apparel-demand

Analyzes apparel demand prediction systems for trend forecasting, size curve optimization, color and style analytics, sell-through rate tracking, and markdown optimization following CPFR collaborative planning and GTIN product identification standards. USE THIS SKILL WHEN: - You are reviewing a fashion or apparel demand planning system - Someone asks about size curve optimization or sell-through analysis - You need to evaluate trend forecasting accuracy or methodology - A project involves markdown optimization or clearance strategy - You are auditing assortment planning, OTB (open-to-buy), or inventory management - Someone mentions WGSN, Trendalytics, or fashion trend integration - You need to analyze color/style performance or product lifecycle management - A codebase connects to POS, e-commerce, or wholesale order systems for demand signals - Markdown rates are too high or sell-through is below target TRIGGER PHRASES: "apparel demand", "size curve", "sell-through", "markdown optimiza It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

Run `npx @skills-hub-ai/cli install apparel-demand` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/apparel-demand/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

apparel-demand runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

In Claude Code, type `/apparel-demand` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.