Skill UI

Automates Dictionary API tasks through Composio via Rube MCP, guiding you to search for tool schemas, verify the dictionary_api connection, and run matched tools with RUBE_MULTI_EXECUTE_TOOL while respecting sessions and pagination.

Provides Django testing strategies combining pytest-django, factory_boy, DRF helpers, mocking, and coverage so teams can adopt TDD workflows for models, views, serializers, and APIs.

A comprehensive quick-reference guide to diagnosing and resolving common Documenso API errors. Covers status codes (400, 401, 413, etc.), authentication issues, payload validation, rate limits, and best practices for successful document lifecycle management and API integration.

A comprehensive toolkit for diagnosing and troubleshooting Documenso integration issues. It includes connectivity tests (Bash), TypeScript diagnostics (API key, connection, write access), and debug logging wrappers.Use this to collect detailed diagnostic information necessary for resolving complex API problems and filing accurate support tickets.

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.

A comprehensive, step-by-step guide for migrating document signing workflows from legacy platforms (like DocuSign, HelloSign, etc.) to Documenso. It details the use of the Strangler Fig pattern, feature flagging, API mapping, and dual-write techniques to ensure zero-downtime, major platform switches and infrastructure upgrades.

This skill provides a comprehensive framework for implementing observability for Documenso integrations. It wraps API calls using proxies to track key metrics (request counts, latency, error rates) and sets up structured logging and health checks. Use this when setting up monitoring stacks (like Prometheus/Grafana) or debugging production issues, ensuring detailed operational metrics are available.

A comprehensive set of production-ready design patterns for integrating with the Documenso SDK. It covers best practices for managing singleton clients, building typed service wrappers, robust API error handling (including status code analysis), and automatically implementing retry logic with exponential backoff. Ideal for establishing stable, scalable, and maintainable coding standards in TypeScript and Python.

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.