design-submission-check

by design-judge-skills

Audit a design-award submission package against the current official rules for a specific award cycle. Check required materials and technical constraints, cross-material facts and claims, rights and disclosure risks, and final submission readiness. Use when a user asks for a pre-submission check, compliance review, missing-material audit, consistency check, or final go/no-go decision. Do not use this skill to choose an award, retrieve winners, judge the design itself, rewrite the whole entry, or give a legal clearance opinion.

v1.0.0New

#design-judge-skills

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Install this skill

Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install design-judge-skills-design-submission-check

Or download directly:

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Setup by platform

Claude Code

~/.claude/skills/<skill>/SKILL.md

Setup guide →

Install

One-click setup for your editor

Run in your project root

npx @skills-hub-ai/cli install design-judge-skills-design-submission-check --target claude-code

Instructions

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design-award-matchMatch 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.0 installs design-award-searchFind and verify award-winning designs in the same or adjacent functional category through eight explicit relevance dimensions: problem and user, core function, sensing technology, intervention mechanism, physical form, use context and workflow, system architecture, and visual language. Use when a user asks for same-category winners, comparable precedents, design benchmarks, appearance-related award winners, or examples from iF Design, Red Dot, IDEA, or iF Design Student Award. Do not use this skill to score, judge, optimize, or match the user's design to an award.0 installs design-information-prepExtract evidence-grounded project facts from user-provided design attachments, identify missing information, and prepare the exact written fields required by supported design-award entry forms. Use when a user asks to prepare, draft, adapt, translate, or validate application text for iF, iF Student, Red Dot Product Design, IDEA, DIA, K-Design, GOOD DESIGN AWARD Japan, Core77, James Dyson, or EPDA. Also use to build a reusable project dossier from briefs, decks, reports, manuals, patents, research, images, or prior application materials. Do not use for award selection alone, winner retrieval, design-quality scoring, final file-format auditing, or winning-probability prediction.0 installs design-award-pipelineRoute and coordinate an end-to-end design-award workflow across winner research, evidence-based evaluation, award matching, entry-text preparation, and final submission checking. Use when a user asks for a complete award plan, does not know which Design Judge skill to use, wants multiple stages coordinated, or needs a resumable workflow with explicit handoffs. Do not replace the specialist skills, invent project facts, treat scores as winning probabilities, or bypass current official-rule verification.0 installs design-evaluationEvaluate one design or a user-approved maturity-mapped batch through a transparent evidence-based rubric. Classify each work, score design quality and presentation, identify Critical risks, report evidence confidence, and optionally shortlist works within separate maturity tracks. Use when a user asks to judge, score, critique, review, diagnose, batch-evaluate, or rank designs by evidence-aligned evaluation score. Do not use this skill to retrieve winners, choose an award, produce a redesign, audit submission-file compliance, simulate an official jury, or predict winning probability.0 installs design-judge-sharedShared support package for the Design Judge skill collection. Install it with design-award-search and design-award-match so those skills can read the canonical functional-design taxonomy and official award-source registry. Do not invoke it as a standalone design workflow.0 installs

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Frequently asked questions about design-submission-check

What does the design-submission-check skill do?

How do I install the design-submission-check skill?

Run `npx @skills-hub-ai/cli install design-judge-skills-design-submission-check` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/design-judge-skills-design-submission-check/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does design-submission-check work with?

design-submission-check runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the design-submission-check skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use design-submission-check after installing it?

In Claude Code, type `/design-judge-skills-design-submission-check` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the design-submission-check skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.