AI Skills for Ops

Automate spreadsheets, dashboards, and recurring workflows with AI in the loop.

7 skills curated 203 guides in our library

Why Ops Need AI

The three tasks that eat the most hours. AI gives them back.

  • Monthly reporting means stitching 6 spreadsheets into one deck, every single month.
  • A repetitive 12-step process (invoices, intake, triage) still runs manually because automation setup feels too technical.
  • Answers to recurring questions live across 50 internal docs, and nobody can find them fast.

What You Can Build

Build a live analytics dashboard, a Make or Zapier-style automation for repetitive tasks, a SOP-grade tables-plans-checklist, an internal Q&A tool over your docs, or a quality-and-risk review workflow in under a day each. Typical impact: 5 to 15 hours per week back from manual data pulls, copy-paste, and document hunting.

Ops FAQ

No. Every skill is written for Ops who have never built with AI before. You open the step, paste a prompt, review the output, and iterate. The only requirement is a real task on your desk and 30 to 60 minutes to ship it.

Start with Automation in Make. It is the fastest win for most Ops: you already know the shape of the output, so you can judge what AI produced in minutes and iterate until it is good enough to send. Once you ship one, the rest feel familiar.

Skip around. These skills are independent tasks, not a linear course. Pick whatever matches the work in front of you this week and do it start to finish with AI. The order you learn them in does not matter; the one you ship first does.