Ghiles3232

Ghiles3232/weckr-sdks

Plugin Claude Code

Plugin marketplace listing 1 plugin: weckr.

Ghiles3232/weckr-sdks

Plugin Claude Code

The Weckr cost and margin toolkit for your AI assistant. Bundles skills that integrate the Weckr SDK, look up current LLM token prices, estimate what an AI feature costs per user before you ship, and audit which of your pricing plans are unprofitable at today's model prices. Covers OpenAI, Anthropic, Gemini, and Kimi.

Ghiles3232/weckr-sdks

Skill Claude CodeCodex

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…

Ghiles3232/weckr-sdks

Skill Claude CodeCodex

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…

Ghiles3232/weckr-sdks

Skill Claude CodeCodex

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…

Ghiles3232/weckr-sdks

Skill Claude CodeCodex

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…

Ghiles3232/weckr-sdks

MCP server Claude CodeCodexCursor +2

Ask which of your customers cost more in LLM calls than they pay, per user and per feature. Runs locally from the @weckr/mcp npm package. Needs 3 environment variables to run.