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Skillacrity

Use cases

What it looks like in a working week

Six examples of how a company uses Skillacrity. The people and companies are illustrative.

The right skill, without asking

Priya, account manager

Priya opens ChatGPT and types “help me prep for my quarterly business review with Acme tomorrow.”

Her company’s “QBR prep” skill, written by the sales operations lead, arrives by itself. ChatGPT follows it: it asks for the account’s numbers and produces the outline in the team’s format.

Priya never searched for or selected anything. If no skill had fitted, ChatGPT would simply have answered as usual.

How it works: Works inside the AI tools you already use

It starts with one person, then IT rolls it out

Dana, financial analyst, and Marcus in IT

Dana signs up by herself and adds Skillacrity to Claude on her own computer, with no help from IT. She starts getting useful skills from the Skillacrity library straight away.

Over the next few weeks her coworkers sign up and join her automatically. Once the group has grown, Dana makes Marcus in IT an admin.

Marcus connects the company’s single sign-on and switches Skillacrity on for everyone, in Claude, ChatGPT and Microsoft 365 Copilot. From then on every employee gets the company’s skills in whichever AI tool they use.

How it works: A head start from our own skill library

An expert shares forty skills in one go

Sam, sales operations lead

Sam has about forty skills spread across his Claude account and a shared drive. He asks Claude to share them. Claude finds them, asks him once who should see them, and brings them all in.

Every skill is security-scanned and credited to Sam. Within minutes they are live for his team, and Sam opens his five best to the whole company.

Later he spots a typo and tells ChatGPT “update my QBR skill.” The fix is live for everyone.

How it works: Champions share with everyone

A sensitive skill, rolled out carefully

The legal team, and Marcus in IT

Legal has built a “contract redline” skill that applies the company’s negotiation playbook. Because it encodes legal positions, Marcus limits it to the twelve people on the legal and deals teams. Nobody else can see it or use it.

For two weeks the usage report shows it being used and working. Marcus then opens it to the whole company. The next morning, any sales rep who asks their AI tool to review a customer’s contract gets it.

A separate skill for calibrating performance reviews stays limited to HR for good.

How it works: Security and trust

Two versions become one, and keep improving

Sam and Priya

Skillacrity notices that Sam’s “QBR prep” skill and Priya’s “quarterly business review” skill do nearly the same thing. It drafts a merged version that keeps the best of both and shows it to each of them side by side. Both approve, and the company has one skill that credits them both.

Next quarter Priya notices the skill does not cover renewals. While working in ChatGPT she says “suggest an edit to the QBR skill to add a renewal-risk section.” Sam reviews the change, approves it, and everyone who uses the skill is told it has improved.

If either of them had said no, nothing would have changed. Nobody can overwrite someone else’s work.

How it works: Build on what works

Celebrating the people who share

Marcus in IT, and the CIO

At the end of the quarter Marcus opens the contributor report. It shows whose skills reached the most colleagues, and whose suggestions improved the most-used ones.

He shares the top ten with the CIO, who thanks Sam and Priya by name at the all-hands meeting.

Within a week, people who had never shared a skill are sharing their first.

How it works: Champions share with everyone

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