[CodePen Spark] AI Skills

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This special AI edition of the CodePen Spark is brought to you by Multiverse Computing. They allow you to run powerful LLM models at a fraction of the cost with the same standard API integration, so you can build AI tools faster and less expensively. Stay tuned for a fresh helping of intersting AI links.
CompactifAI API, by Multiverse Computing, is an OpenAI-compatible inference API that gives developers access to leading open-weight models at lower prices than other inference providers: GLM 5.3, Qwen 3.8 27B, Whisper Large V3 Turbo and more, plus Quasar 358B, Multiverse Computing's own model family.
We have cut prices by up to 4x! GLM 5.3 for less. $0.20 input / $0.64 output per 1M tokens, lower than any provider currently listed on Artificial Analysis and 85% below Z.ai's own API ($1.40 / $4.40). Cached input is $0.018 per 1M tokens, which cuts the cost of agents that resend the same context.
Quasar 358B, our own model, at $0.11 input / $0.33 output per 1M tokens.
Nothing to rewrite. The API is OpenAI-compatible, so pointing an existing project at it is a base URL and a key. No new SDK, no refactor.
Start Building With $10 Free Credit
For all new sign-ups No infrastructure to stand up
Skills
Matt Pocock's Skills (and a Review)
Matt's skills always top the charts for popularity. We use plenty of /grill-with-docs around here ourselves, as it forces us to think through ideas with a lot of detail.
Colin Eberhardt has "decidedly mixed" feelings :
At times it felt like we were simulating the rituals of software engineering, but without the judgement that makes these processes genuinely valuable.
Skills
cascade.reasoning
Three deterministic rule systems: css-engineer, css-reviewer, and css-refactor, that route into one shared knowledge base, so AI coding agents generate, audit, and modernize CSS the same way every time.
Skills
Modern Web Guidance
For front-end projects generally, Modern Web Guidance still seems like a pretty good idea. The webs capabilities evolve faster than the models themselves can. Brecht De Ruyte says :
...models were trained on the entire internet’s worth of blog posts and Stack Overflow answers, and most of that content is old. There is simply way more code in the world using the 2019 way than the 2026 way.
So with skills, we can teach it on-the-fly rather than wait for models to catch up.
Skills
CodePen Supports Skills
Put a custom skill into any Pen like:
.agents
skills
skill-name
SKILL.md
See a video where the skills job is to make any placeholder text CodePen AI generates has to be about breakfast burritos.
Article
How To Hire Engineers When AI Makes Everyone’s Code Look Good
What you’re actually hiring for: the why
The question is no longer just whether someone can get something working. AI can help with that. The question is whether the engineer understands why it works, why he built it that way, and why that was the best option among the ones he considered. An engineer who understands the why can explain his trade-offs and recognize the moment a solution stops being right because the requirements changed
Article
Is it an agent, or just a cron job?
It can be funny to watch an agent miscount the number of letters in a word. An LLM might suck at that job. But ask it to write a Python script to do that and it'll do it in 2 seconds.
David Demaree makes the point here that agents can be similarly misused to do something some code on a cron job might do.
... look for places where you can replace tool calls with a script the agent can run, or move the workload to scripts alone (which an AI can help you write and deploy).
Article
“AI, make the website good”
Zach Leatherman makes the point that fancy AI help, as with technological changes of yore, aren't seeming to translate to actual user experience improvements.
I will continue to make the argument that craft defined as caring about the quality of output (independent of the tools used to generate the output) is more important than ever. Caring about what you ship will always have real-world value
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9 November 2026 · 22:00 UTC