Skill UI

This guide details how to implement robust Role-Based Access Control (RBAC) and manage teams within Documenso Enterprise. It covers defining granular roles (Owner, Admin, Member), integrating Single Sign-On (SSO) using OIDC, setting up audit logging, and handling multi-tenant architectures using dedicated API keys. Essential for building large-scale, secure, enterprise-grade document management systems.

This guide provides comprehensive instructions for setting up and authenticating the Documenso SDK and API. Users will learn how to install the SDKs (TypeScript and Python), generate secure API keys, and initialize the client connection for both v1 (legacy) and v2 (recommended) API versions. It covers best practices for secure credential management within development projects.

Handles encryption and decryption tasks via the encryption-tool plugin to protect sensitive information, letting Claude choose AES, RSA, or other algorithms, prompt for keys when needed, and optionally save encrypted or decrypted files.

This guide provides a comprehensive walkthrough for setting up the Evernote SDK and implementing OAuth 1.0a authentication. It details the entire process, from acquiring API keys via the developer portal, installing the SDK (for Node.js or Python), configuring environment variables, to initializing the client. Use this skill when starting a new Evernote integration or needing to verify secure API connectivity to the Evernote Cloud.

This guide details setting up automated Continuous Integration/Continuous Deployment (CI/CD) pipelines for Firecrawl scraping services. It covers configuring GitHub Actions, managing API keys, and implementing both mock unit tests and live integration tests. Use this when ensuring scraping behavior is validated automatically across pull requests and merges.

This guide outlines how to implement robust Role-Based Access Control (RBAC) for Firecrawl scraping resources. It allows enterprises to manage multiple API keys, enforce per-team credit consumption limits, and restrict scraping to specific allowed domains (allowlisting). Use this when scaling scraping operations across various departments or services that require granular resource governance and budget tracking.

This guide details how to configure Firecrawl for reliable multi-environment operations (Development, Staging, Production). It addresses critical operational concerns, such as managing credit budgets and ensuring separation between environments. Users learn how to implement self-hosted Docker setups for development, manage environment-specific API keys, and integrate safe scraping wrappers into CI/CD pipelines.

This comprehensive guide details how to configure Fireflies.ai across multiple isolated environments (Development, Staging, and Production). It emphasizes best practices for managing environment-specific secrets, API keys, and webhook URLs. By implementing robust environment separation, you can prevent data leakage and ensure that changes in one environment do not impact the stability or data integrity of others, which is crucial for CI/CD pipelines.

This guide outlines essential security protocols for integrating Fireflies.ai. It covers best practices for managing sensitive API keys (e.g., environment variables, pre-commit hooks), implementing robust HMAC-SHA256 webhook signature verification in multiple languages (TypeScript, Python), and correctly configuring transcript privacy levels to ensure data confidentiality. Ideal for developers setting up production-ready integrations.

A comprehensive guide detailing best practices for securing Groq API keys and managing data privacy. It covers critical steps such as using environment variables, implementing secure key rotation procedures, preventing key leaks via pre-commit hooks, and defending against prompt injection attacks for robust application development.

A comprehensive guide covering Internationalization (i18n) and Localization (L10n) best practices. It details how to build applications that can support multiple languages, regions, and text directions (RTL). Covers implementation patterns for React, Next.js, and Python, along with essential guidelines for handling date/number formats and managing translation keys.

This comprehensive guide provides a multi-platform deployment solution for Ideogram-powered image generation APIs. It includes detailed code and setup steps for Vercel, Google Cloud Run, and self-hosted Docker containers. The solution addresses key production concerns, including secure secret management (API keys), handling generation timeouts, and ensuring generated images are persisted to durable cloud storage (like S3) with CDN integration for reliable service operation. Use this when migrating Ideogram prototypes to a production environment.