Technical Writing

General development guidelines prioritizing readability over performance, with rules for meaningful comments. Use when writing any code in this project.

Design and build reusable UI components following Astro's server-first architecture with islands, proper component composition, TypeScript props, and strategic client-side hydration. Use this skill when creating or modifying Astro components, React/Vue/Svelte islands, layout components, or any reusable UI elements. When working on .astro component files, framework component files (.jsx, .tsx, .vue, .svelte), layout components, page components, component prop interfaces, slot implementations, client directive usage (client:load, client:idle, client:visible), scoped component styles, or component documentation and examples.

Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.

Provides SVC naming conventions, comment style, code structure order, and reset patterns. Triggers when writing or modifying any .sv file.

High-performance JSON and CSV parsing library for Clojure. Use when working with JSON or CSV data and need fast in Clojure, efficient parsing/writing with a clojure.data.json/clojure.data.csv compatible API.

Follow development best practices including consistent project structure, clear documentation with README files, version control best practices with clear commit messages, environment configuration using environment variables, minimal dependency management, code review processes, testing requirements, feature flags for incomplete features, and changelog maintenance. Use this skill when organizing project files and directories, writing commit messages, managing dependencies, setting up environment configurations, establishing code review processes, or maintaining project documentation. This skill applies when working on project organization, git workflows, dependency management, or any project-level conventions.

Fallback formatter that extracts tasks from any document structure using best-effort pattern matching. Use when user says 'format unknown document', 'extract tasks from any document', 'process mixed content', 'handle custom format', or when detect-input-type returns 'generic'. Handles ADRs, custom docs, and novel structures in .md files. (plugin:task-streams)

Comprehensive guide to Python async/await patterns, best practices, and anti-patterns. Covers asyncio fundamentals, coroutines, async context managers, task management, common libraries (aiohttp, aiofiles, asyncpg), framework integration (FastAPI, Django), performance considerations, and proper exception handling. Use when reviewing or writing asynchronous Python code.

Convert OSCAL documents between formats (JSON, YAML, XML) and to human-readable formats like Markdown or plain text. Use for document transformation, reporting, and making OSCAL data accessible to non-technical stakeholders.

Access pattern library extracted from existing templates for reuse when creating new templates. Use when creating .md files for commands, agents, skills or when generating CLAUDE.md, README.md, or settings.json. Provides templatable patterns and quick-start presets.

Initialize complete Python project with comprehensive documentation, development environment, and tooling. Use when creating a new Python project from scratch.

Automate CHANGELOG maintenance and stakeholder communication for brand strategy changes. This skill should be used when updating strategy documents to ensure proper documentation and change tracking.

Run dotnet test, capture failed test cases, and generate a rerun filter plus a markdown failure summary. Use when test runs fail and you need a focused rerun command or a compact failure report.

This skill should be used when users request research on a topic with the intent to save findings to a document. It provides a systematic workflow for conducting web research, synthesizing information from multiple sources, and creating well-structured documentation. Trigger words include "research and save", "look up and document", "find information about and write", or any request that combines information gathering with file creation.

Convert documents (PDF, EPUB, PPTX, DOCX, XLSX, HTML, images) to Markdown using Datalab cloud API. Use when user wants to use Datalab API for document conversion, or prefers cloud-based processing over local marker CLI.

Search for books using Google Books API (by title or ISBN) and generate a Hugo markdown post with book metadata including cover, description, author, etc. Use when the user provides a book title or ISBN.

Process learning resources from markdown files, extract content, identify clusters, and create Ship-Learn-Next learning paths

Create or update numbered task docs using repo context, DOC_TEMPLATE.md, and naming conventions.

Guide for creating effective Agent Skills following Anthropic best practices. Use when creating new Skills, updating existing Skills, validating Skill structure, or packaging Skills for distribution. Includes workflows, validation scripts, and comprehensive reference documentation.

Create and organize public documentation pages using Fumadocs. Use when building new documentation pages or organizing existing ones.