Skill UI

This skill provides implementation patterns for integrating Retell AI into voice agents and telephony platforms. It enables the automation of complex phone calls and voice interactions using the Retell SDK, making it essential for building sophisticated AI customer service systems and automated call centers.

This skill provides implementation patterns for building enterprise-grade AI voice agents and automating complex phone call workflows using the Retell AI platform. It covers SDK integration, resource management, and handling common telephony APIs errors, making it ideal for developers building conversational AI applications and advanced communication systems.

This skill provides deep dive implementation patterns for migrating and utilizing Retell AI. It focuses on building sophisticated voice agents and automating phone call interactions using the official SDK. Users will learn how to manage agents, handle API calls, and implement robust error handling for complex telephony applications, making it ideal for building automated call centers or interactive voice systems.

A structured workflow designed to prevent 'reinventing the wheel.' Before writing custom code, this skill guides the user through analyzing needs, conducting parallel searches across multiple channels (npm, PyPI, GitHub, MCP), evaluating candidate solutions based on maintainability and community support, and making a decision (Adopt, Extend, or Custom Build). It ensures that solutions leverage existing, proven libraries and patterns.

A specialized methodology for reviewing APIs, configuration schemas, and interfaces to identify 'footguns'—design choices where the path of least resistance leads to insecurity. This analysis focuses on making secure usage the default, covering topics like dangerous defaults, primitive vs. semantic type safety, and insecure algorithm selection. It is crucial for architects and reviewers to prevent developer misuse at the design level.

This workflow provides an AI-powered platform for immersive conversation practice. It uses advanced language models (like GPT-4o) and real-time speech APIs to simulate real-life scenarios (e.g., ordering food, navigating). Users receive immediate, detailed feedback on pronunciation (phoneme level), grammar corrections, and vocabulary notes, making it an ideal core module for building language fluency and simulating professional tutoring experiences.

Guides Spring Boot 3.x engineers through configuration scaffolds, REST controllers, Spring Security 6 authentication flows, Spring Data JPA repositories, and reactive WebFlux endpoints, making it easier to build microservices and Java REST APIs.

Build comprehensive 3-5 year financial models essential for startup planning and fundraising. This skill meticulously projects revenue using cohort-based methods, details cost structures (COGS, S&M, R&D, G&A), plans headcount, and performs detailed cash flow analysis. It calculates critical metrics like LTV, CAC, and burn rate, providing three scenarios (conservative, base, optimistic) for robust strategic decision-making.

Scans Substrate/Polkadot FRAME pallets for seven critical vulnerabilities such as arithmetic overflow, panic DoS, incorrect weights, unsigned validation issues, bad randomness, and origin flaws, making it ideal for runtime audits and pre-launch security assessments.

This skill provides comprehensive capabilities for web searching, content extraction, and web crawling using the Tavily API. It is ideal for tasks requiring up-to-date information retrieval, deep content scraping from specific URLs, or comprehensive website crawling for research purposes, making it a powerful research augmentation tool.

This skill provides a systematic, multi-step approach to identify and resolve all failing unit tests within a codebase. It guides the user through smart error grouping (e.g., grouping by ImportError or AttributeError), prioritizing fixes from infrastructure to business logic, and ensuring thorough verification to prevent regressions. Ideal for use after major refactoring, debugging CI/CD failures, or when explicitly tasked with making the test suite pass.

Execute end-to-end automated testing for mobile applications across both iOS and Android platforms. This skill simulates real user interactions, covering UI flows, gestures (swipe, pinch), form validation, and platform-specific behaviors (e.g., Safe Area handling, Android back button logic). It supports industry-standard frameworks like Appium, Detox, and Maestro, making it essential for ensuring cross-platform quality assurance and robust CI/CD pipelines.