Skill UI

Provides production-ready coding patterns for integrating Deepgram using TypeScript and Python. This guide covers essential best practices, including implementing singleton client management, performing text-to-speech synthesis with Aura, and setting up advanced audio intelligence pipelines (e.g., summarization, topic detection, sentiment analysis). Use this when establishing robust Deepgram integration standards, refactoring existing SDK usage, or migrating to newer SDK versions.

A comprehensive guide detailing security best practices for Deepgram API integration. It covers critical topics such as implementing scoped API keys, key rotation strategies, enabling built-in PII redaction for sensitive data, generating temporary client-side keys, and validating audio URLs to prevent SSRF attacks. Use this when building robust, production-grade applications requiring high data security and compliance.

A comprehensive guide for developers planning Deepgram SDK version upgrades (v3/v4 to v5) and model migrations (Nova-2 to Nova-3). This resource details breaking changes, provides side-by-side API comparisons, and includes automated validation scripts to ensure smooth integration of new features and improved speech recognition capabilities.

A comprehensive guide for mastering major dependency version upgrades in software development. This skill covers compatibility analysis, implementing staged upgrade strategies, resolving dependency conflicts, and setting up robust testing matrices (Unit, Integration, E2E) to ensure a smooth and reliable modernization process for any codebase.

Blueprint for designing comprehensive test suites, guiding when to add unit, integration, or E2E tests, selecting frameworks, managing data/mocks, and validating coverage and reliability.

An expert AI assistant specializing in modern Django 5.x development. It provides best practices, architectural guidance, and actionable steps for building scalable, secure, and highly performant web applications. Expertise covers async views, DRF, Celery, Channels, and comprehensive CI/CD integration. Use this when building enterprise-grade Django systems.

Automates Docker Hub workflows through the Composio MCP integration, letting teams list organizations, create orgs and repositories, manage members and teams, and configure image-push webhooks for predictable deployments.

Use Composio’s Rube MCP integration to discover Docmosis tool schemas, manage connections, and execute workflows while honoring schema rules and session handling for reliable automation.

This comprehensive guide details how to configure robust CI/CD pipelines for Documenso integrations using GitHub Actions. It covers best practices for automated unit testing with mocks, comprehensive integration testing against a staging environment, and secure deployment workflows, ensuring code quality and reliability from commit to production.

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.

Provides best practices for managing the entire document lifecycle within Documenso integrations. Covers secure PII handling, implementing automated data retention policies (e.g., deleting old drafts and archiving completed documents), and fulfilling GDPR data subject access and erasure requests. Essential for maintaining compliance and secure document storage.

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.