القائمة
MCP Response Analyzer pattern - Write large responses to temp files, load summaries into context
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/nguyenthienthanh/aura-frog --skill response-analyzerيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Vision feedback loop for UI — render the running UI, screenshot it across viewports + dark mode, run deterministic gates then a multimodal critique against the design system, and iterate until it passes. Use after building or changing a UI component/page, when asked to 'check the UI', make it 'look right', or verify a build matches a design spec / Stitch screen.
UI/UX design expertise — component design, design system selection, responsive layout. Includes auto-detection from package.json and Context7 integration for library docs.
Generate a cohesive color-token system from ONE OKLCH brand hue — primary/secondary/background/foreground/muted/border with semantic light + dark, emitted as a Tailwind v4 @theme block or a CSS-variables fallback. Use when starting a design system, defining brand colors, setting up theming/dark-mode, or replacing scattered hardcoded colors with a derived palette.
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | response-analyzer |
| description | MCP Response Analyzer pattern - Write large responses to temp files, load summaries into context |
| autoInvoke | false |
| priority | medium |
| triggers | ["large response","analyze output","response:save"] |
| allowed-tools | Read, Write, Bash |
| user-invocable | false |
AI-consumed reference. Optimized for Claude to read during execution. Human-readable explanation: see docs/architecture/HIERARCHICAL_PLANNING.md or docs/getting-started/ depending on topic.
Reduce context bloat: write large outputs to /tmp/aura-frog/, load only summaries.
triggers[5]{scenario,threshold,action}:
Command output,>100 lines,Save to temp + summarize
API response,>5KB,Save JSON + extract key fields
File search results,>50 files,Save list + show top 10
Test output,>50 lines,Save full + summarize pass/fail
Build output,>100 lines,Save full + show errors only
/tmp/aura-frog/
├── responses/ # cmd-*.txt, api-*.json, search-*.txt
├── summaries/ # summary-*.md
└── session/ # per-session data
npm test > /tmp/aura-frog/responses/test-$(date +%s).txt 2>&1
grep -E "(PASS|FAIL|Tests:|Suites:)" /tmp/aura-frog/responses/test-*.txt | tail -10
curl url > /tmp/aura-frog/responses/api-$(date +%s).json
jq '{total: .data | length, first_3: .data[:3] | map(.name)}' /tmp/aura-frog/responses/api-*.json
find . -name "*.ts" > /tmp/aura-frog/responses/search-$(date +%s).txt
echo "Found $(wc -l < file) TypeScript files"; head -10 file
savings[4]{scenario,without,with,saved}:
500-line test output,~2000,~100,95%
Large JSON response,~5000,~200,96%
200 file search,~800,~100,87%
Build log,~3000,~150,95%
workflow_integration[4]{phase,use_case,pattern}:
Phase 2 (Test RED),Test output,Command
Phase 4 (Review),Linter output,Command
Phase 4 (Review),Coverage report,Command
Any,Large API responses,API
Cleanup: find /tmp/aura-frog -mtime +1 -delete