MC Dean

designer-skills. Designer Skills Collection: agentic skills, commands, and plugins for design — from research to systems, UI, interaction, and delivery.

designpowers. An agent design team you control: 10 agents that run an inclusive design process while you direct.

ai-design-skills. AI Design Skills Collection: agentic skills, commands, and plugins for designing AI products — from interaction patterns to alignment, evaluation, agent orchestration, and prompt architecture.

inclusive-design-skills. Inclusive design skills for AI coding agents — from cognitive accessibility to adaptive interfaces, inclusive research, and accessibility decision-making.

mood-protocol. A perceptual brief for AI agents. The perceptual context layer of agent-readable design.

perceptual-protocols. A family of small protocols for the perceptual side of designer-agent collaboration.

design-workshop-prompts. 36 ready-to-paste prompts for running better design workshops with any LLM. Organized by activity, labeled by role. Copy, paste, go.

agent-ready. A Figma plugin + Agent skill that scores how AI-ready your design files are.

agent-design-primer. The reference for designers shipping AI agents — design × AI, inclusive by default.

ai-design-field-guide. 46 ways to work with AI design tools — Claude Design, Figma Make, Stitch, Canva, or anything. The thinking applies regardless of which tool you have open.

design-leadership-skills. Agentic skills, commands, and plugins for design leadership — from people and teams to strategy, influence, operating cadence, and the craft of leading.

ux-pgm-skills. Agentic skills, commands, and plugins for UX program management — from planning and stakeholders to delivery, alignment, and measurement.

echowhale. AI-powered whale detection achieving 100% accuracy for marine conservation

voice-protocol. Brand strategists think in personality. Agents think in rules. voice.md bridges the gap

designpowers-mcp. Designpowers MCP turns design guidance into a real studio. It pairs the Designpowers design knowledge — taste, discovery, strategy, critique — with a model-agnostic MCP truth layer