Skill UI

This guide details how to deploy and manage web projects on Vercel using token-based authentication via the CLI. It provides comprehensive steps for locating and setting the VERCEL_TOKEN, identifying project IDs, and executing deployment commands (including linking and direct deployment) without relying on interactive login.

Registers design tokens for colour, typography, spacing, and radius with light and dark values, contrast ratios, and WCAG levels. Use for documenting design systems and ensuring accessibility.

Prove data/AI workflows end-to-end on tiny samples, find cost-saving wins, then scale within budget using cost-gated steps. Ideal for multi-stage pipelines involving paid compute like LLM tokens or warehouse credits.

Install, check, restyle, and remove the agy-powerline statusline for Antigravity CLI. Shows model, quotas, reset times, context window, git status, and tokens.

Calculate the cost per million tokens for running AI models locally on your own hardware like Ollama or llama.cpp. It factors in electricity prices, hardware costs, power consumption, and generation speed to determine the break-even point against hosted API models. Useful for deciding whether to deploy models locally or use cloud services based on actual usage and financial constraints.

Checks WCAG 2.2 contrast between project color tokens in light and dark themes, then suggests the closest passing color that preserves hue.

This skill compares the length of two or more labeled text samples to analyze content volume. It counts tokens or words, identifies differences, and reports coverage observations. Ideal for SEO analysis, content auditing, and competitive research where text volume matters. It handles plain text, pasted content, or labeled rows without requiring form filling.