Token Saver 75+v1.0.0

Automatically classify incoming support tickets into T1-T4 tiers, such as simple status checks (T1) or complex technical issues (T4), and route them to appropriate models like Groq for summaries or Opus for escalation, reducing token costs by over 75% while maintaining response quality.

Use the skill to analyze code submissions, classify them as T3 tasks, spawn Codex for generation or fixes, and apply output compression to deliver concise feedback, saving tokens in development workflows.

Process large volumes of articles by classifying them as T2 bulk tasks, spawning Groq for summarization and formatting, and outputting compressed results like bullet lists, enabling efficient content curation.

Handle complex financial data by classifying requests as T4 for strategic insights, spawning Opus to orchestrate analysis, using GPT-5.2 for structured extraction, and delivering dense reports with token optimization.

Classify product data processing as T2 tasks, spawn Groq for bulk formatting and rewriting, apply output compression to create concise descriptions, and reduce costs in catalog management.

Offer this skill as a service to businesses using AI agents, charging a monthly fee based on token savings achieved, with tiers for different usage levels and industries like customer support or development.

Provide custom integration of the skill into existing AI workflows, offering setup, training, and ongoing support to help clients implement token-saving protocols and model routing effectively.

License the skill to AI platform providers, allowing them to embed it as a feature for their users, generating revenue through licensing fees or increased platform adoption due to cost savings.