for AI agents and optimize decision-making strategies.
Passed 17 of 21 test cases with the skill, and 13 of 21 without it.
and 1 more in the full report
4 fixed14 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Deconstruct our software company's ongoing issue with high customer churn into core underlying components using an analytical problem breakdown mode.
| Checked | Without skill | With skill |
|---|---|---|
| Structures each component with details, importance, relationship to other components, and available levers or influence points | Missed | Passed |
The instructions your model reads when the skill loads.
The quality of an agent's decisions depends on how well its reasoning is structured, prompted, and evaluated. This skill covers designing effective reasoning systems.
Match reasoning depth to task complexity:
SIMPLE TASK (routine, low stakes)
Example: "Classify customer email"
Reasoning needed: Quick classification
Prompt: "Classify as complaint/inquiry/feedback"
Cost: ~0.1 seconds
MODERATE TASK (needs consideration, medium stakes)
Example: "Recommend product to customer"
Reasoning needed: Consider preferences, history, fit
Prompt: "Review customer profile, similar customers, suggest with reasoning"
Cost: ~2-5 seconds
COMPLEX TASK (ambiguous, high stakes)
Example: "Design feature architecture for new product"
Reasoning needed: Multiple considerations, trade-offs, validation
Prompt: Chain-of-thought + structured framework
Cost: ~10-30 seconds
CRITICAL TASK (irreversible, strategic)
Example: "Recommend major organizational change"
test cases passed, vs 13 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.