Give your AI a Hat, not another prompt.
You built a great AI. Nobody else can put it on. The better you get at shaping how an agent behaves, the more that shape lives in your head, your repo, your personal prompt file.
Prompt engineering at the team level is still a solo sport.
Every builder is an island. No discovery layer. No shared vocabulary. No way to know what roles already exist, what works, what's already been solved.
Git was built for code. It was never built for the thing that makes an agent an agent: its role, its tools, its instructions, its assets.
Duplicated agents across teams
Inconsistent behavior from the same 'role' in different mouths
Context that evaporates the moment someone changes project
And then the model changes.
Every time a provider ships an update, deprecates a model, or drops a new flagship, the rewiring begins. Prompts tuned to one model's quirks break. Tool bindings drift. Weeks of tuning turn into weeks of re-tuning. Not because the role was wrong. Because it was fused to the thing it ran on.
Hats. AI roles as infrastructure, not prompts.
On Skilder, an AI role is a Hat. A Hat is a first-class object in your workspace that bundles the skills, tools, instructions, and assets an agent needs to be something: a support rep, an analyst, a DevOps operator, a solutions engineer.
A Hat is stateless and model-agnostic. It defines what an agent can do and should do, not what it remembers. Session state lives with the agent. Capability lives in the Hat. That separation is what makes a Hat portable.
Registered once. Versioned. Worn at runtime by any MCP-compatible agent.
When the model changes, swap the provider key. The Hat still fits.
When a teammate needs the same role, they put on the Hat. They don't rebuild it.
When a new agent comes online, it's issued an API key, discovers its Hat, and knows exactly what it can do. No wiring.
One Hat. Many agents. Zero rewiring.
What one builder makes, the whole team puts on.
Publish a Hat to your workspace and it becomes shared infrastructure overnight. Other builders discover it in Studio, fork it, extend it, compose new skills into it.
A support Hat built by one engineer becomes the starting point for the next five. An analyst Hat tuned for your data stack gets inherited by every new agent that joins the org. Organization Units group Hats by team, department, or function, so the right roles surface to the right people.
Your org's AI capability compounds instead of restarting with every new project.
Built for builders who think in systems, not scripts.
Under the hood, Skilder is a graph-native role registry with a managed MCP runtime. The architecture is built around one idea: the Hat is the unit of capability, and everything else serves it.
MCP-native by design
Agents connect via STDIO or Streamable HTTP and discover their Hat's capabilities through the open standard.
API keys issue Hats
Scope what an agent can do the moment it connects. No per-agent bespoke wiring.
Managed tool runtime
MCP servers run in Skilder's infrastructure. No Docker on your laptop, no deploy pipeline per tool.
Script SDK
Write TypeScript or Python inside a skill to call other tools, spawn sub-agents, and chain workflows.
Bring your own keys
Anthropic, OpenAI, Google, Infomaniak, Ollama. No markup, no lock-in.
Model and framework agnostic
The Hat is decoupled from the thing it runs on. Swap providers without rewriting roles.
For AI builders tired of hand-rolling the same role twice.
You're the first AI hire, or part of a growing platform team. You've shipped agents that worked brilliantly for one model, one project, one teammate. And you've watched half of them rot the moment anything changed. Skilder gives your roles a place to live, compound, and survive change.
Build your first Hat. Free.
Compose a few skills. Publish a Hat. Issue an API key. Watch your agent discover its role at runtime.