Design Award Search

Purpose

Retrieve a small, high-precision set of verified award-winning designs. Keep the functional design category as a mandatory boundary, then search separately across eight relevance dimensions. Search public official sources at request time. Do not connect to, package, or depend on a private award database.

Scope Boundary

• Identify the user's canonical design category.
• Search selected relevance dimensions independently.
• Verify award identity, year, category, relation evidence, and official URL.
• Explain exactly which dimension makes each result relevant.
• Stop after retrieval. Do not score the design, predict winning probability, recommend changes, or select an award to enter.

User Interaction Contract

Accept a project description, image set, PDF, project page, or brief. Accept optional dimensions, award sources, years, and result count.

Require enough information to identify the object or service and its primary function. If the primary function remains ambiguous, ask exactly one short question: What is the design's primary function and who uses it? Otherwise state reasonable assumptions and continue.

When the user does not select dimensions, use balanced mode across every dimension supported by the supplied evidence. Use user images to infer physical-form and visual-language terms. If no image is supplied, do not activate visual-language relevance unless the user supplies explicit visual descriptors.

Offer this template when the user asks how to use the skill:

Project: {name or object}
Primary function: {problem solved or job performed}
Target user: {optional}
Use context: {optional}
Relevance dimensions: {all or selected dimensions}
Preferences: {optional award sources, years, and result count}

Retrieval Workflow

1. Build the profile