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Introduction to the episode and the concept of skills as SOPs for AI.
The problem of sharing skills across a team and the analogy to the Microsoft Word era.
Initial methods for sharing skills (file sharing, cloud drives) and their limitations.
Claude deleted my dot cloud folder with 150 skills with like probably 500 plus hours of work into it and I had no backups.
🎯— Reveals the vulnerability of local-only skill storage and the importance of cloud backups.
A good skill can save you like literally two hours a week, and you stack those up, and you know, it's game over.
🤯— Quantifies the time-saving potential of skills, making the value tangible.
Skills are SOPs for AI that package your preferences and processes into reusable markdown files.
Identify one repetitive task you do weekly and create a skill for it using Claude or Codex.
Add a self-improvement loop at the end of each skill to suggest updates based on usage.
Append a prompt to your skill files that asks the AI to review and propose improvements after each run.
GitHub repositories serve as a central source of truth for team skills, enabling version control and easy distribution.
Create a GitHub repo for your team's skills and set it up as a plugin in Claude Code.
Plugins allow you to bundle skills and distribute them across your team with auto-update.
Install the plugin on your team's Claude Code and Codex accounts and enable auto-update.
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