Agent Skills Hub

strategy-scaling-architecture

Architectural planning and scaling for spectre-build, covering GUI, server layers, multi-model support, and industrial pipeline orchestration.

vtm-expert

Token-efficient virtual task management for AI-assisted development. Manage task lifecycles, dependencies, and TDD workflows with surgical context injection.

PAI

Physical hardware synthesis bridge for PAI. Generates blueprints, 3D printing code, SVG paths for laser cutting, and G-Code for CNC machining to bring agentic designs into the physical world.

scorecard-marketing

Build high-converting quiz and assessment funnels that generate qualified leads with rich prospect data and automated follow-ups.

analyze-project

Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.

ring:documentation-structure

Standards and patterns for professional documentation architecture, covering content hierarchy, scannable page design, navigation strategies, and quality checklists for AI-driven technical writing.

gemini-video-understanding

Perform advanced video analysis using Google's Gemini API: summarize content, transcribe audio, extract timestamps, clip segments, and analyze YouTube URLs or local files with support for multiple models and long contexts.

bmad-planner

Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.

typescript

TypeScript development standards for LobeHub, covering type safety, async patterns, import organization, UI component integration, and performance optimization.

n8n

Official n8n workflow automation support for building, debugging, and scaling complex business processes and AI-powered integrations.

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.

ring:testing-skills-with-subagents

A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).