EasyPlatform scan-ui-system

[Documentation] Orchestrate all UI system scans in parallel: design system + SCSS styling + frontend patterns. Single command to populate all UI-related project reference docs. Use for project onboarding, post-scaffold setup, or periodic refresh.

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 "$T/.claude/skills/scan-ui-system" ~/.claude/skills/duc01226-easyplatform-scan-ui-system && rm -rf "$T"
manifest: .claude/skills/scan-ui-system/SKILL.md
source content

[IMPORTANT] Use

TaskCreate
to break ALL work into small tasks BEFORE starting.

<!-- 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.
<!-- /SYNC:ai-mistake-prevention --> <!-- SYNC:output-quality-principles -->

Output Quality — Token efficiency without sacrificing quality.

  1. No inventories/counts — AI can
    grep | wc -l
    . Counts go stale instantly
  2. No directory trees — AI can
    glob
    /
    ls
    . Use 1-line path conventions
  3. No TOCs — AI reads linearly. TOC wastes tokens
  4. No examples that repeat what rules say — one example only if non-obvious
  5. Lead with answer, not reasoning. Skip filler words and preamble
  6. Sacrifice grammar for concision in reports
  7. Unresolved questions at end, if any
<!-- /SYNC:output-quality-principles -->

Quick Summary

Goal: Run all 3 UI scan skills in parallel and produce a summary.

Workflow:

  1. Check Prerequisites — Verify project has frontend code (not backend-only)
  2. Launch Parallel Scans — 3 skills simultaneously
  3. Collect Results — Read scan output from reference docs
  4. Summarize — Report what was found

Key Rules:

  • Skip entirely if project has no frontend code
  • All 3 scans run in PARALLEL for speed
  • Does NOT modify code — only populates docs/project-reference/

When to Use

  • After
    /scaffold
    in greenfield-init workflow (design system just created)
  • First time using easy-claude on an existing project (project onboarding)
  • Periodic refresh when design system has changed significantly
  • User runs
    /scan-ui-system
    manually
  • Auto-triggered by
    project-config
    skill Phase 5 (scan task creation)

When to Skip

  • Backend-only project (no frontend code directories)
  • All 3 reference docs are already populated and recent

Auto-Trigger Integration

Follow existing pattern from

project-config/SKILL.md
Phase 5 scan table. The
project-config
skill creates TaskCreate items for all
/scan-*
skills. This skill replaces 3 separate scan entries with 1 orchestrator:

Reference DocsScan Skill
design-system/README.md
+
scss-styling-guide.md
+
frontend-patterns-reference.md
/scan-ui-system

Execution

Launch 3 skills in parallel:

Scan 1: Design System

Activate

/scan-design-system
→ populates
docs/project-reference/design-system/README.md

Scan 2: SCSS/Styling

Activate

/scan-scss-styling
→ populates
docs/project-reference/scss-styling-guide.md

Scan 3: Frontend Patterns

Activate

/scan-frontend-patterns
→ populates
docs/project-reference/frontend-patterns-reference.md

Summary Output

After all 3 scans complete, report:

"UI System Scan Complete:

  • Design System: {X} tokens, {Y} components found → docs/project-reference/design-system/README.md (content auto-injected by hook — check for [Injected: ...] header before reading)
  • Styling: {approach} detected, {Z} variables/mixins → docs/project-reference/scss-styling-guide.md
  • Frontend Patterns: {framework} detected, {N} base classes → docs/project-reference/frontend-patterns-reference.md"

Closing Reminders

  • IMPORTANT MUST ATTENTION break work into small todo tasks using
    TaskCreate
    BEFORE starting
  • IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • IMPORTANT MUST ATTENTION cite
    file:line
    evidence for every claim (confidence >80% to act)
  • 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 -->