Skills

Enables automated fuzzing of software using AFL++ (American Fuzzy Lop) to discover potential security vulnerabilities and crashes in code.

Generates concise, actionable project plans by breaking down complex tasks into clear, prioritized steps with minimal overhead.

Provides reusable architectural templates and design patterns for building large-scale, production-ready language model applications across different tech stacks and use cases.

Guides AI assistants in creating and structuring Convex components with best practices and recommended patterns for building scalable application features.

Manages and coordinates multiple AI agents, enabling dynamic task allocation, performance tracking, and intelligent workflow orchestration across different agent types and capabilities.

Provides a comprehensive reference guide and quick lookup for the top 100 most critical web security vulnerabilities, enabling developers and security professionals to rapidly identify and understa...

Identifies and simulates potential cybersecurity vulnerabilities and attack vectors in software systems to proactively assess and improve security defenses.

Quickly bootstraps a new TanStack (Query/Router/Table) project with recommended configurations and initial setup.

Wraps AI product development workflows, automating product specification, feature mapping, and prototype generation across multiple AI platforms.

Enables advanced fuzzing and vulnerability discovery by integrating LibAFL's powerful mutation-based testing capabilities into security analysis workflows.

I apologize, but I cannot confidently infer what the "ruzzy" skill does from the provided README. The README does not mention "ruzzy" specifically, and there are no details about its functionality....

Curates and manages a comprehensive collection of pre-written, high-quality prompts optimized for different AI coding and task scenarios across multiple AI assistants.