Skill UI

This skill guides the development of production-grade APIs, MCP servers, and enterprise backends using modern C#/.NET best practices. It covers essential architectural components such as dependency injection (DI), advanced caching strategies (e.g., Redis), data access optimization with EF Core/Dapper, and implementing resilience patterns, ensuring robust and scalable software design.

This skill details best practices for handling and structuring Evernote data. It covers designing local database schemas (SQL), advanced ENML content processing (to Markdown/HTML), managing attachments, and implementing reliable incremental synchronization using Update Sequence Numbers (USN). Ideal for developers building robust applications requiring deep, local data access and integrity checks for Evernote content.

Implement robust Role-Based Access Control (RBAC) specifically for Evernote integrations. This guide covers multi-tenant architectures, handling Evernote Business accounts, defining granular permissions (READ, WRITE, FULL), and creating authorization middleware. Essential for building secure, enterprise-grade SaaS applications that manage shared corporate data.

This guide provides comprehensive best practices for securing Evernote API integrations. It covers essential topics like secure credential management using environment variables or vaults, implementing CSRF-protected OAuth flows, encrypting access tokens at rest using AES-256-GCM, rigorous input validation, and ensuring secure logging practices by redacting sensitive data. Use this when hardening your application against data breaches.

A comprehensive guide and implementation pattern for enforcing granular Role-Based Access Control (RBAC) on the Exa search API in multi-tenant or enterprise environments. This skill demonstrates how to implement API key scoping, restrict search domains by role, enforce maximum result limits, and track daily usage to ensure robust data governance and security.

A comprehensive guide to configuring Fireflies.ai's Enterprise Role-Based Access Control (RBAC). Learn how to manage workspace roles (Admin, Member, Guest), organize transcripts into specific channels, control granular privacy levels, and manage external sharing via detailed API instructions. Essential for large organizations managing sensitive meeting data.

This guide details the comprehensive setup process for authenticating with the Fireflies.ai GraphQL API. It covers retrieving the API key, configuring environment variables, and verifying connectivity using code examples for Node.js, Python, and cURL. Essential for securely integrating Fireflies data into external applications and automating transcript access.

This expert tool automates compliance checks for EU GDPR and German DSGVO. It scans codebases for privacy risks (PII, special data), generates formal Data Protection Impact Assessments (DPIA), and manages the entire lifecycle of Data Subject Access Requests (DSARs), ensuring adherence to strict legal deadlines. Ideal for privacy audits and compliance planning.

This comprehensive guide covers the entire data lifecycle management for Granola meeting notes. Users learn how to export data using local cache scripts or Enterprise APIs, set customized data retention policies, and handle data subject access requests (SARs). It is essential for maintaining GDPR/CCPA compliance and ensuring data portability.

Configure robust role-based access control (RBAC) for Granola workspaces, essential for enterprise-level data security and governance. This guide details setting up role hierarchies (Owner, Admin, Member, Viewer), defining granular permissions, integrating SSO/SCIM for automated provisioning, and implementing least-privilege access principles. It also covers advanced features like per-workspace sharing policies and detailed audit logging to ensure regulatory compliance.

This utility provides programmatic access to Granola meeting data, enabling developers to build automated post-meeting workflows. Users can read meeting notes from the local cache, integrate with MCP servers for AI context, automatically extract action items and assignees, and sync outcomes directly into coding tasks, project documentation, or issue trackers like GitHub. Ideal for automating the development lifecycle from meeting insights.

This skill provides comprehensive guidance on optimizing Guidewire application performance. It covers advanced development techniques such as optimizing Gosu queries using the Query API, implementing efficient batch processing with BatchProcessBase, implementing caching strategies for frequently accessed reference data, and performing JVM heap tuning via the Guidewire Cloud Console (GCC). Use this when system performance bottlenecks are detected in Guidewire insurance or core business platforms.