Agent Skills Hub

supermemory

Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.

transit-least-squares

Transit Least Squares (TLS) algorithm for detecting exoplanet transits in light curve data, offering higher sensitivity than Lomb-Scargle for transit-shaped signals.

cowork-router

Dynamic meta-router for managing and orchestrating multi-domain AI coding agent skills across plugins and projects.

unstuck

Overcome coding blocks and development stagnation using lateral thinking personas and structured reframing techniques.

scientific-brainstorming

Creative research ideation partner for exploring interdisciplinary connections, challenging assumptions, and generating testable scientific hypotheses.

skill-authoring-workflow

A standardized workflow for converting raw PM notes, workshops, or rough drafts into polished, validated, and repository-compliant AI skills.

karpathy-guidelines

Behavioral guidelines for LLMs to reduce coding mistakes, follow best practices, and improve output quality by enforcing simplicity, surgical changes, and goal-driven verification.

crane

Expert assistant for writing high-quality, modern, and memory-safe C++ code for V8 FFI wrappers and native integrations.

context-detection

Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.

geospatial-analysis

Analyze geospatial data using GeoPandas with proper coordinate projections for accurate distance, filtering, and spatial relationship calculations.

mcp-research

Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.

physics-student-focus

Teacher-focused student profiling tool: OCR answer sheets, summarize performance, and update student profiles with targeted physics learning goals.