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.
git clone https://github.com/duc01226/EasyPlatform
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"
.claude/skills/scan-ui-system/SKILL.md<!-- SYNC:critical-thinking-mindset -->[IMPORTANT] Use
to break ALL work into small tasks BEFORE starting.TaskCreate
<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:ai-mistake-prevention -->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:ai-mistake-prevention --> <!-- SYNC:output-quality-principles -->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:output-quality-principles -->Output Quality — Token efficiency without sacrificing quality.
- No inventories/counts — AI can
. Counts go stale instantlygrep | wc -l- No directory trees — AI can
/glob. Use 1-line path conventionsls- No TOCs — AI reads linearly. TOC wastes tokens
- No examples that repeat what rules say — one example only if non-obvious
- Lead with answer, not reasoning. Skip filler words and preamble
- Sacrifice grammar for concision in reports
- Unresolved questions at end, if any
Quick Summary
Goal: Run all 3 UI scan skills in parallel and produce a summary.
Workflow:
- Check Prerequisites — Verify project has frontend code (not backend-only)
- Launch Parallel Scans — 3 skills simultaneously
- Collect Results — Read scan output from reference docs
- 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
in greenfield-init workflow (design system just created)/scaffold - First time using easy-claude on an existing project (project onboarding)
- Periodic refresh when design system has changed significantly
- User runs
manually/scan-ui-system - Auto-triggered by
skill Phase 5 (scan task creation)project-config
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 Docs | Scan Skill |
|---|---|
+ + | |
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
BEFORE startingTaskCreate - IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
- IMPORTANT MUST ATTENTION cite
evidence for every claim (confidence >80% to act)file:line - 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 -->