Team Skills and Skill Operations
Build a skill once, let your whole team run it, track every change with history and revert, and expose it to outside tools through MCP.
The problem
Useful automation knowledge gets trapped in one person’s prompts and scripts. Everyone rebuilds the same capability, and nobody knows which version produced last week’s output.
How it runs today
Prompt snippets and helper scripts live in personal notes and chat threads, with no shared home, no change history, and no controlled way to hand them to other tools.
With Heym
Package instructions, Python tools, and bundled assets into a skill, or generate one with AI Build. Agents across the team attach the skill on the canvas, skills that need files read them from Heym Drive at runtime, and the skill can be exposed to outside clients through Heym’s MCP server. Every edit is recorded, and history shows what changed with a one-click revert.
The workflow, end to end
The CSV Stats Analyzer template is an importable starting point: an agent runs a bundled skill whose Python tool computes statistics over CSV data and returns a structured summary.
Where control lives
Skill history with revert, traces that show which skills each run used, and Drive permissions that keep generated files shared read-only with the right teams.
Shared capabilities the whole team can run and trust, with a clear record of what changed and when.
Built with these Heym capabilities
Common applications
Deployment and integration
- Self-host with Docker or Kubernetes, keeping data on your infrastructure.
- Connect your own model providers: OpenAI, Ollama, vLLM, and more.
- Integrate over HTTP, webhooks, Slack, email, and MCP tools.
- Expose finished workflows as APIs, portals, or MCP servers.
Have a process that fits this pattern?
Show us the workflow, data sources, tools, and human decisions involved. We will help map it to Heym.