Silent leaks
Customer data, source code, contracts: pasted into uncontrolled tools.
skilder makes your company's business expertise available to every employee, on the AI assistant of your choice. Your know-how stays in-house.
Works with your AI stack
01 · The hidden cost
Your teams are already using ChatGPT, Claude, Gemini on sensitive data. With no policy, no audit trail, no return for the company. And every week, hours of know-how leave with personal prompts no one will ever see again.
Customer data, source code, contracts: pasted into uncontrolled tools.
No traceability. No policy. No way to prove compliance.
Usage stays individual. The company learns nothing, builds nothing.
02 · From shadow to governance
Reusable, audited, maintained skills. The right tool at the right moment.
EU hosting, tenant isolation, no training on your data.
GDPR. Full logging, exports, right to erasure.
03 · The building block
A hat is a ready-to-use role: legal assistant, support, financial analyst. Your AI agent swaps hats based on context. Each one combines instructions, skills and connectors, endlessly configurable.
And 91,023 skills are ready to compose yours.
A few hats
Marketing
content · campaigns
Analyst
finance · data
Support
tier 1 · KB
Product
research · roadmap
04 · Three steps, no code
Your subject-matter experts build hats in the Studio, with or without our authors. No code, anchored in your existing practices.
ERP, CRM, knowledge base, files, internal APIs, MCP. Your hats access the right data, at the right moment.
SSO, roles, quotas, audit. Your people wear their hats from Copilot, ChatGPT or Claude, the tool they already use.
The three steps in action.
One assistant, many hats. Without leaving your tool.
05 · Three hats, three roles
Select a hat to see what's inside.
Role description
Writes site visit reports, checks measurements, prepares billing for ongoing projects.
Instructions
"Always mention weather and site number. Flag any deviation from the original quote."
Skills
Connectors
Role description
Builds tailored quotes using your prices, your terms, and each client's history.
Instructions
"Apply the current price grid. Adjust payment terms to the client segment."
Skills
Connectors
Role description
Tracks project progress, updates milestones, flags risks, and prepares steering committee meetings.
Instructions
"Always flag at-risk milestones. Reframe delays as a concrete action plan."
Skills
Connectors
06 · The impact in numbers
On repetitive, expertise-heavy tasks: quotes, reports, summaries, document search.
A unique company brain for AI: your procedures, your data, your examples, available to every agent.
User engagement multiplied through bottom-up adoption: teams compose their own hats.
Missing a question? Our team replies within 24h.
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.
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.
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.
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.
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.
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.
Try skilder (no credit card), or book a demo with our founders.