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A comprehensive guide detailing essential security best practices for integrating with Documenso document signing. Covers critical topics such as secure API key management (using environment variables), robust webhook secret verification (preventing timing attacks), implementing least privilege document access control, and setting up secure self-hosted signing certificates and secrets.

A comprehensive guide for migrating from Documenso's legacy v1 API (document-centric) to the modern, recommended v2 API (envelope-based). This resource covers SDK upgrades for TypeScript and Python, providing code migration examples, best practices for implementing feature flags for gradual rollout, and steps for self-hosted container version upgrades.

This comprehensive workflow bundle guides the entire documentation lifecycle for software projects. It covers planning, API specification (OpenAPI), architectural design (C4 model), code commenting (JSDoc/TSDoc), generating READMEs, and maintaining structured knowledge bases (Wikis, Changelogs). Use this system when documenting a new product, maintaining an evolving codebase, or creating comprehensive technical guides.

This expert skill specializes in creating comprehensive, maintainable technical documentation directly from existing codebase, configurations, and comments. It can generate various artifacts, including API specifications, system architecture diagrams, detailed user guides, and technical references, ensuring consistency and accuracy using AI-powered analysis and industry best practices. Ideal for building robust documentation pipelines and standardizing documentation across large repositories.

This guide provides comprehensive templates and best practices for structuring all types of technical documentation. It covers essential formats including README files, REST API endpoints, code comments (JSDoc), Changelogs, Architecture Decision Records (ADR), and AI-optimized documentation. Use these templates to ensure your project documentation is standardized, scannable, and easily consumable by both human developers and AI agents.

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 specializes in building robust, scalable, and cloud-native backend microservices using the latest .NET 8 and C# 12 features. It masters modern architectural patterns, including Clean Architecture, CQRS with MediatR, and minimal APIs. Expertise covers secure authentication (JWT), data persistence with Entity Framework Core, asynchronous programming best practices, and comprehensive unit/integration testing, ensuring highly maintainable and performant code.

A comprehensive guide for building robust, event-driven APIs using Webhooks, Server-Sent Events (SSE), and message brokers (e.g., Kafka, RabbitMQ). This skill covers advanced patterns like the transactional outbox pattern, implementing event schemas, managing webhooks with retry logic, and establishing real-time streaming endpoints for asynchronous microservices communication. Ideal for architecting complex, scalable, and resilient systems.

Guides using Composio's Eodhd Apis toolkit through the Rube MCP to search tool schemas, manage connections, and run multi-tool workflows with schema-compliant inputs and memory/session handling.

Provides step-by-step guidance for automating Etermin operations through Composio's Rube MCP, covering tool discovery, connection checks, execution patterns, and schema compliance requirements when using RUBE_* APIs.

Evaluates large language models across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag) with standardized prompts and metrics, making it easy to benchmark HuggingFace or API models, compare releases, and track training progress.

A comprehensive guide to diagnosing and resolving common errors encountered when using the Evernote API. It covers three main exception types—User, System, and Not Found—and provides practical solutions, including ENML validation, rate limit retry mechanisms, and safe resource retrieval patterns, ensuring robust application integration.