Skill UI

This skill enforces a rigorous, opinionated baseline for UI development, ensuring consistency across spacing, hierarchy, typography, and layout. It helps maintain high code quality by fixing structural and stylistic inconsistencies, particularly useful for polishing AI-generated or quickly developed interfaces to meet professional standards and accessibility requirements.

This skill transforms generic, robotic, or overly structured AI-generated content into writing that sounds genuinely human. It operates in three modes: detecting AI patterns (Mode 1), fixing rhythm and generic language (Mode 2), and injecting a specific brand voice (Mode 3). Ideal for marketing and communications teams needing authentic, high-personality copy.

Transforms vague UI ideas into structured, Stitch-optimized prompts by adding platform context, UI/UX keywords, design system cues, and detailed page structure guidance so generated interfaces stay consistent and polished.

No detailed information was provided beyond the title, so a concise description cannot be generated.

Audit and optimize content for AI search engines and generative AI overviews. Focus on citability, entity clarity, brand signals, and technical accessibility to improve visibility in AI-generated answers and search results. Includes analysis of crawler access and brand mentions.

Plan and audit programmatic SEO pages generated at scale from data sources. Covers template engines, URL patterns, internal linking, thin content safeguards, and index bloat prevention. Use for data-driven pages, dynamic pages, or template pages.

Analyzes a website's accessibility to major AI crawlers (e.g., GPTBot, ClaudeBot). It checks robots.txt, meta tags, and HTTP headers to generate a complete access map. This helps users optimize their site structure to maximize visibility in AI-generated search results while maintaining appropriate control over data usage.

A comprehensive skill for generating multimodal media content using fal.ai models. It supports text-to-image (Nano Banana), text/image-to-video (Veo, Kling, Seedance), and text/video-to-audio (CSM-1B, ThinkSound). Use this tool for any creative project requiring high-quality generated images, videos, or sound effects.

This tool is designed to help optimize and refine prompts used with Large Language Models (LLMs). By structuring inputs, it ensures that the instructions given to AI systems are clear, comprehensive, and contextually rich, resulting in significantly higher quality and relevance of the generated output. Useful for developers, writers, and researchers.

Guides marketers through recruiting creators, validating content organically, and scaling with AI-generated UGC across TikTok, Meta, and YouTube Shorts while keeping briefs, budgets, and paid amplification systematic.

Autonomously improve a generated paper through multiple review-fix-recompile rounds with fresh LLM reviewer feedback, fixing inconsistencies and polishing presentation.

This tool provides a structured methodology for triaging web application security findings generated by DAST and SAST scanners (e.g., Burp Suite, ZAP). It validates true positives, dismisses false positives, and assigns risk ratings using the OWASP Risk Rating Methodology (Risk = Likelihood x Impact). Use it to reduce alert fatigue and prioritize remediation efforts for development teams, ensuring focus on the most critical vulnerabilities.