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AutomationPython

Design Award Pipeline

by SeanJ1ang

Coordinates an end-to-end design-award workflow, routing between winner research, evaluation, award matching, entry preparation, and submission checking. Ideal when a user needs a complete plan, doesn't know which specialist skill to use, or requires a resumable multi-stage process.

838 stars34 forksAdded 2026/08/06
agent-skillsclaude-codecodexdesign-awardsdesign-evaluationdesign-researchhermes-agentindustrial-designopenclawopencodepython

Documentation

README

Design Award Pipeline

Coordinate the specialist Design Judge skills without duplicating their rules.

Route the request

Choose the smallest sufficient route:

User goal Route
Find comparable winners design-award-search
Diagnose or score the design design-evaluation
Select an award, route, or category design-award-match
Prepare entry fields and copy design-information-prep
Audit a concrete submission package design-submission-check
Complete journey evaluation or match → information prep → submission check; add search only when precedents are needed

If the user has not provided enough information to select a route, ask at most one short question. Otherwise proceed with explicit assumptions.

Maintain the handoff

Create or update a compact handoff record using references/handoff-schema.json. Keep these concepts separate:

  • user-supplied facts;
  • evidence-backed findings;
  • model inferences;
  • missing facts and live-rule checks;
  • decisions already approved by the user;
  • the next recommended specialist skill.

Do not copy long specialist outputs into the handoff. Store identifiers, decisions, blockers, source links, and artifact paths.

Coordinate stages

  1. State the selected route and why it is sufficient.
  2. Invoke or follow the relevant specialist Skill exactly.
  3. Preserve its uncertainty labels, evidence confidence, and blockers.
  4. Stop for user approval when the target award, maturity track, or another consequential choice changes downstream work.
  5. Hand off only facts supported by user material or cited official sources.
  6. End with the completed stage, unresolved blockers, and the next optional stage.

Boundaries

  • Never merge fit score, design score, and evidence confidence into one number.
  • Never claim or estimate a probability of winning.
  • Never treat observed winners as official jury weights.
  • Never mark a package ready when time-sensitive official rules remain unverified.
  • Never invoke all specialist skills when one is enough.

More from SeanJ1ang

Other Claude Code skills by this author in the directory.

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2h ago

Design Award Match

Match a design project to award programs by evaluating eligibility, official rules, and criteria to provide fit scores, evidence confidence, and submission priority. Supports iF, Red Dot, IDEA, and more. Use for award-fit analysis, not winner prediction.
Quality
+27%83834
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2h ago

Design Award Search

A skill that retrieves and verifies award-winning designs across eight relevance dimensions. It searches official iF Design, Red Dot, IDEA, and iF Design Student Award sources for comparable precedents.
Automation
+27%83834
🧐
2h ago

Design Evaluation

Evaluate design quality using an evidence-based rubric, classify works, score design and presentation, identify critical risks, and shortlist within maturity tracks. Use for judging, scoring, critiquing, or batch-evaluating designs.
Quality
+27%83834
📝
2h ago

Design Information Prep

Extract facts from design project attachments and draft award submission text for major design competitions (iF, IDEA, Red Dot, etc.). Use to prepare, translate, or validate application fields with evidence-linked claims.
Writing
+27%83834
📚
2h ago

Design Judge Shared

Provides a canonical functional-design taxonomy and official award-source registry for use by Design Judge skills. Install alongside design-award-search and design-award-match to enable award evaluation workflows.
Data
+27%83834
📋
2h ago

Design Submission Check

Audits a design-award submission package for completeness, consistency, and rule compliance. Use for pre-submission checks, missing-material audits, or final go/no-go decisions.
Quality
+27%83834