AI

Quiddity interviews you about your tools and process, then generates custom /new-issue, /next-task, and /approve skills tailored to how you actually work. One install, one setup command, and you're off.

The final post in my series on skills for dev workflow. A /new-issue skill lets you describe a bug or feature in a sentence and get back a well-structured issue with wireframes and acceptance criteria — better than most people write by hand.

As your agent skills grow, some parts want to be their own thing. Here's how I used a simple prompt to extract a standalone /approve skill from my /next-task skill — and why thinking of skills like functions leads to better workflows.

A step-by-step guide to building a /next-task agent skill that pulls from your issue tracker, manages branches, implements changes, and opens PRs. Customize it for your own tools — Linear or Jira, GitHub or GitLab.

One of the most exciting things about LLMs is their ability to do useful things that would be hard to script in the traditional sense. Skills take this further, letting you build intelligent workflows that handle the messy, context-dependent parts of product development.

Back in January, I posted on LinkedIn about using AI to build a documentation site for Opine. This prompted Adam Stokoviak to reach out about joining him on the Changelog & Friends podcast to talk about AI and the modern frontend. Adam and I have been friends for a very long time now, having collaborated on The Sass Way together. He's a great host, and really put me at ease as we talked about how I'm using AI in my own workflow as a designer. On the show we discussed how I'm integrating AI into my workflow as a designer. We also talked about Framer and Figma, Next.js, and other topics.