Skill UI

This guide details advanced strategies for publishing technical content across major developer platforms like Dev.to and Hashnode. It covers cross-posting best practices, canonical URL management for optimal SEO, and platform-specific optimization (e.g., tagging, content performance) to maximize reach and build authority.

This skill guides the implementation of advanced SEO strategies tailored specifically for technical audiences and developers. It covers specialized techniques such as optimizing for error messages, researching high-intent technical long-tail keywords, creating structured how-to guides, and developing objective tool comparison content. Use this when targeting developers who search with precise technical intent, needing solutions that go beyond standard documentation.

This skill is designed to accurately convert complex, Hugo-managed documentation sites and content into standard Markdown format. It goes beyond generic knowledge by inspecting the entire local Hugo repository structure, including `hugo.toml`, custom shortcodes, layouts, and content files. It preserves the original content's semantic meaning while materializing Hugo-specific constructs into clean Markdown.

A powerful skill for generating scripts using Puppeteer, enabling robust browser automation, data scraping, and PDF creation. Use this when you need to simulate user interactions, perform complex web testing, or extract content from dynamic websites, including handling wait strategies, network interception, and generating media files.

Use this skill to structure, outline, and write comprehensive, step-by-step technical tutorials, quickstarts, and code walkthroughs. It guides the creation process from setting prerequisites and defining audience context to ensuring progressive complexity and robust troubleshooting sections, resulting in high-quality, actionable developer content.

A comprehensive presentation template designed for educational workshops and training sessions. It features a warm paper aesthetic, persistent learning objectives on the left sidebar, core content slides, interactive Multiple Choice Question (MCQ) self-assessment pages, and module wrap-ups, ensuring a structured and engaging learning experience.

A sophisticated presentation template designed for technical content, mimicking the clean, professional aesthetic of GitHub blogs or product changelogs. It features a dark GitHub-dark background, vibrant purple and blue radial ambient lighting, a multi-color gradient title, and dedicated GitHub-style code blocks. Perfect for tech talks, deep-dive tutorials, and developer documentation.

A specialized presentation deck template designed for internal engineering talks, technical conferences, and deep-dive knowledge sharing. It features a professional GitHub-dark theme, JetBrains Mono coding font, and a structured layout including Cover, Agenda, main content slides (with code blocks), demo slides (terminal screenshots), and Q&A sections.

A comprehensive three-column layout template designed for high-readability technical documentation, such as API references, tutorials, and guides. It features a sticky side navigation, main article body with support for code blocks and callouts, and a scroll-spy Table of Contents (TOC). Includes search and version control.

Implements a robust caching strategy by using the SHA-256 hash of file content as the primary key, instead of the file path. This pattern is essential for high-cost file processing pipelines (like OCR, PDF parsing) because it ensures cache hits survive file renaming or moving, while still automatically invalidating entries when the content changes. It adheres to the Single Responsibility Principle (SRP) by isolating caching logic into a service layer wrapper.

This tool automates the generation, updating, and maintenance of technical documentation. It features advanced 'drift detection' capabilities, comparing the current codebase against existing documentation to proactively flag inconsistencies. Use it when refreshing docs, updating content, or setting up recurring documentation maintenance schedules for APIs or full projects.

This pattern is designed to solve context limitations in complex multi-agent workflows. Instead of relying on a single, massive context dump, it implements a structured, multi-cycle loop (Dispatch -> Evaluate -> Refine -> Loop). This process iteratively refines the search query by scoring content relevance and identifying missing context gaps, ensuring sub-agents gather the most targeted and highly relevant information needed for tasks like debugging or feature implementation.