Agent Skills Hub

predict-lucky-number

Generates a random lucky number between 0 and 9999 for games, decision-making, or entertainment.

parallel-worktrees

Create and manage git worktrees for parallel coding sessions. Enable zero-dead-time development by running tests, builds, and multiple branch sessions simultaneously without interference.

moai-foundation-core

Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.

neuropixels-analysis

Neuropixels neural recording analysis toolkit. Provides end-to-end pipelines for SpikeGLX/OpenEphys data, Kilosort4 spike sorting, motion correction, quality metrics, and AI-assisted curation.

evaluation

Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.

obsidian-markdown-structure

Validate and enforce consistent markdown document structure, including YAML frontmatter positioning, correct heading hierarchy, and logical content organization for Obsidian vaults.

prompt-engineering-patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.

nexau-agent

Comprehensive guide and implementation framework for building, configuring, and deploying NexAU agents from scratch, including tools, prompts, and skills.

k0ntext

RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.

sales-ai-assistant

An AI-powered sales assistant that transforms business scenarios into optimized prompts, automatically generating high-quality emails, proposals, and analysis reports without requiring prompt engineering skills.

cowork-router

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

supermemory

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