Skill UI

Provides reference architectures for building high-scale, reliable transcription systems using Deepgram. It covers four main patterns: synchronous REST for short files, async queues (BullMQ) for batch processing, WebSocket for real-time streaming, and a hybrid router for mixed workloads. Use this when designing production-grade audio processing pipelines.

This guide implements Deepgram's callback and webhook mechanism for handling asynchronous audio transcription. It provides a complete workflow, including submitting audio for background processing, setting up a secure webhook endpoint (with HMAC signature verification), and managing job status using Redis. Essential for integrating robust, delayed voice processing results into a production backend system.

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.

This skill teaches the critical principles and decision-making processes for safe production releases. It covers platform selection (e.g., Kubernetes, Vercel), mandatory pre-deployment verification (Code Quality, Environment), structured workflows (Prepare, Backup, Deploy, Verify), and advanced strategies like Blue-Green and Canary deployments. Focuses on thinking through risk mitigation, not just executing scripts.

This meta-skill coordinates the entire design lifecycle, ensuring that ideas are systematically refined through mandatory stages: brainstorming, risk assessment, and multi-agent review. It acts as a process gatekeeper, enforcing adherence to structured steps and mitigating risks before allowing implementation, thus preventing premature or flawed execution.

Guides teams through discovery, research, moodboards, palettes, typography, and Tailwind-ready code so they can ship distinctive, accessible front-end experiences with process validation.

Guides users through business-focused Discord bot generator tasks, offering automation patterns, workflow tips, and production-ready code aligned with best practices for email, spreadsheet, and process optimizations.

Automates Docsumo tasks through Composio’s toolkit via Rube MCP, guiding users to search the latest tools, validate connections, and execute schema-driven workflows so document processing stays reliable and consistent.

This workflow guides the complete process of generating legal documents using the Documenso API. It covers creating document shells, uploading PDFs, defining multiple recipient roles (Signer, Approver, Viewer), setting specific signing orders, and strategically placing various interactive fields (Signature, Date, Text) across multiple pages. It is ideal for building complex, multi-party agreement workflows and managing the entire document lifecycle.

Implement comprehensive, template-based workflows for documents. This skill allows users to create reusable templates, programmatically generate multiple instances of documents by filling pre-defined fields, and manage complex signing processes. It supports direct signing links for public access and provides React components for seamless embedding into custom applications.

This resource provides a minimal working example for implementing a complete digital document signing workflow using the Documenso SDK. It comprehensively guides users through creating a document, uploading a PDF file, adding designated recipients, placing specific signature fields, and finally triggering the signing process via code examples (TypeScript, Python) or REST API calls. Use this when integrating document signing into new applications or testing core document management capabilities.

Provides advanced patterns to significantly boost the performance and scalability of Documenso integrations. Key techniques covered include using templates to drastically reduce API round-trips, implementing metadata caching (e.g., using Redis) to minimize database lookups, and utilizing batch processing with concurrency control (p-queue) or asynchronous job queues (Bull) for handling large volumes of documents efficiently.