Skill UI

Performs a structured, multi-phase audit on local branch changes (diffs) to identify security vulnerabilities, bugs, and code quality issues. It systematically checks for common risks like Injection (SQL, XSS), Broken Authentication, IDOR, CSRF, and business logic flaws, providing detailed severity, evidence, and suggested fixes. Ideal for pre-merge code reviews and security audits.

A comprehensive guide and implementation for managing rate limits, exponential backoff, and request queuing when interacting with the Fireflies.ai GraphQL API. This skill ensures robust API calling by detecting 429 errors, handling per-plan quotas, and implementing reliable retry mechanisms.

This guide details integrating FoundationModels for running Large Language Models (LLMs) directly on the device (iOS 26). It covers advanced patterns including text generation, extracting structured data using @Generable, implementing custom tool calling for domain logic, and streaming responses for real-time UI updates. Key features emphasize strong privacy and offline capability, ensuring no data leaves the device.

Fuzzing Dictionary supplies domain-specific tokens to guide fuzzers when targeting parsers, protocols, configs, or file formats so they reach deeper logic; include magic bytes, headers, keywords, and combine generation from LLMs, headers, or binaries before passing via the fuzzer flag.

This skill provides a robust framework for implementing Role-Based Access Control (RBAC) when integrating with Gamma API in enterprise or multi-tenant environments. Since Gamma's API key is workspace-level, this solution enforces granular, per-user permissions (Guest, Viewer, Editor, Admin) at the application layer. Key components include authorization middleware, multi-tenant isolation logic, usage quota management, and detailed audit logging, ensuring system security and compliance in large-scale deployments.

This guide demonstrates how to build a resilient, event-driven architecture for Gamma API integrations when native webhooks are unavailable. It utilizes a poll-based pattern, creating synthetic application-level events (start, completed, failed) by wrapping polling logic within an EventEmitter or message queue. Ideal for building background workers that reliably track and react to the full lifecycle of content generation.

Generates production-ready stored procedures, functions, and triggers for PostgreSQL, MySQL, or SQL Server by analyzing requirements, using the stored-procedure-generator plugin, and returning optimized SQL code for complex logic, integrity, and transaction safety.

A comprehensive guide for implementing and managing Role-Based Access Control (RBAC) within the Guidewire InsuranceSuite (PolicyCenter, ClaimCenter, BillingCenter). It details role hierarchies (Admin, Underwriter, Claims Adjuster), permission checking logic using APIs, and best practices for ensuring regulatory compliance (NAIC, DOI). Includes code examples for user provisioning and audit logging.

Provides production-ready patterns for integrating with the Guidewire insurance platform. This SDK abstracts the complexity of hybrid APIs (REST/SOAP), offering a structured client, robust error handling (retry logic, conflict detection), and a fluent query builder for consistent data access across policies and claims.

Implements event-driven architecture by integrating Guidewire App Events and webhooks. This allows developers to build event consumers that process critical InsuranceSuite state changes—such as claim creation or policy issuance—in near-real-time, enabling robust, reactive business logic.

This comprehensive guide details how to set up robust CI/CD pipelines for projects integrating with Ideogram. It covers automated unit testing, optional integration tests using GitHub Secrets, and crucial prompt validation logic directly within GitHub Actions workflows, ensuring high code quality and reliable API interaction.

This document provides production-grade patterns for integrating with the Ideogram API in TypeScript and Python. It addresses common challenges in API usage, including implementing singleton client management, robust exponential backoff retry logic for rate limiting, and strict response validation using libraries like Zod. Use this guide when building reliable, scalable applications that depend on external AI image generation services.