aie-skills-installer

What problem does it solve?

The installer removes guesswork and context bloat by analyzing a project's repository to recommend and selectively install only the AIE-Skills that match concrete project signals, preventing unnecessary skills from being added.

Core Features & Use Cases

• Repository Analysis: Scan README, dependency files, Dockerfiles, notebooks, and source imports to build a technology profile.
• Signal-to-Skill Matching: Map detected signals to a curated skill detection table and produce validated recommendations with evidence.
• Safe Selective Installation: Present recommendations and optional MCP Powers for explicit user confirmation, then perform selective installs via install.sh and return JSON verification.
• Use Case: Bootstrapping an ML project where only specific skills (e.g., hf-hub-datasets, docker-gpu-setup) are needed based on detected dependencies and files.

Quick Start

Ask the installer to analyze the target repository and present recommended AIE-Skills for your confirmation before installing.