Product Leader and Super IC at Google

Most product builders use AI agents the same way they used search - typing queries and hoping for the best. That's leaving most of the value on the table.
The teams pulling ahead aren't using better prompts. They're teaching their agents. Agent Skills are reusable, testable instruction sets that tell AI agents exactly how to handle specific workflows: your deployment process, your code review standards, your team's edge cases. Write one skill well, and every agent on your team benefits from it, every time, automatically.
The problem: nobody is teaching product builders how to create them. Most documentation is written for a narrow technical audience, and the tooling is fragmented across Claude Code, Codex, and Gemini.
In this hands-on workshop, you'll go from zero to a working skill installed in your own agent: one that reflects your real workflows, not generic templates. You'll also learn how to evaluate and improve skills systematically, so they get better over time instead of drifting.
If you build or are hoping to build products with AI agents: this is the highest-leverage skill you can develop right now.
Learn why stuffing instructions into CLAUDE.md breaks at scale, and how the progressive disclosure model behind Agent Skills solves the context window problem for good.
Cut through the confusion. Understand exactly when to use a skill, an MCP server, a subagent, or an always-on config file — and why getting this wrong wastes weeks of effort.
Walk through the structure of a production-ready skill - frontmatter, instructions, gotchas, defaults, and scripts - and see how the same file deploys across Claude Code, Codex, and Gemini.
Hands-on exercise. You'll author a real skill for a workflow you own, install it in your agent, and invoke it live. Leave with something working, not just notes.
Learn how to design binary eval criteria and run the autoresearch loop: an autonomous improvement cycle that takes skills from 50% baseline to 85%+ accuracy overnight.
Product Managers: who use Claude Code or Codex daily but rely on ad-hoc prompts - and want repeatable, team-shareable AI workflows.
Entrepreneurs & Founders: building AI-native products who need their agents to encode business logic, not just generate code on demand.
Tech Executives & Product Leaders: who want their teams to stop reinventing prompts and start shipping a shared skills library.

Live sessions
Learn directly from Anshumani Ruddra in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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$399
USD
2 cohorts