Skill UI

Automates threat modeling guidance within Security Advanced: step-by-step best practices, compliance-ready code, and validation for enterprise security workflows.

A specialized skill for conducting comprehensive security architecture reviews, risk assessments, and threat identification. It masters advanced methodologies like STRIDE, PASTA, and attack tree construction. Use this to build secure-by-design systems, identify potential attack vectors, and strengthen system resilience before deployment.

This comprehensive skill provides advanced architectural patterns for implementing robust API throttling and rate limiting policies. It covers critical concepts like concurrency limiting, priority queuing, circuit breakers, and adaptive throttling that adjust limits based on real-time backend health metrics (p95/p99 latency). Use this when designing resilient, scalable backend services that must protect themselves from overload and maintain stability under high load.

A comprehensive skill for structured software development life cycle (SDLC). It guides users through adaptive phases—Specify, Design, Tasks, and Execute—ensuring that every feature is built with traceable requirements, atomic tasks, and rigorous verification. Features include an independent Verifier, persistent decision logging, and a self-improving lessons layer to enhance future development quality. Ideal for complex, multi-component feature implementation.

Analyzes token implementations and integrations with ERC20/ERC721 standards, checks 20+ weird token patterns, assesses owner privileges, contract composition, and on-chain scarcity to highlight risks before deployment.

Scans FunC-based TON smart contracts for boolean, Jetton, and gas handling vulnerabilities, reporting critical issues with file references and offering remediation guidance for auditors and secure dApp launches.

Provides a structured reference of the 100 most critical web application vulnerabilities organized by category, helping security teams identify attack vectors, assess impacts, and follow remediation guidance during audits or penetration tests.

Tracks and runs regression suites, automating execution of critical tests and analyzing outcomes so Claude highlights failures, flaky checks, and stability impacts before deployments.

Defines and monitors SLAs, SLIs, and SLOs so teams can set performance targets, track metrics like error budgets and availability, and react before issues impact customers.

Enables Trigger.dev-based background jobs, AI workflows, and scheduled or batch async execution with a TypeScript-first SDK, durable retries, and built-in integrations while matching production behavior through the local CLI.

Provides Twilio-based communication patterns covering SMS, voice, WhatsApp, and Verify flows; includes error handling, compliance reminders, rate limits, segmentation warnings, and OTP 2FA guidance for notifications, confirmations, and security workflows.

This guide provides comprehensive solutions for diagnosing and fixing common technical errors and exceptions encountered when using the TwinMind platform. Whether you are facing API authentication failures, microphone permission issues, transcription timeouts, rate limit exceedances, or audio format incompatibility, this reference offers step-by-step solutions and code examples to ensure smooth operation and successful integration.