token-efficient-task-routerv0.6.8

An AI agent receives a vaguely worded support ticket from a user. Using this skill, the agent classifies the task's clarity and risk, routes to Ask Mode to clarify the issue before spending tokens on a complex solution, saving costs and avoiding unnecessary actions.

A developer requests a large code refactor. The skill's routing logic assesses the high complexity and risk, defaults to Plan Mode to outline changes and seek confirmation before execution, preventing accidental file modifications and token waste.

A manager asks for a 'comprehensive report' without specifics. The skill invokes Need Calibration rules, asking targeted questions to determine the real need, then produces a focused summary rather than a lengthy report, optimizing ROI.

An agent in WorkBuddy handles a workflow involving file reads and writes across multiple systems. The skill uses Progressive Delivery rules, executing a pilot step first to validate before full batch execution, reducing risk and token usage.

A user asks a series of diagnostic questions about a specialist domain. The skill routes to Ask Mode for the initial queries, but when repeated failures indicate depth needed, it recommends Expert Mode to avoid trial-and-error token waste.

Offer a subscription tier that limits token usage per session, leveraging the skill to maximize task completion within budget. Users pay a fixed monthly fee for a guaranteed number of efficient task routes.

Charge customers based on successful task completions rather than token consumption. The skill ensures each task is routed efficiently, making outcomes predictable and cost-effective for clients.

Offer consulting services to integrate the skill into enterprise AI systems, helping them reduce token waste and improve task success rates. Revenue comes from implementation and optimization fees.