Demand Forecasting Framework

Demand Forecasting Framework extends your AI assistant with the ability to build demand forecasts using time series, causal models, and expert judgment for planning, inventory, and capacity decisions with scenario analysis. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Demand Forecasting Framework as its underlying capability.

Demand Forecasting Framework works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Demand Forecasting Framework once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Demand Forecasting Framework installs like any other MCP skill: drop the folder into `~/.claude/skills/afrexai-demand-forecasting/` for global access, or `.claude/skills/afrexai-demand-forecasting/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/afrexai-demand-forecasting`, or let the AI decide when it's the right tool for your request.

Demand Forecasting Framework has 641 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.