Skilder.aiVerifiedFeatured

A versioned, governed library for your team's agent capabilities: skills composed with the MCP tools they need, published deliberately, distributed to every connected agent from one endpoint.

Where it picks up

It picks up where prototypes end:

• Skill copies drifting across repos
• Live edits changing agent behavior mid-task
• Tool lists overflowing the context window
• No answer to "what did the agent actually do?"

With this connector, you can

• Learn skills on demand — instructions, files, and tools unlock together, exactly when a task needs them
• Execute each skill's tools through server-partitioned read and write channels, under each user's own identity
• Run skill scripts (Python, TypeScript, shell) sandboxed on your runtimes
• Report friction on skills as it works, so you catch decay before users do
• Build new capabilities in conversation (workspace admins) — discover available tools, then create, compose, and update skills and roles

Lifecycle is engineered in

Drafts, publishing, version history, rollback. Agents only see the published state, so you can iterate on a skill while it runs in production.

Usage is measured per skill: what runs, what fails, what sits unused. Admins curate which tools are exposed, and every session leaves an auditable timeline.

Portability

Skills use the open Agent Skills format: import existing folders as-is from GitHub or ZIP. Everything stays portable.

Setup

Setup takes five minutes:

1. Connect
2. Sign in or sign up in the consent flow
3. A workspace is provisioned Then bring your own skills and tools !