What it does

SKRT acts as a high-performance navigation layer for your AI agent's skill library. It allows your agent to intelligently search, discover, and implement specialized skills from a repository of hundreds of tools in under 50ms. Instead of overwhelming your context window with every possible instruction, SKRT enables "just-in-time" skill loading.

Problem it solves

As you accumulate AI skills, your agent often forgets what it can do or fails to trigger the right tool for a niche task. Manual browsing takes too long, and loading all skills at once causes prompt injection risks and context bloat. SKRT solves this by providing a lightning-fast vector search interface that connects user intent to the correct SKILL.md documentation.

Why it's better than manual prompting

Unlike a standard LLM, which relies on its static training data to guess how to perform a task, SKRT gives your agent dynamic access to your private, version-controlled library of high-precision prompts and workflows. It handles CJK/English mixed-language queries and provides ranked relevance scores to ensure the most capable tool is selected every time.

Supported Tools

• Local Skill Libraries (managed via SKILL.md)
• CLI integration via `skrt` binary
• Any agentic framework (Claude Code, Cursor, AutoGPT)