Weckr Cost Estimator
Estimates what an AI feature will cost per call, per user, and per month before it ships. Use this skill when a user is building or planning an LLM feature and asks how much it will cost to run, whether it is affordable at their price point, how a model choice changes cost, or what per user spend to expect. It reads the feature's code or description, estimates token usage, and projects cost using…
Weckr Margin Audit
Audits whether a SaaS product's pricing plans stay profitable once LLM costs are counted. Use this skill when a user wants to know which of their plans lose money, whether flat or unlimited pricing is sustainable, how much AI cost eats into a plan's margin, or whether their price points cover model spend. It compares each plan's price against the AI cost of a typical and a heavy user and flags pl…
Weckr Model Pricing
Provides current per-token API prices for large language models across OpenAI, Anthropic, Gemini, and Kimi (Moonshot). Use this skill when a user asks what a model costs, how much input or output tokens cost, which model is cheapest for a task, or wants to compare prices between models or providers. Prices are per million tokens and were verified in mid 2026, so always tell the user to confirm ag…
Weckr Integration
Helps developers integrate Weckr, an AI cost and margin tracking SDK, into their application. Use this skill when a user is building an AI feature that calls OpenAI, Anthropic, Gemini, or Kimi and wants to track cost, margin, or spending caps per user, or when a user asks about tracking AI costs, agent loop detection, or per user profitability in their SaaS product.