Skill UI

This expert skill reviews the architecture and design of the Bitcoin Lightning Network protocol. It analyzes complex Layer 2 scaling tradeoffs, compares various channel factory approaches, and evaluates critical technical aspects—including trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support. Use this when assessing the cryptographic and systemic soundness of L2 blockchain protocols.

A comprehensive cheat sheet for the Either type in fp-ts, designed for robust error handling and flow control in TypeScript. It details how to use Either to manage synchronous operations that might fail, facilitating type-safe validation, fallible computations, and complex data chaining (e.g., replacing traditional try/catch blocks). Ideal for developers needing a quick, typed reference for functional programming patterns.

This guide provides a quick reference for 'pipe' and 'flow' utilities in fp-ts. The `pipe` function is used to chain multiple operations to transform a specific value, while `flow` allows you to create reusable, composed functions (pipelines). It is essential for implementing clean, declarative data manipulation and functional composition in TypeScript.

This guide offers a jargon-free, practical approach to functional programming using fp-ts in TypeScript. It focuses on the 80/20 principles, teaching core patterns like Pipe, Option, and Either. Learn how to handle missing values safely, manage errors explicitly, and chain operations cleanly, improving code readability without over-engineering.

TaskEither is a functional programming utility from fp-ts designed for handling asynchronous operations that might fail. It provides a robust, type-safe mechanism for managing complex async workflows, such as chained API calls or promise wrappers. Instead of relying on traditional try/catch blocks where errors can be lost, TaskEither forces the developer to explicitly handle both success and failure paths, making error management predictable and composable.

This utility is designed to build reusable, composable command-line scripts for interacting with the Hugging Face API and the `hf` command line tool. It enables complex data workflows by supporting chaining, piping, and intermediate processing across models, datasets, and repositories, streamlining the automation of Hub tasks.

A comprehensive, multi-phase security audit tool designed to evaluate AI agent skills before deployment. It detects critical vulnerabilities, including prompt injection, malicious code, excessive permissions, secret exposure, and supply chain risks, ensuring the integrity and safety of your agent environment.

This tool systematically audits a project's dependencies to identify potential supply chain security risks. It evaluates critical factors such as maintenance status, contributor count, popularity, and the presence of high-risk features. It is ideal for pre-security audits, assessing the overall attack surface, and mitigating risks before deployment.

This command executes the entire AgentHub lifecycle in a single, chained invocation. It automates complex development tasks by sequentially handling initialization, capturing performance baselines, spawning multiple specialized agents, evaluating the results (via metrics or LLM judging), and finally presenting a winner for merging. Use this when running an end-to-end competition or complex refactoring task.

A powerful toolkit utilizing Objection and Frida for authorized mobile penetration testing. It enables deep runtime analysis of iOS applications, allowing users to inspect sensitive data in the keychain, filesystem, and memory. Key capabilities include bypassing client-side protections such as SSL pinning and jailbreak detection without requiring source code access.

A comprehensive cybersecurity tool designed to analyze malicious VBA and XLM macros embedded within Microsoft Office documents (Word, Excel, PowerPoint). It facilitates deep forensic investigation by extracting, deobfuscating, and tracing the full attack chain, including identifying auto-execution triggers, payload download URLs, and file writing techniques. Useful for malware analysts investigating phishing campaigns and maldocs.

Analyze email headers to uncover sender origins, routing chains, and authentication results, enabling defenders to validate legitimacy and spot phishing indicators using manual inspection and automation scripts.