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skilder

Give your AI a real job to do.

skilder brings ready-made roles to Claude, ChatGPT and Copilot, the AI agents your team already uses.

Each role bundles the capabilities and actions to get real work done, grounded in your data and governed by your rules.

Sovereign hosting
Switzerland & EU
LLM-agnostic
proprietary and open-source models
Governed
audit & access control
Claude · ChatGPT · Gemini · Open Source Models

I need to onboard new clients.

One thing: should skilder also send the contract for signature, or just collect their details?

Send it for signature too.

Client Onboarding Assistant Ready

Capabilities

Client intake Details check Welcome sequence

Actions

HubSpot DocuSign

Great, onboard Bright Studio.

Bright Studio onboarded · contract sent for signature · added to CRM · welcome email on its way
Create your own role

Example · skilder composing a role

Works with your AI stack

The hidden cost

It’s already happening in ChatGPT. On scattered prompts no one governs.

Your teams are already automating their repetitive work in Claude, ChatGPT and Copilot, one personal prompt at a time. The same work re-automated in a hundred private silos, none of it ever becoming an asset the company can own, reuse and scale.

Silent leaks

Customer data, source code, contracts: pasted into uncontrolled tools.

Zero audit

No traceability. No policy. No way to prove compliance.

Lost value

Usage stays individual. The company learns nothing, builds nothing.

The asset

A role, not just a prompt.

A one-off prompt leaves with the person who wrote it. A role stays, shared across your teams and ready to reuse. (We nickname a ready-made role a Hat.)

  • Instructions

    Your policies and playbook, applied to every task.

  • Capabilities

    The step-by-step know-how to actually do the work (the skills it runs).

  • Actions

    Plugged into your real systems to act, not just chat (the tools it uses).

  • Role

The impact in numbers

Three measurable wins, from week one.

up to 0%

time saved

On repetitive, expertise-heavy tasks: quotes, reports, summaries, document search.

0%

of your know-how unlocked

A unique company brain for AI: your procedures, your data, your examples, available to every agent.

× 0

internal adoption

Teams build their own roles, so adoption spreads on its own.

Supported by

From scattered prompts to governed, shared roles.

Try skilder (no credit card), or scope your use case with our founders.

skilder mascot ready to help

Frequently asked questions.

Missing a question? Our team replies within 24h.

  • What is skilder, in plain English?

    skilder is a governance platform that turns your company's know-how, processes, vocabulary, tools, documentation, into reusable "skills" that any AI assistant can run. Instead of every employee re-explaining the same procedures to ChatGPT, Claude, or Microsoft Copilot, you teach it once in skilder, and every AI agent in your company immediately knows how you operate. skilder works alongside the AI tools your teams already use, it is the company memory and policy layer, not another AI assistant.

  • Do I need engineers to set up skilder?

    No. skilder skills are authored through a visual interface, closer to writing a recipe card than writing code. Your subject-matter experts (HR, finance, operations, sales, legal) describe a task once, and skilder packages it for any AI agent to execute. Engineers are only required when connecting skilder to custom internal tools or APIs.

  • How much does skilder cost?

    skilder offers a Free plan with included usage, individuals and small teams can create and run skills before talking to anyone. Paid plans scale with usage (skill executions, connected tools, governed users) and add capabilities like enterprise SSO, advanced audit, and dedicated support. skilder does not charge per seat, and authoring skills is always free, you pay only for what your team actually runs.

  • Is our business data safe with skilder?

    Yes. skilder enforces workspace-level isolation, full audit logging of every skill execution, and admin governance controls over what AI can read, write, or call. Your business data stays inside your tenant and is never used to train public models. skilder is the governance layer that sits between your tools and the AI, it does not resell, expose, or repurpose your data.

  • Which AI tools does skilder work with?

    skilder works with Anthropic Claude, ChatGPT (including agent mode), Microsoft Copilot, Cursor, and any AI client that speaks the open Model Context Protocol (MCP), governed by the Linux Foundation. Because skilder rides on an open standard rather than vendor APIs, you are never locked into a single AI provider, when your team adopts a new agent next year, your skills come with you.

  • What is the difference between a Claude Skill and a skilder Hat?

    A Claude Skill is a single text file, a markdown document with instructions, optional scripts, and reference content, that an Anthropic agent can read. It describes one capability. A skilder Hat is a complete deployed role: it bundles one or more Skills, connects them to your real tools (CRM, ERP, file stores, internal APIs), enforces permissions (RBAC), logs every execution for audit, and runs unchanged across any MCP-compatible agent, Claude, ChatGPT, Copilot, or your in-house client. A Skill is the capability; a Hat is how that capability runs in your company with governance, observability, and portability.