EasyPlatform design-describe

[Design] Describe a design based on screenshot/video

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 "$T/.claude/skills/design-describe" ~/.claude/skills/duc01226-easyplatform-design-describe && rm -rf "$T"
manifest: .claude/skills/design-describe/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.

Skill Variant: Variant of design skills — describe UI from screenshot or video.

<!-- 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.

<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:ai-mistake-prevention -->

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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Quick Summary

Goal: Analyze a screenshot or video and produce a detailed written description of the UI design.

Workflow:

  1. Analyze — Process the visual input (screenshot/video) using vision capabilities
  2. Describe — Write detailed description of layout, colors, typography, interactions

Key Rules:

  • Use
    ai-multimodal
    skill for image/video analysis
  • Focus on design elements: layout, spacing, colors, typography, interactions

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

Think hard to describe the design based on this screenshot/video: <screenshot>$ARGUMENTS</screenshot>

Required Skills (Priority Order)

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

Ensure token efficiency while maintaining high quality.

Workflow:

  1. Use
    ai-multimodal
    skills to describe super details of the screenshot/video so the developer can implement it easily.
    • Be specific about design style, every element, elements' positions, every interaction, every animation, every transition, every color, every border, every icon, every font style, font size, font weight, every spacing, every padding, every margin, every size, every shape, every texture, every material, every light, every shadow, every reflection, every refraction, every blur, every glow, every image, background transparency, etc.
    • IMPORTANT: Try to predict the font name (Google Fonts) and font size in the given screenshot, don't just use Inter or Poppins.
  2. Use
    ui-ux-designer
    subagent to create a design implementation plan following the progressive disclosure structure so the result matches the screenshot/video:
    • Create a directory using naming pattern from
      ## Naming
      section.
    • Save the overview access point at
      plan.md
      , keep it generic, under 80 lines, and list each phase with status/progress and links.
    • For each phase, add
      phase-XX-phase-name.md
      files containing sections (Context links, Overview with date/priority/statuses, Key Insights, Requirements, Architecture, Related code files, Implementation Steps, Todo list, Success Criteria, Risk Assessment, Security Considerations, Next steps).
  3. Report back to user with a summary of the plan.

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 -->