clawhub-lovable
Accelerate clinical and healthcare app development in Lovable. Perfect for OpenClaw Clinical Hackathon participants building MVPs with PHI-safe patterns.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
522 skills found
Accelerate clinical and healthcare app development in Lovable. Perfect for OpenClaw Clinical Hackathon participants building MVPs with PHI-safe patterns.
Orchestrator for audio plugin WebView UI design, handling iterative mockup generation and production-ready scaffolding for JUCE-based instruments and effects.
Git worktree management for isolated parallel development, featuring automatic branch registration and seamless MoAI-ADK workflow integration.
Private skill distribution system for managing agentics across devices and teams. Install, sync, add, and update your agents, skills, and prompts via a central library catalog.
Interactive UI components for Claude Code and AI agents. Create confirmations, checklists, inputs, tables, and views to handle non-blocking interactions and monitoring.
AI-powered lead generation pipeline: intelligent lead scoring (0-100) and context-aware follow-up generation for sales, cold outreach, and CRM integration.
Manage long-running PapersFlow DeepScan research workflows with asynchronous monitoring, live progress tracking, and automated report generation.
Python toolkit for mass spectrometry data processing. Enables spectral file importing (mzML, MGF, MSP), metadata harmonization, peak filtering, and calculating spectral similarity scores (cosine, modified cosine) for metabolomics.
Perform comprehensive technical analysis for stocks and ETFs using indicators like RSI, MACD, and Bollinger Bands to generate actionable trading signals and comparative reports.
Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.
Expert Rust development guide based on real-world code reviews. Ideal for idiomatic code, performance tuning, error handling, and avoiding common pitfalls in CLI and production tools.
Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.