Enables coding agents to search, recommend, and validate a stack of reusable skills from a local catalog, producing deterministic plans without modifying the project.
Catalogues skills and agents into a queryable graph, exposing MCP tools for reference counting, usage scanning, and overlay notes with a built-in visual viewer.
Provides read-only hybrid RAG search and discovery over a local-first AI knowledge corpus, enabling semantic and keyword search, browse, digest, and status tools.
Indexes installed SKILL.md files and provides deterministic search and recommendation tools to help AI agents select relevant skills without executing them.
Provides offline search and retrieval of curated scientific computing Agent Skills for modeling, computational chemistry, DFT, molecular dynamics, and visualization. It exposes tools for skill cards, compatibility checks, content/bundle retrieval, version diffs, health checks, and issue reporting via HTTP or stdio MCP.
Enables discovery and installation of agent skills from curated GitHub repositories, allowing users to search large collections and inspect skill contents directly. It supports downloading skills locally and provides grounded scaffolds for creating new skills based on existing patterns.