Your best AI work belongs to the whole team.
Skill sharing means the people closest to the work build the skills, and the team reviews, shares and improves them.
One person solves it,
the next makes it better.
A shared skill captures what made a chat work, so a colleague can run it, adapt it and propose a better version. A reviewer decides what reaches the team.
Match these invoices to the customer records. Flag anything you cannot confidently match.
Matched records and exceptions, ready for your review.
A colleague finds an exception
“The billing name is different from the CRM name.”
Use the account ID mapping first. If there is no match, send the record for review.
Keep the duplicate check.
Add the account ID matching rule.
Send unmatched records for review.
A reviewer checks the final version before it goes live.
Assigned to Finance
Keep the expertise while the skill keeps improving
Review the actual changes
See what a colleague proposes before it goes to the team.
Protect local improvements
A team update never erases someone’s own version.
Share with the right team
Approved skills reach the people who need them, and update on sync.
Check the result as well as the skill.
Agree what a good result looks like, test the hard cases, then see which models clear the bar.
Once a skill passes, teams run it on the cheapest model that passes too.
See what this does to your AI billGet help building your first shared skillsExample acceptance checks · Invoice reconciliation
Questions we get asked
Do employees need to know Git?
Can people experiment without changing the team’s version?
What if two people improve the same skill?
Can we use skills we already keep in GitHub?
Can you help us build our first skills?
Bring the workflow your team already relies on.
We’ll help turn it into a skill the whole team can use and improve.