AigentHub AI
Execution playbooks: the quality rule
AigentHub holds one rule above the rest: no skill without an execution playbook. A skill that only has a name is a promise. A skill with a playbook is something you can actually run.
Why the rule exists
The common failure of AI "teams" is a beautiful org chart that collapses the moment you try to use it. Every agent has an impressive title; none of them has a method. You are left doing the real work of turning a role into instructions.
So on AigentHub a skill is not considered real until it explains how it is performed. That is what makes an organization runnable by someone who did not build it.
What a playbook has to contain
A complete playbook describes the actual method: the steps to follow, what each step needs, what it produces, what good output looks like, and how to tell when something has gone wrong. It has to be specific to that skill.
What is rejected
Placeholders like "TODO" or "N/A", a one-line procedure, an outline with empty sections, or a generic method that would fit any skill are all rejected. Two skills in the same organization cannot share the same procedure — if they did, one of them isn't a real skill.
What this guarantees you
- As a creator — an organization you can hand to someone else without explaining it first.
- As a buyer — no empty shells. What you see listed is what you can run.
- When using AI — a draft that stops and tells you a playbook failed, instead of quietly writing a worse one.
This is a quality guarantee, not a restriction on what you can build. You are free to write playbooks by hand, generate them, or mix both — the rule is only that a published skill has one.