gomponents
Guide for working with gomponents, a pure Go HTML component library. Use this skill when reading or writing gomponents code, or when buildin
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About
Guide for working with gomponents, a pure Go HTML component library. Use this skill when reading or writing gomponents code, or when building HTML views in Go applications.
Details
- Kind
- Agent skills
- Topic
- No topic detected
- Publisher
- maragudk
- Origin
- majiayu
- Category
- ferramentas
- Stars
- 17
- Forks
- 8
- Last push
- 2026-03-27T14:01:08Z
- Repository state
- ativo
- Language
- Shell
- License
- MIT
- Added
- 2026-08-30 15:39:04
- Updated
- 2026-08-30 15:39:04
- Origin id
maragudk/skills/development/gomponents@main
README
# skills > **Note:** Skills have moved to [maragudk/factory](https://github.com/maragudk/factory). <img src="logo.png" alt="Logo" width="300" align="right"> Skills for AI agents. Made with ✨sparkles✨ by [maragu](https://www.maragu.dev/): independent software consulting for cloud-native Go apps & AI engineering. [Contact me at markus@maragu.dk](mailto:markus@maragu.dk) for consulting work, or perhaps an invoice to support this project? ## Usage Install skills with [npx skills](https://skills.sh): ```shell npx skills add maragudk/skills ``` ## Available Skills - **address-code-review** - Address code review feedback by walking through comments one at a time (GitHub PR, document, or conversation) - **autoresearch** - Autonomous experiment loop that iteratively improves a measurable metric through branching, measuring, and keeping or discarding changes - **bluesky** - Guide for posting content to the Bluesky social network using the bsky terminal app - **brainstorm** - Guide for brainstorming ideas and turning them into fully formed designs through iterative questioning - **code-review** - Guide for making code reviews using competing agents to find architecture and implementation issues - **collaboration** - Guide for collaborating on code in open source projects (forking, PRs, reviews, issues) - **datastar** - Guide for building interactive web UIs with Datastar and gomponents-datastar - **decisions** - Guide for recording significant architectural and design decisions in `docs/decisions.md` - **design-doc** - Guide for writing design documents and specifications, especially after brainstorm or feature design sessions - **diary** - Implementation diary that captures the narrative of your work: what changed, why, what worked, what failed, and what was tricky - **garden** - Autonomous project gardening: scans for maintenance issues, picks one, fixes it in a worktree with self-review, and opens a PR - **git** - Guide for using git according to preferences (branch naming, commit messages, issue references) - **go** - Guide for developing Go apps and modules/libraries (code style, testing, dependency injection, package structure) - **gomponents** - Guide for working with gomponents, a pure Go HTML component library for building HTML views - **marimo** - Guide for creating and working with marimo notebooks, the reactive Python notebook that stores as pure .py files - **nanobanana** - Guide for generating and editing images using generative AI with the nanobanana CLI - **observable-plot** - Guide for using Observable Plot, a JavaScript library for exploratory data visualization with marks, scales, and transforms - **save-web-page** - Guide for saving a web page for offline use using the [monolith CLI](https://github.com/Y2Z/monolith) - **sql** - Guide for working with SQL queries, in particular for SQLite (queries, schemas, migrations) - **worktrees** - Guide for using git worktrees to parallelize development with coding agents in isolated environments ## See also - [evals-skills](https://github.com/maragudk/evals-skills) - Skills related to LLM evaluation workflows