skilder
by skilder.ai
Overview
Skilder is 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. 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, Claude 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. Skills use the open Agent Skills format: import existing folders as-is from GitHub or ZIP. Everything stays portable. Setup takes five minutes: connect, sign in or sign up in the consent flow, and a demo workspace is provisioned. Then bring your own skills.





