Silent leaks
Customer data, source code, contracts: pasted into uncontrolled tools.
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.
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.
Capabilities
Actions
Great, onboard Bright Studio.
Help me chase unpaid invoices.
Should skilder send the reminders automatically, or draft them for your OK first?
Draft them for me first.
Capabilities
Actions
Go ahead, draft this month’s.
I want to qualify inbound leads.
For a good fit, should skilder book a call, or just tag it and notify you?
Just tag and notify me.
Capabilities
Actions
Run it on this week’s leads.
Turn my meeting notes into a report.
Once it’s ready, should skilder share it with the team, or just save the summary?
Share it with the team.
Capabilities
Actions
Do the Bright Studio call.
Example · skilder composing a role
Works with your AI stack
The hidden cost
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.
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.
The asset
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
A role for every team
Ready-made roles you adapt to your business in minutes, then put to work.
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.
Teams build their own roles, so adoption spreads on its own.
Try skilder (no credit card), or scope your use case with our founders.
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.