Technical Writing

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.

CRITICAL for ALL Elixir/Phoenix/Ash development work. Invoke when working with Elixir code, Ecto schemas, Ash resources, Phoenix applications, or databases in Elixir projects. Provides MCP tools for live code evaluation (via IEx), instant module navigation, direct SQL execution, schema introspection, and documentation access. Tidewave provides superior alternatives to bash/grep/read for Elixir tasks.

This skill generates interactive Venn diagram visualizations using the venn.js JavaScript library. Use this skill when users request creating Venn diagrams, set visualizations, overlap diagrams, or comparison charts for educational textbooks. The skill creates complete MicroSim packages with standalone HTML files featuring colorful circles, clear labels, and interactive tooltips, saved to /docs/sims/ following the MicroSim pattern.

This skill generates comprehensive metrics reports for intelligent textbooks built with MkDocs Material, analyzing chapters, concepts, glossary terms, FAQs, quiz questions, diagrams, equations, MicroSims, word counts, and links. Use this skill when working with an intelligent textbook project that needs quantitative analysis of its content, typically after significant content development or for project status reporting. The skill creates two markdown files - book-metrics.md with overall statistics and chapter-metrics.md with per-chapter breakdowns - in the docs/learning-graph/ directory.

Research-driven critique and enhancement of Amelia architecture or ideas docs. Use with GPT-5.2 when given a design/architecture doc to analyze concepts, find sources, and propose improvements plus OSS candidates.

Enforce line limits (CLAUDE.md ≤100, others ≤200) and remove low-ROI content from .md files, use when optimizing or refactoring docs (project)

Generates professional API documentation, user guides, and architectural documentation from code and specifications.

This skill generates interactive Chart.js visualizations for use in iframes using any chart type supported by the library (line, bar, pie, doughnut, radar, polar area, bubble, scatter). Use this skill when users need to create data visualizations for educational content, reports, or dashboards. The skill creates complete MicroSim packages with HTML, CSS, and documentation.

When creating a README for a Python package. When preparing a package for PyPI publication. When README renders incorrectly on PyPI. When choosing between README.md and README.rst. When running twine check and seeing rendering errors. When configuring readme field in pyproject.toml.

This skill generates interactive comparison table MicroSims for educational content. Use this skill when users need to create side-by-side comparisons of items with star ratings (1-5 scale), difficulty badges (Easy/Medium/Hard), logos, hover tooltips, and description columns. The skill creates a complete MicroSim package with HTML, CSS, logos directory, index.md documentation, and metadata.json, then updates mkdocs.yml navigation.

Professional PDF generation from markdown using Pandoc with Eisvogel template and EB Garamond fonts. Use when converting markdown to PDF, creating white papers, research documents, marketing materials, or technical documentation. Supports both English and Russian documents with professional typography and color-coded themes. Mobile-optimized layout (6x9) by default for Telegram bot context, desktop/print layout (A4) for other contexts.

Validates ASCII box-drawing diagram alignment in markdown files. Use when creating architecture diagrams, checking diagram alignment, fixing ASCII art, or before committing documentation with diagrams.

Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

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.