Template
Service Flow Intake Worksheet
List the service type, triggers, inputs, roles, decisions, exceptions, and handoff outputs.
Use the intake
Resources
Helpful starting points for AI Skill Making.
Use these example resources to frame source collection, workflow mapping, and QA review.
Resource library.
Each item is a demo content card that can become a real downloadable asset later.
Checklist
AI Skill QA Review
Review policy boundaries, prohibited actions, edge cases, human escalation, and output quality.
See review questionsGuide
SOP Cleanup For Skill Making
Prepare source documents so the important rules, examples, and exceptions are easy to extract.
View servicesDeploy
Static Demo Handoff
Publish a demo site with route, package, publish, and checksum receipts for stakeholder review.
Learn the method
Visual resource
Show the workflow artifacts beside the written guidance.
The supporting image makes the resources page feel complete while still avoiding unreadable fake UI text and placeholder stock photography.
Implementation notes
A good AI Skill project starts with a narrow workflow and a small evidence set. The first review should answer three questions:
1. Does the skill understand the service path? 2. Does it know where the boundaries are? 3. Does it produce outputs that operators can inspect quickly?
For this Ensemble example, the resources page also proves that a content-root-driven site can carry product content, documentation, and deploy instructions without becoming a custom app.
Want the intake worksheet adapted to your business?
Share one workflow and the team will shape the first AI Skill Making pass around it.