Agent Skills Hub

semantic-compression

Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.

troubleshooting-docs

Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.

nestjs-best-practices

NestJS 11+ expert assistant for enterprise Node.js development, including dependency injection, DTO validation, authentication, ORMs, testing, microservices, and architectural best practices.

design-excellence

A design system and anti-pattern guide to make AI-generated UI look human-crafted. Ensures professional aesthetics by managing color, typography, spacing, and animations for the Toh Framework.

project-overview

Complete project architecture and structure guide for LobeHub. Use for codebase exploration, project organization, file location, and architectural context.

looped-builder

Scaffold complex, multi-step coding tasks into actionable implementation plans and execute them autonomously using a Claude-driven bash loop.

wm-git-worktree-manager

Efficiently manage git worktrees with automated file synchronization, background task execution, and CLI-based workspace orchestration.

test-driven-development

Enforces disciplined Test-Driven Development (TDD) by requiring a failing test before implementation, ensuring code reliability and preventing premature over-engineering.

crane

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

prp-manager

Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.

liquid-il

A high-performance Liquid template engine that compiles templates into optimized Ruby and machine code via an intermediate language (IL).

pyhealth

Comprehensive Python healthcare AI toolkit for clinical data processing, medical coding translation, and developing deep learning models like RETAIN and Transformers for EHR, physiological signals, and clinical prediction tasks.