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design-discovery

Use when a web project needs business goals, audience, information architecture, conversion priorities, content hierarchy, constraints, or design CTQs clarified before visual design begins.

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Files included (3)

  • SKILL.md1.8 KB
  • agents/openai.yaml242 B
  • references/asset-protocol.md1.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Design Discovery

Convert the request into a decision brief

Capture only information that changes the design:

  • business/product and desired outcome;
  • primary users and context of use;
  • top job-to-be-done and secondary jobs;
  • primary CTA/conversion and failure modes;
  • content inventory and trust evidence;
  • required pages, states, locales and devices;
  • brand attributes and explicit anti-attributes;
  • technical/deployment constraints;
  • measurable CTQs.

CTQ examples

Translate adjectives into observable requirements.

  • “premium” → deliberate art direction, controlled type hierarchy, authored imagery, restrained motion, no template residue.
  • “fast to use” → core answer/action discoverable in one scan and short navigation path.
  • “mobile-first” → content priority and interaction model are designed for touch before desktop decoration is added.

Ambiguity policy

Do not stall on low-risk gaps. Infer reasonable defaults, label them as assumptions, and continue. Ask only when a missing decision would materially change business logic, brand, legal requirements or architecture.

Output

Produce a concise design brief with: Goal, Audience, Primary Job, Primary Action, Content Priority, Brand, Anti-Direction, Constraints, CTQs.

When imagery, logos, footage, 3D models, fonts, or external references affect the direction, read references/asset-protocol.md and record ownership, rights, fidelity, fallback, and delivery status before treating an asset as available.

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