
Design Award Match
Match a design project to supported design-award programs, tracks, and entry...
Install
npx skills add SeanJ1ang/design-judge-skills --skill design-award-match -g -a claude-code -y- Repository
- SeanJ1ang/design-judge-skills711
- Category
- Design
- Updated
- 2mo ago
- License
- Apache-2.0
- Context cost
- Mediumabout 2,049 tokens
- Runs scripts
- Yes, review before use
What it does
Match a design project to supported design-award programs, tracks, and entry categories; apply structural eligibility gates; verify current official rules; compare published criteria and cautiously described winner trends; and output fit, evidence confidence, and submission priority. Use when a user asks which award or category to enter, compares awards, or requests an award-fit analysis. Supports iF, iF Student, Red Dot Product, Red Dot Design Concept, IDEA, DIA, K-Design, GOOD DESIGN AWARD Japan, Core77, James Dyson, and EPDA. Do not use for winner retrieval alone, detailed submission-file compliance, general design evaluation, optimization, or winning-probability prediction.
Design Award Match
Purpose
Identify the most defensible award, program, track, and category for a design project. Treat fit scores as transparent decision aids, never as probabilities of winning.
Scope
- Extract decision-relevant project facts.
- Pre-filter the configured award allowlist with stable eligibility gates.
- Verify all dynamic requirements on current official pages.
- Compare project evidence with published criteria and observable winner trends.
- Score, rank, and explain strategic fit.
- Stop after recommendation; do not audit every submission file or redesign the project.
Use $design-award-search for verified same-category winners. Route file format, size, naming, declarations, and upload completeness to $design-submission-check.
Input Contract
Accept a brief, images, PDF, portfolio page, or structured JSON. Extract or request only facts that can change the recommendation:
- primary function, target user, and use context;
- innovation and supporting evidence;
- project state and completion, launch, or release date;
- applicant type, student status, country or region;
- candidate awards, intended cycle, budget, and geographic constraints.
Use the canonical values in references/category-crosswalk.json. If the primary function is unclear, ask one short question. If an eligibility fact is missing, continue with Eligibility: Unknown; never assume a pass.
Offer this template when the user asks how to use the skill:
Project: {name and one-sentence description}
Primary function: {job performed or problem solved}
Target user / context: {optional}
Innovation and evidence: {optional}
Development status / launch date: {optional}
Applicant: {student, individual, studio, company; country/region}
Candidate awards: {optional; omit to search the supported allowlist}
Submission cycle / constraints: {optional year, region, budget}


