Private AI Skills: Sync agent skills across machines, projects and teams

Private AI Skills addresses a messy reality of the current agentic workflow: the fragmentation of system prompts and 'skill' files. As developers move between a MacBook, a Linux workstation, and various team projects, keeping a canonical set of instructions for agents like Claude Code or Cursor usually involves a clumsy mix of git submodules, shared dotfiles, or blatant copy-pasting. This service abstracts that friction into a browser-based editor and a simple `npx` sync command, effectively treating agent instructions as a managed dependency rather than a static file. From a technical standpoint, the most commendable decision is the commitment to end-to-end encryption. By encrypting payloads in the browser before transit, the service avoids the 'trust me' liability of storing sensitive architectural prompts or API keys on a third-party server. The use of AES-GCM provides both confidentiality and authenticity, ensuring that the skills pulled via the CLI haven't been tampered with. The product's strength lies in its narrow focus; it doesn't try to be the agent itself, but rather the plumbing that feeds the agent. However, the product's utility is strictly tied to the user's adoption of 'skill-based' agent architectures. For those who rely on a single, massive system prompt or built-in IDE settings, this is overkill. Furthermore, while the CLI sync is efficient, the reliance on a browser-based editor for primary updates may feel like a step backward for developers who prefer editing markdown in their IDE. A local-first editor with an automated background sync would be the logical evolution here. Ultimately, this is a precision tool for the 'power user' of AI coding agents. If you manage a library of specialized prompts across a team or a multi-machine setup, Private AI Skills removes the manual overhead of prompt drift. It is a pragmatic solution to a niche but growing problem in the AI-assisted development lifecycle.