EasyPlatform design-fast

[Design] Create a quick design

install
source · Clone the upstream repo
git clone https://github.com/duc01226/EasyPlatform
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/duc01226/EasyPlatform "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/design-fast" ~/.claude/skills/duc01226-easyplatform-design-fast && rm -rf "$T"
manifest: .claude/skills/design-fast/SKILL.md
source content

[IMPORTANT] Use

TaskCreate
to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

<!-- SYNC:critical-thinking-mindset -->

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

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AI Mistake Prevention — Failure modes to avoid on every task:

  • Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
  • Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
  • Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
  • Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
  • When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
  • Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
  • Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
  • Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
  • Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
  • Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
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Think hard to plan & start working on these tasks follow the Orchestration Protocol, Core Responsibilities, Subagents Team and Development Rules: <tasks>$ARGUMENTS</tasks>

Skill Variant: Variant of design skills — quick design implementation.

Quick Summary

Goal: Create a quick UI design using design intelligence databases and subagents.

Workflow:

  1. Research — Run
    ui-ux-pro-max
    searches for design intelligence
  2. Design — Use
    ui-ux-designer
    subagent to create the design
  3. Review — Present to user for approval

Key Rules:

  • Always activate
    ui-ux-pro-max
    FIRST for design intelligence
  • Default to pure HTML/CSS/JS if user doesn't specify framework
  • Use
    ai-multimodal
    for generating real visual assets

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Required Skills (Priority Order)

  1. ui-ux-pro-max
    - Design intelligence database (ALWAYS ACTIVATE FIRST)
  2. frontend-design
    - Quick implementation

Ensure token efficiency while maintaining high quality.

Workflow:

  1. FIRST: Run
    ui-ux-pro-max
    searches to gather design intelligence:
    python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "<product-type>" --domain product
    python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "<style-keywords>" --domain style
    python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "<mood>" --domain typography
    python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "<industry>" --domain color
    
  2. Use
    ui-ux-designer
    subagent to start the design process.
  3. If user doesn't specify, create the design in pure HTML/CSS/JS.
  4. Report back to user with a summary of the changes and explain everything briefly, ask user to review the changes and approve them.
  5. If user approves the changes, update the
    ./docs/design-guidelines.md
    docs if needed.

Notes:

  • Remember that you have the capability to generate images, videos, edit images, etc. with
    ai-multimodal
    skills. Use them to create the design and real assets.
  • Always review, analyze and double check generated assets with
    ai-multimodal
    skills to verify quality.
  • Maintain and update
    ./docs/design-guidelines.md
    docs if needed.

Closing Reminders

  • MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using
    TaskCreate
    BEFORE starting
  • MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • MANDATORY IMPORTANT MUST ATTENTION cite
    file:line
    evidence for every claim (confidence >80% to act)
  • MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality <!-- SYNC:critical-thinking-mindset:reminder -->
  • MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
  • MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->