Agents

A clear signal showed up on GitHub Trending today: agent skills are having a moment. On the daily chart, obra/superpowers reached rank 2 with an agentic skills framework and software development methodology. K-Dense-AI/scientific-agent-skills reached rank 3 with ready-to-use skills for research, science, engineering, analysis, finance, and writing. The monthly chart is even louder: mattpocock/skills, multica-ai/andrej-karpathy-skills, ComposioHQ/awesome-codex-skills, addyosmani/agent-skills, NousResearch/hermes-agent, zilliztech/claude-context, and rohitg00/agentmemory all appear in the same cluster. This is not just another batch of prompt templates. ...

If you still think “AI for creators” means typing one prompt and getting a viral post, you are looking at the wrong layer. The interesting shift in 2026 is not that one tool can write a better headline. It is that every step of the creator workflow is starting to grow an agent around it. One tool looks for SEO opportunities. Another turns your voice and screen into a video. Another schedules posts across social platforms. Another generates short videos. Another turns documents into editable slides. ...

For the last year or so, many of us have built a simple habit around AI: ask a question, wait for a long Markdown answer. Headings, bullet points, tables, bold text, code blocks. It looks organized, and it is genuinely better than plain text. But lately I have been feeling that asking AI only for Markdown is a bit like buying a color TV and using it as a radio. ...

Over the last two years, people have gotten used to one basic fact about AI: it talks well. It writes copy, summarizes meetings, fixes code, and tidies up messy material into something presentable. But even when those capabilities are impressive, AI still often behaves like an advisor. It tells you what to do next. You are still the one who clicks the button, enters the card, chooses the service, and takes responsibility for the action. ...