One workspace. Different ways to make it better.
Skill builders — “Someone may have solved this already. I need a starting point I can maintain.” Find and adapt existing skills in the AI tools you use. Test changes, share reviewed versions, and use evidence from real work to guide the next revision.
Skill consumers — “I want this to help with my work. What do I need to use it?” Find a useful starting point, understand its access requirements, and put it to work through your team’s supported AI tools.
AI workflow owners — “Does this workflow still deliver the outcome we need?” Define what good looks like, review the evidence, and decide when a shared workflow should improve, expand, or retire.
Admin & security teams — “How can people experiment while we keep shared work accountable?” Review ownership, access, and security findings. Help teams decide what stays local and what is ready for broader use.
The thinking behind brain
- WTF Is the Context Layer? · Prukalpa Sankar, AI Engineer — the lessons from building a shared company brain across a changing agent stack.
- The GitHub for Context Doesn’t Exist Yet · Context & Chaos — why shared context needs ownership, dependencies, review, and a controlled path for improvement.