Technical Writing

Building comprehensive brand identity systems from strategy to implementation. Covers logo design, color palettes, typography pairing, voice guidelines, and system documentation. Use when creating new brands, rebranding, or systematizing existing identities.

Core engineering standards during implementation. Use when implementing features, writing production code, or when user mentions error handling, constants management, progress logging, or code quality standards.

Phoenix framework guidelines for router configuration and deprecated modules. Use when writing Phoenix router files, adding routes, or configuring scopes. Prevents duplicate module prefix bugs from scope aliasing and use of deprecated Phoenix.View.

Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.

Critical Phoenix LiveView guidelines that prevent common bugs, memory issues, and deprecated patterns. Use when writing LiveView modules, LiveView tests, or working with streams, navigation, forms, or JS hooks. Prevents memory ballooning from improper collection handling, deprecated function usage, and common test failures.

This skill generates interactive mathematical function plots using Plotly.js for iframe embedding in intelligent textbooks. Creates visualizations with hover tooltips, interactive sliders to move points along curves, responsive design optimized for narrow layouts, and comprehensive educational documentation. Use this when users request plotting mathematical functions, graphing equations, visualizing f(x), or creating interactive function explorers for calculus, precalculus, physics, or engineering courses.

Comprehensive guide for creating and managing MkDocs documentation projects with Material theme. Includes official CLI command reference with complete parameters and arguments, and mkdocs.yml configuration reference with all available settings and valid values. Use when working with MkDocs projects including site initialization, mkdocs.yml configuration, Material theme customization, plugin integration, or building static documentation sites from Markdown files.

This skill creates or updates a README.md file in the GitHub home directory of the current project. The README.md file it generates will conform to GitHub best practices, including badges, project overview, site metrics, getting started instructions, and comprehensive documentation.

Research and generate Azure deployment guide with EasyAuth (Google + Facebook) and CosmosDB. This skill searches for current documentation and screenshots to produce an up-to-date setup guide at .docs/azure-setup-guide.md.

Validate and auto-fix GitHub Flavored Markdown links in PR descriptions. Use when creating pull requests, mentioning PR links, gh pr create, GFM validation, or fixing broken PR links. Converts repo-relative paths to branch-specific blob URLs.

Quality gates for frontend code. ALWAYS use after writing React/Next.js code and before delivery. Covers: ESLint linting, TypeScript type-checking, Prettier formatting, browser console debugging. Catches errors before they reach users.

Comprehensive codebase analysis for building mental model of project structure, dependencies, and implementation context. Use when needing to: (1) Understand project architecture before review or documentation, (2) Find dependencies and shared modules, (3) Locate implementation markers (AICODE-*), (4) Prepare context for review, memory generation, or agent creation. Triggers on: analyze code, load code context, scan codebase, understand project structure.

This skill automates the capture of high-quality screenshots for MicroSim visualizations using Chrome headless mode. Use this skill when working with MicroSims that need preview images for social media sharing, documentation, or quality assessment. The skill handles JavaScript-heavy visualizations that require proper rendering time and external CDN resources.

Up-to-date library documentation retrieval using Context7 MCP tools. Process THINK → RESOLVE → FETCH → APPLY. Use when fetching library docs, resolving package names to IDs, getting implementation guides, exploring API references. Provides package resolution strategy, trust score evaluation, token scaling (3K-20K), topic selection patterns.

The model must apply when tasks involve .gitlab-ci.yml configuration, GitLab Flavored Markdown (GLFM) syntax, gitlab-ci-local testing, CI/CD pipeline optimization, GitLab CI Steps composition, Docker-in-Docker workflows, or GitLab documentation creation. Triggers include modifying pipelines, writing GitLab README/Wiki content, debugging CI jobs locally, implementing caching strategies, or configuring release workflows.

Universal markdown content quality standards for active voice, heading hierarchy, accessibility compliance (alt text, WCAG AA contrast, screen reader support), and professional formatting. Essential for all markdown content creation across docs/, Hugo sites, plans/, and repository files. Auto-loads when creating or editing markdown content.

Markdown documentation standards for LLM-optimized architecture including section numbering rules for Pandoc PDF generation. Use when writing markdown documentation, creating skills, or authoring content that may be converted to PDF.

Straightforward text extraction from document files (text-based PDF only for now, no OCR or docx). Use when you just need to read/extract text from binary documents.

Create ASCII architecture diagrams for ADRs using graph-easy. Use when writing ADRs, adding diagrams to existing ADRs, or when user mentions "ADR diagram", "architecture diagram", "ASCII diagram". Zero external dependencies for rendering - pure text output embeds directly in markdown.

Terraform infrastructure-as-code best practices for scalable and maintainable cloud infrastructure. Use when writing Terraform modules, managing infrastructure state, or implementing infrastructure automation at scale.