Agent Skills Hub

Global Documentation

Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.

frontend-accessibility-best-practices

Accessibility best practices and patterns for React applications to ensure WCAG compliance, semantic structure, and inclusive user experiences.

documentation

Write, structure, and maintain technical documentation like READMEs, API docs, runbooks, and architecture specs to keep your team aligned and informed.

langgraph-workflows

Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.

dlt-skill

Create, manage, and debug dlt (data load tool) pipelines for ingesting data from APIs, databases, and custom sources into destinations like DuckDB, BigQuery, and Snowflake.

wt

Manage isolated LlamaFarm development environments using git worktrees for parallel agent sessions and service testing.

connections

Lightweight MCP (Model Context Protocol) connection handler supporting stdio, SSE, and streamable HTTP transports for seamless server integration.

remote-browser

Controls a local or remote headless browser for automated web navigation, data extraction, form interaction, and testing from sandboxed environments.

design-references

Provides predefined design system references for UI reviews, including Material Design 3, Apple HIG, Tailwind UI, Ant Design, and Shadcn/ui.

supermemory

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

context-management

Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.

video-production-guidelines

Video script writing and production methodology for MYCURE using Apple Keynote principles and two-column AV script formatting. Perfect for demos, tutorials, and explainer content.