A practical edition this week. Agent Skills are quietly becoming the most important AI organizational concept of 2026, and most teams haven’t started thinking about them yet.
Agent Skills: a practical playbook for what's actually working
A deep dive on Agent Skills — the reusable instructions that make AI agents actually useful. Worth reading if you're trying to get past one-off prompts.
- What Agent Skills actually areMy take: Folders of instructions, scripts, and resources that act as playbooks for AI agents. Stored as readable markdown. The big advantage over custom GPTs or Gems: they're portable between platforms (Open Interpreter, Cursor, Notion, and more). If you've built valuable custom GPTs, you're locked into OpenAI. Skills give you portability.
- When to build a skillMy take: If you do a task more than three times, build a skill. If you find yourself pasting the same complex instructions repeatedly, build a skill. If you need consistent output format, build a skill. This is the simplest discipline I've seen for moving teams from ad-hoc AI use to systematic AI use. One rule, easy to communicate, hard to argue with.
- The anatomy of a great skillMy take: Four parts: a precise trigger (so the agent knows when to use it), a playbook-style body (numbered steps, not prose), a clear output format (ideally with an example), and a 'gotchas' section telling the model what NOT to do. That last bit is the highest-signal content. Most people skip it. Don't.
- Common skill killers to avoidMy take: Vague triggers (skill never invoked), over-defining the process (railroads the model), wasting tokens on things the model already knows, skipping the gotchas section, and creating one monolithic file instead of a well-organized folder. The pattern is the same as every other knowledge-management discipline: small, modular, well-named pieces beat large monoliths every time.
- Skills at an organizational levelMy take: The pattern is: discover (audit workflows), curate and build (best practices), validate (peer review and test), package and distribute (group into 'plugins' for teams), and maintain (clear owners, monthly review). Treat skills like product. If you're CIO or COO, this is the kind of infrastructure that compounds. Build a small skills library this quarter.
- Security warning on third-party skillsMy take: Skills can run scripts with your agent's permissions. Treat them like any other executable code. Always verify the source. Read the code. The reality is that a marketplace for skills is forming, and supply-chain security will become a real concern fast. If you're using shared community skills, lock them down.