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skills

Note: Skills have moved to maragudk/factory.

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Skills for AI agents.

Made with ✨sparkles✨ by maragu: independent software consulting for cloud-native Go apps & AI engineering.

Contact me at markus@maragu.dk for consulting work, or perhaps an invoice to support this project?

Usage

Install skills with npx skills:

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
  • 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

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Skills for AI agents.

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