Skill UI

This skill generates or optimizes high-converting landing pages for products and services. It structures content for both human readers and search engines, incorporating SEO and AEO best practices. The output includes metadata, hero sections, problem-solution narratives, features, social proof, FAQs, and CTAs. It ensures factual accuracy and avoids fabrication while following specific conversion goals.

This skill generates optimized meta titles, descriptions, and URL structures for search engines. It ensures compliance with character limits and best practices while integrating keywords effectively. Ideal for creating compelling metadata that improves click-through rates and SEO rankings across various platforms like WordPress or static sites.

This tool audits the activation metadata of coding skills used by AI agents. It grades skills (A-F) based on description clarity, simulates which skill a prompt will trigger, and identifies metadata collisions where one skill might silently overshadow another. It is essential for ensuring robust, predictable, and reliable AI agent behavior during development and CI processes.

This skill helps developers fix social sharing previews, ensuring that URLs render as rich, consistent cards across major platforms like Facebook, LinkedIn, X/Twitter, and WhatsApp. It provides standardized implementation for Open Graph (OG) tags and Twitter cards, crucial for improving SEO and discoverability.

This skill utilizes the Taisly Agent Kit to manage the entire workflow for publishing approved short-form videos across major platforms, including TikTok, Instagram Reels, YouTube Shorts, X, and Facebook. It facilitates agent-assisted publishing by ensuring coordination of captions, metadata, and campaign details. A critical feature is the mandatory explicit confirmation gate, which prevents any state-changing publishing action without explicit user approval, prioritizing safety and compliance.

This skill provides comprehensive guidance for the entire lifecycle of Conductor tracks—the logical work units used to organize features, bugs, and refactors. It assists users in creating, reviewing, updating specifications (spec.md), developing plans (plan.md), and managing the status and metadata of tasks from initial conception through final completion, ensuring structured and traceable development processes.

A comprehensive, multi-phase quality assurance tool designed for Next.js fullstack applications. It verifies production readiness by checking code integrity, build success, SEO metadata, API authentication, route stability, performance, and security vulnerabilities. Use it as a mandatory pre-deployment checklist before promoting an app to production.

This skill automatically processes MP4 videos by extracting key frames at configurable intervals. It then applies Tesseract OCR to recognize text on these frames, generating a comprehensive, structured Markdown report. The report includes full video metadata and timestamped, searchable transcripts, making it ideal for analyzing lectures, presentations, or screencasts programmatically.

Resolve the newest complete numerical weather prediction cycle and forecast objects across provider mirrors without downloading full payloads. This skill probes exact objects or narrow prefixes, verifies request-specific completion contracts, and returns the newest qualifying initialization with source metadata.

Retrieve surface and upper-air weather observations from NOAA APIs and archives, preserving station identity, time, units, and quality flags. Covers METARs, ISD, IGRA radiosondes, and station metadata for analysis-ready data.

This skill generates complete, publication-ready, and SEO-optimized blog posts for WordPress. It enforces professional structure, factual rigor, and comprehensive SEO elements like Yoast metadata and JSON-LD schema, along with image SEO planning. It is ideal for content strategists and copywriters needing high-quality, engaging, and searchable articles.

Xberg is a document intelligence library supporting 107 formats including PDF, Office, and images. It extracts text, tables, metadata, and images using OCR. Available for Python, Node.js, Rust, and CLI. Supports batch processing, configuration options like chunking and OCR, and custom plugins. Ideal for developers building document processing applications.