Skill UI

This skill provides methods for upgrading Persona API versions and managing breaking changes within identity verification workflows. Using Python, it demonstrates how to interact with the Persona API, ensuring data compatibility and seamless migration when API standards change. It is essential for developers building SaaS applications that require robust KYC and identity checking capabilities.

This guide demonstrates how to set up a secure and robust webhook endpoint to process identity verification events from Persona. It covers essential security practices, including HMAC signature verification using TypeScript and Express, handling critical KYC lifecycle events (like inquiry approval/declination), and implementing idempotent processing to prevent data duplication. Ideal for integrating third-party identity services into a web application.

This skill automates the systematic verification of mathematical proofs through cross-model adversarial review. It reads a LaTeX proof, identifies logical gaps and structural weaknesses, fixes each gap with full derivations, and re-reviews until convergence. Finally, it generates a detailed audit report, ensuring mathematical rigor and accountability.

This comprehensive guide outlines best practices for securing SalesLoft API access and integrations. It details secure token lifecycle management (OAuth refresh), implementing robust webhook signature verification using HMAC-SHA256 to prevent replay attacks, and enforcing scope minimization for least-privilege access. Use this when designing production-grade, secure enterprise integrations.

This comprehensive skill provides a robust framework for receiving and processing SalesLoft webhooks in real-time. It includes critical logic for HMAC-SHA256 signature verification and replay protection. The system efficiently routes various sales events (e.g., email opened, call completed, person updated) to sync data with external CRMs or operational systems, while ensuring data integrity through idempotency checks using Redis.

A comprehensive guide to registering, handling, and managing Shopify webhooks and events for e-commerce applications. Learn how to use GraphQL to subscribe to critical topics (orders, products, etc.), implement robust HMAC verification, and, crucially, configure mandatory GDPR compliance handlers required for successful Shopify App Store submission. Covers event handler patterns and API management.

This skill establishes an autonomous, iterative build loop for continuous website development. It functions as an agent that reads tasks from a 'baton' file, utilizes the Stitch MCP tools to generate structured web pages, integrates the generated HTML assets into the main site structure, and finally updates the baton file with the next required task. It supports end-to-end, programmatic site building and includes optional visual verification using Chrome DevTools.

This guide covers essential security best practices for utilizing Together AI's OpenAI-compatible API for inference, fine-tuning, and model deployment. It provides code examples and architectural advice on secure API key management, robust webhook signature verification, input validation using schemas (like Zod), and implementing data redaction pipelines to protect sensitive information in logs and datasets. Essential for building secure AI applications.

This guide provides comprehensive implementation details for Webflow webhooks. It covers the entire lifecycle, including registering various trigger types (form submissions, new orders, site publishing) via the API. Critically, it teaches how to set up a secure backend endpoint with HMAC signature verification, allowing users to build robust, event-driven workflows that react automatically to user actions within Webflow.

This utility serves as a Command Line Interface (CLI) alias for specialized AI code models, specifically mapping to the Claude Code `/pua:yes` command structure. It facilitates structured code generation or interaction by adopting a specific 'yes skill' protocol. It ensures that while switching to an encouragement-first narration, the system maintains strict verification red lines and handles configuration file updates while preserving unknown fields. Ideal for developers needing consistent, protocol-driven AI code assistance.

A comprehensive CI/CD pipeline for Quarkus applications, designed to verify code quality and deployment readiness. It covers all phases: build, static code analysis (SonarQube, Checkstyle), rigorous functional testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native image compatibility testing, performance load testing (K6), and container image validation (Trivy, Grype).

Simulates a comprehensive, multi-stage academic journal peer review process. This agent dynamically configures five expert reviewers (EIC, 3 peers, and a Devil's Advocate) to evaluate a paper across methodology, domain expertise, cross-disciplinary impact, and core arguments. It provides structured reports, editorial decisions, and revision roadmaps, supporting full reviews, post-revision verification, and calibration modes.