Skill UI

This comprehensive checklist guides developers through the necessary steps to deploy a robust and reliable Grammarly API integration in a production environment. It covers critical aspects such as secure credential storage, rate limit handling, implementing text chunking, designing error resilience patterns (circuit breakers, retries), and establishing comprehensive monitoring and alerting systems to ensure high content quality and system uptime.

This guide provides essential security fundamentals for integrating with the Grammarly API. It covers secure credential management (client secrets, access tokens), OAuth token handling, webhook signature verification, and data redaction techniques to protect sensitive user content and maintain compliance.

Facilitates the secure deployment of Adobe-powered applications across multiple modern cloud environments, including Vercel (serverless), Google Cloud Run (containers), and Adobe App Builder. This integration manages complex OAuth credential injection and sets up health monitoring endpoints, making it ideal for moving Adobe API integrations into production systems.

This guide details how to configure and authenticate access to the AppFolio Stack API. It utilizes OAuth 2.0 and Basic Authentication credentials (Client ID/Secret) provided through the partner program. It is essential for developers building property management integrations, allowing secure, programmatic access to core data like properties, units, tenants, and leases.

This guide details the process of setting up authentication and integration credentials for the Abridge clinical AI platform. It covers prerequisites for connecting to major EHR systems (Epic, Athena) using FHIR R4 APIs and implements OAuth 2.0 (SMART on FHIR) flows, ensuring secure, HIPAA-compliant data handling for ambient documentation.

A comprehensive guide to setting up CI/CD pipelines for Adobe API integrations. It covers secure OAuth credential management, unit testing, secret pattern scanning, and rigorous integration testing within GitHub Actions. Essential for maintaining high code quality in Adobe-integrated SaaS products.

Implement robust data handling practices when integrating with Adobe APIs. This comprehensive guide covers critical compliance areas, including Personally Identifiable Information (PII) redaction from extracted PDFs, enforcing Firefly content policies, secure credential redaction in logs, and managing data subject access/deletion requests for GDPR/CCPA compliance using the Adobe Privacy Service API. Essential for building privacy-compliant enterprise applications.

This comprehensive guide walks through setting up Adobe Developer Console OAuth Server-to-Server credentials. It is critical for establishing any new programmatic integration with Adobe services, including Firefly AI, PDF processing, and Creative Cloud access. The process covers project setup, installing various SDKs (Node.js/Python), and securely generating access tokens.

This guide outlines best practices for configuring and securing Adobe API access across Development, Staging, and Production environments. It details the use of separate Developer Console projects, implementing least-privilege OAuth scopes, and integrating robust secret management solutions (GCP Secret Manager, AWS Secrets Manager, HashiCorp Vault) into CI/CD pipelines for secure, scalable deployments.

Implements automated, multi-layered policy enforcement and guardrails for Adobe integrations. This skill provides crucial security checks, including detecting sensitive credentials (e.g., p8_ secrets), pre-screening content for services like Firefly (blocking trademarks or explicit material), and enforcing usage quotas for PDF Services. It is essential for maintaining secure and compliant CI/CD pipelines.

A comprehensive, step-by-step checklist for safely deploying Adobe API integrations (including Firefly, PDF Services, and I/O Events) to a production environment. It covers prerequisite checks, credential security, health monitoring, gradual canary rollouts, error handling, and immediate rollback procedures to ensure maximum system stability and reliability.

This guide outlines critical security best practices for design-to-code pipelines using Anima and Figma. It covers securing API credentials by restricting token scopes (e.g., read-only access for Figma), enforcing server-side execution for SDKs, and implementing robust secret management using cloud services like GCP Secret Manager. This minimizes the risk of credential leakage in CI/CD environments.