Git & Version Control

Set up and maintain continuous integration and continuous deployment pipelines with GitHub Actions, GitLab CI, Jenkins, or similar tools to automate testing, building, and deployment. Use when configuring automated builds, setting up test automation, implementing deployment automation, creating release workflows, managing environment deployments, configuring build caching, implementing blue-green deployments, setting up rollback strategies, or automating the entire software delivery pipeline.

Process, parse, create, and manipulate Microsoft Word (.docx) documents programmatically using libraries like docx or mammoth.js for document generation and data extraction. Use when generating Word documents from templates, extracting text and formatting from .docx files, creating reports and invoices, parsing resumes and forms, converting Word to HTML, creating mail merge documents, or automating document workflows.

OpenProse is a programming language for AI sessions. An AI session is a Turing-complete computer; OpenProse structures English into unambiguous control flow. More pattern than framework—it ships as a skill with no dependencies. Activate when: running .prose files, mentioning OpenProse, or orchestrating multi-agent workflows from a script. Use this skill if you ever want to kick off more than one subagent at a time, or orchestrate anything interesting between more than one subagent. Write a .prose file and save it in the .claude-plugin/ directory. Then embody the OpenProse VM, as described in prose.md, and execute it.

Process, parse, create, and manipulate Excel spreadsheets (.xlsx, .xls) using libraries like xlsx, exceljs, or SheetJS for data import/export and spreadsheet automation. Use when reading Excel files for data import, generating Excel reports, exporting data to spreadsheets, parsing bulk uploads, creating financial reports, manipulating workbooks and worksheets, or building data export features.

Build beautiful, accessible UI components using shadcn/ui library with Radix UI primitives and Tailwind CSS styling that you own and can customize. Use when creating accessible component libraries, implementing common UI patterns (dialogs, dropdowns, tooltips), building forms with validation, creating data tables, implementing command palettes, using Radix UI primitives, customizing components with Tailwind, or building design systems with full ownership of code.

Generate comprehensive changelogs from Git history, commit messages, pull requests, and issue tracking for release documentation. Use when preparing releases, documenting changes, creating release notes, categorizing commits, generating version summaries, maintaining project history, or automating changelog updates.

Generate 50-question interactive quizzes using the Quiz component with randomized batching. Use when creating end-of-chapter assessments. Displays 15-20 questions per session with immediate feedback. NOT for static markdown quizzes.

This skill should be used when deploying a Docusaurus site to GitHub Pages. It automates the configuration, building, and deployment process, handling GitHub Pages setup, environment configuration, and CI/CD automation. Includes local validation before GitHub Actions triggering.

Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for one-off prompts or generic "ask AI a question" patterns.

This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction process. Use this skill when a lesson file needs a `.summary.md` companion file, or when reviewing/refreshing existing summaries.

Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.

Systematic and adaptable code review methodology using Language Server Protocol tools. Adapts to available LSP capabilities across programming languages. Use when user asks for code reviews, quality assessments, or specific analysis of codebases in any programming language.

Use when nim's metaprogramming including macros, templates, compile-time evaluation, AST manipulation, code generation, DSL creation, and leveraging compile-time computation for performance and abstraction in systems programming.

Use when integrating Dialyzer into development workflows and CI/CD pipelines for Erlang/Elixir projects.

Use when testing GitHub Actions workflows locally with act. Covers act CLI usage, Docker configuration, debugging workflows, and troubleshooting common issues when running workflows on your local machine.

Manage aesthetic templates - save visual systems from completed mockups as interpretable prose, apply to new plugins with adaptive layouts

Use when configuring GitLab CI/CD variables, managing secrets, or integrating with external secret providers. Covers secure credential handling.

Use when typeScript async patterns including Promises, async/await, and async iterators with proper typing. Use when writing asynchronous TypeScript code.

Use when prettier plugins including plugin ecosystem, custom parsers, and plugin development.

Use when ruboCop CI integration including GitHub Actions, plugins, and performance optimization.