Agent Skills Hub

requirements-engineering

Master the EARS format to transform ambiguous feature ideas into precise, testable requirements, acceptance criteria, and edge case documentation.

using-skills

Mandatory workflow skill for managing conversation state, enforcing skill discovery, and ensuring task adherence through TodoWrite checklists.

build-design-system

Build a cohesive, constraint-based design system using the Design Graph methodology. Automate the creation of design tokens, typography scales, components, variants, and themes.

taskyou

An autonomous AI-powered task management system with Kanban boards, git worktree isolation, and pluggable executors like Claude Code, Gemini, and OpenAI Codex.

kanban-based-development

Autonomous, parallel-safe development workflow using kanban-md. Coordinates multi-agent and human efforts with atomic claims, worktrees, and explicit handoffs.

enterprise-agent-builder

Architects enterprise AI agents from structured specs, generating production-ready code, data flow diagrams, and platform-specific logic for ServiceNow, Salesforce, and Snowflake.

dart-python

Python bindings (dartpy) for DART physics simulation: build wheels, generate type stubs, and manage robotics simulation workflows using nanobind and C++ integration.

home-assistant-master

Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.

springboot-patterns

Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.

server-components

Guidance on React Server Components (RSC) in Next.js, covering server/client component boundaries, data fetching, and composition patterns.

Building Frontend Dashboards

Build responsive React dashboards using TypeScript, shadcn/ui, TanStack Query, and Supabase. Ideal for creating KPI cards, data tables, charts with Recharts, and admin interfaces for event-studio.

basic-usage

Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.