ros2-engineering-skills

Swift Concurrency Pro is an agent skill for Claude Code, Codex, Cursor, Gemini, and other coding assistants. It guides writing and review across async/await, actors, Sendable, task groups, structured concurrency, newer language features, and migration choices, with rules aimed at mistakes language models commonly make. After installation, users can invoke the skill with a dedicated command or natural-language request and narrow the review to a specific concern. It supplements an existing coding agent rather than running as a separate Swift development tool.

SwiftData Pro is an agent skill for Claude Code, Codex, Cursor, Gemini, and other coding assistants. It guides work with @Model, @Query, predicates, indexes, migrations, relationships, iCloud synchronization, and newer API behavior, focusing on errors and outdated patterns that language models commonly miss. After installation, users can invoke it to review current API usage, identify useful indexes, improve model design, or help enable cloud support. The skill works inside an existing Apple-platform project rather than as a standalone database tool.

compose-skill equips Codex, Cursor, and Claude Code with on-demand guidance for the Compose development lifecycle. Its references cover architecture, state and coroutines, navigation, networking, persistence, performance, accessibility, testing, build configuration, and distribution across Android, iOS, desktop, and web targets. It is an agent skill rather than a runtime library added to the app.

This repository provides a lightweight meta-skill rather than duplicating Streamlit's full development guidance. It detects the active Python interpreter, locates the installed Streamlit package, and points an AI assistant to bundled skills for dashboards, themes, layouts, session state, and components. Streamlit 1.57 and later ship those skills inside the pip package, while 1.58 adds the `streamlit skills` installer for project or global setup. Older versions fall back to online documentation, so the local workflow depends on an installed Streamlit environment.