.claude/skills/ok-impeccable-critique/SKILL.md
Evaluate design effectiveness from a UX perspective. Assesses visual hierarchy, information architecture, emotional resonance, and overall design quality with actionable feedback.
npx skillsauth add eliferjunior/Claude critiqueInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Use the frontend-design skill — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run teach-impeccable first. Additionally gather: what the interface is trying to accomplish.
Conduct a holistic design critique, evaluating whether the interface actually works—not just technically, but as a designed experience. Think like a design director giving feedback.
Evaluate the interface across these dimensions:
This is the most important check. Does this look like every other AI-generated interface from 2024-2025?
Review the design against ALL the DON'T guidelines in the frontend-design skill—they are the fingerprints of AI-generated work. Check for the AI color palette, gradient text, dark mode with glowing accents, glassmorphism, hero metric layouts, identical card grids, generic fonts, and all other tells.
The test: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
Structure your feedback as a design director would:
Start here. Pass/fail: Does this look AI-generated? List specific tells from the skill's Anti-Patterns section. Be brutally honest.
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
Highlight 2-3 things done well. Be specific about why they work.
The 3-5 most impactful design problems, ordered by importance:
For each issue:
Quick notes on smaller issues worth addressing.
Provocative questions that might unlock better solutions:
Remember:
development
Expert guidance for Fireworks AI, the platform for running open-source LLMs (Llama, Mixtral, Qwen, etc.) with enterprise-grade speed and reliability. Helps developers integrate Fireworks' inference API, fine-tune models, and deploy custom model endpoints with function calling and structured output support.
development
Convert any website into clean, structured data with Firecrawl — API-first web scraping service. Use when someone asks to "turn a website into markdown", "scrape website for LLM", "Firecrawl", "extract website content as clean text", "crawl and convert to structured data", or "scrape website for RAG". Covers single-page scraping, full-site crawling, structured extraction, and LLM-ready output.
tools
Expert guidance for Firebase, Google's platform for building and scaling web and mobile applications. Helps developers set up authentication, Firestore/Realtime Database, Cloud Functions, hosting, storage, and analytics using Firebase's SDK and CLI.
development
When the user needs to build file upload functionality for a web application. Use when the user mentions "file upload," "image upload," "upload endpoint," "multipart upload," "presigned URL," "S3 upload," "file validation," "upload to cloud storage," or "accept user files." Handles upload endpoints, file validation (type, size, magic bytes), cloud storage integration, and upload status tracking. For image/video processing after upload, see media-transcoder.