Explore the latest in AI automation, workflow optimization, and technology insights to transform your business.
There's no single official Claude Skills Marketplace. Skills ship inside plugins across two Anthropic-run catalogs and Anthropic's own GitHub repo, plus a few independent community sites that index or curate skills separately. Here's where to actually find them, and the real path to submit one.
What a vector database does differently from a traditional database, when an AI agent genuinely needs one, and what to consider when choosing between options.
What synthetic data is actually useful for, the main generation approaches, and where it falls short of real-world validation before a launch.
What spec-driven development means for AI coding agents, how it differs from prompting, what a good spec contains, and a lightweight workflow to start using it.
What counts as a small language model, why on-device deployment matters beyond cost, where SLMs fall short of frontier models, and when to use each.
What a Slack-integrated AI agent actually does well, the permission and access questions to answer first, and the two failure modes this integration tends to produce.
Why shadow AI spreads so easily inside organizations, the specific risks it creates, and how to address it without just banning tools that solve a real problem.
What a responsible AI framework actually consists of, how it differs from scattered good practices, and how to build one that shapes real decisions.
What actually differs between a reasoning model and a chat model, the real trade-offs in latency, cost, and accuracy, and how to decide which one fits a given task.