connect existing assistant
Turn your assistant into a skill layer
Temet upgrades the assistant you already use into a skill audit and tracking layer built from real sessions, repeated patterns, and evidence.
No forced replacement
npx @temet/cli audit in Terminal.From assistant to skill tracking layer
Once connected, the same assistant workflow can produce a private skill audit, track meaningful changes over time, and later support a public profile if the output is worth sharing.
Practical next steps
Review what your work reveals, keep the result private at first, then decide whether to publish, track over time, or turn repeated patterns into a more reusable workflow.
Start from the assistant you already use. The audit reads your real sessions.
FAQ
Do I need enterprise tooling to start?
No. You can start with the product defaults and evolve your setup progressively.
Will this lock me to one model provider?
No. Temet is designed to sit above model providers as a skill discovery and tracking layer.
Can teams use this for peer learning?
Yes. Teams can use it to surface repeated strengths, review evidence, and decide what should stay private, be shared, or become a reusable team method.
Next step
Use this guide in practice with Temet's audit, tracking, and profile workflow.
Connect your agentPublished January 11, 2026