The 2026 #AISkillGap Challenge

Why I'm Doing This

I build AI agents for a living. Containerized digital employees that run around the clock, manage workflows, draft correspondence, and make decisions within guardrails. Open Claw, Nemo Claw — you've probably heard me mention them.

But here's the thing I've noticed: most of the useful AI skills aren't locked inside expensive platforms. They're patterns. Small, composable capabilities that any reasonably capable agent can learn if someone writes them down. And right now, nobody is writing them down.

So I'm going to.

The Rules

This is a challenge I've issued to myself. No leaderboard, no prizes, no submissions. The format is simple:

• Build something real — every post features something I actually created: a container, a script, a skill file, an integration. No theory without practice.
• Share the skill — every creation comes with a documented AI agent skill: what it does, how it works, when to use it, what to watch out for.
• Keep it accessible — the skills should be useful to anyone running autonomous agents, not just people with my specific stack.
• Post throughout the year — periodic updates as the challenge evolves, with all the wins, failures, and lessons learned along the way.

What You'll Find Here

Over the course of 2026, this blog will fill with:

• AI agent skill files ready to drop into any compatible runtime
• Deep dives into specific agent capabilities: research, reasoning, tool use, memory, delegation
• Real infrastructure: how I deploy, scale, and monitor production agents
• Failures — tools that didn't work, approaches that broke, lessons paid for in compute credits
• Container recipes, prompt patterns, security boundaries, and integration tricks

Post #1: Coming Soon

The first post is in the works. I'm documenting a skill I built to solve a genuinely annoying problem — one that cost me hours every week until I automated it. If you run agents, you'll want this one.

Subscribe to the newsletter or check back here for updates.

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