Skill UI

This skill is designed to streamline the process of market research. It helps users gather comprehensive data on target markets, analyze industry trends, and identify key consumer insights. Use it to inform product development, refine business strategies, and make data-driven decisions.

This guide provides a comprehensive walkthrough for developing and deploying Apify Actors. Actors are serverless, containerized applications designed for powerful tasks like web scraping, data processing, and complex automation. Learn the mandatory setup, template selection (Python, JS, TS), step-by-step development workflow, and crucial security best practices for building robust, production-ready data pipelines.

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

This skill guides the user through a structured process of requirement clarification before any development work begins. It ensures that all key details—including objectives, scope, constraints, and acceptance criteria—are explicitly defined. It prevents costly rework by forcing a pause and systematically identifying 'must-have' missing information.

This skill provides a comprehensive framework for the continuous self-improvement of makepad-skills. It outlines automatic skill triggering via hooks, context-aware skill routing, and a structured process for capturing new patterns, error solutions, and best practices. It ensures the entire skill library remains robust and up-to-date throughout the development lifecycle.

This skill generates a complete, opinionated, modern full-stack Rails application boilerplate. It sets up a robust tech stack including Rails 8, PostgreSQL, React, Inertia.js, Vite, Tailwind CSS, Sidekiq, and Redis. Designed for developers who need a starting point that adheres to best practices for database structure (UUIDs, JSONB), background job processing, comprehensive testing, and modern frontend development (TSX). Ideal for bootstrapping complex, production-grade web services.

This skill outlines a comprehensive methodology for designing, building, and deploying robust LLM-powered applications. It covers assessing task-model fit, designing modular pipelines (acquire -> prepare -> process -> parse -> render), and managing state using file systems to ensure scalability and reliability in AI systems.

A comprehensive guide for building robust, production-grade desktop applications using Electron. This skill covers advanced topics including multi-process architecture, mandatory security hardening (contextIsolation, sandbox), secure IPC communication, and best practices for packaging, code signing, and implementing auto-update features.

This guide details the systematic process of creating comprehensive incident response playbooks and runbooks. It covers structured procedures, decision trees, RACI matrices, and escalation protocols for various incident types (e.g., ransomware, data breach). Designed for maturing an Incident Response (IR) program, maintaining compliance (SOC 2, HIPAA), and integrating automated workflows into SOAR platforms, aligning with NIST SP 800-61r3 standards.

This guide details the end-to-end process of conducting a sophisticated spearphishing simulation campaign, mirroring real red team adversary techniques. It covers initial OSINT research and pretext development, building weaponized payloads that bypass security controls, setting up robust email infrastructure (SPF/DKIM/DMARC), executing the campaign in waves, and performing detailed post-campaign metrics analysis for comprehensive security reporting.

This skill is designed for implementing and managing user verification workflows within a Laravel PHP framework. It facilitates processes such as email confirmation, password reset validation, and ensuring data integrity for secure application access. It is essential for robust web backend development.

This guide details the process of developing precise YARA and YARA-X rules for advanced malware detection. It teaches analysts how to analyze unpacked malware artifacts—such as unique strings, byte sequences, and PE header traits—to extract stable detection anchors. This skill is crucial for threat hunting, malware family classification, and automating the creation of robust security signatures while aggressively minimizing false positives.