Skill UI

This comprehensive guide demonstrates how to implement robust, real-time streaming UIs using Cohere's `chatStream` method. It details handling various event types, including content deltas, citation information for RAG, and structured tool call streams. A practical example is provided for creating a Server-Sent Events (SSE) endpoint, making it ideal for front-end integration with advanced AI features.

This skill provides comprehensive guidance for deploying and managing GPU-accelerated AI inference services on CoreWeave Kubernetes (CKS). It covers best practices including containerization using NVIDIA CUDA base images, configuring specific GPU resource limits (A100/H100), setting up robust health checks, and executing controlled rolling updates. Ideal for managing multi-model inference and scaling demanding AI workloads in a cloud environment.

A comprehensive guide to setting up CI/CD pipelines for ElevenLabs integrations. It implements a robust two-tier testing strategy: running mocked unit tests on every push to save API quota, and executing gated, real integration tests only on main branches or manually. Essential for automated validation of TTS projects using GitHub Actions.

This guide provides comprehensive instructions and code examples for deploying ElevenLabs Text-to-Speech (TTS) applications to various cloud environments, including Vercel (serverless), Fly.io (containers), and Google Cloud Run. It covers best practices for managing platform-specific secrets, configuring timeouts, and implementing real-time streaming audio capabilities for production-grade voice applications.

This comprehensive guide teaches you how to integrate and use the ElevenLabs Text-to-Speech (TTS) API. It provides multiple code examples (TypeScript, Python, cURL) for generating high-quality speech audio from text. Learn advanced features such as detailed voice parameter control, choosing optimal models (e.g., streaming vs. standard), and implementing low-latency streaming for real-time applications.

FastMCP CLI provides a unified command-line interface to interact with Model Context Protocol (MCP) servers. It allows users to discover available tools and invoke them programmatically using `fastmcp list` and `fastmcp call`. The CLI supports various server targets (HTTP URLs, local files, configs), complex argument types, and ensures structured output, making it essential for building automated, multi-tool workflows and system integrations.

A comprehensive diagnostic bundle designed to troubleshoot Fathom API connectivity, meeting sync failures, transcript availability, and authentication issues. It collects key data points (such as API status codes, rate limit headers, and meeting metadata) into a single archive, simplifying the process of diagnosing integration failures for support teams.

Provides comprehensive monitoring, metrics tracking, and alerting for all Figma API interactions. It instruments client calls to track key metrics like request latency, error rates, rate limit status, and cache performance. This solution ensures robust operational visibility, allowing developers to maintain high availability and stability for Figma integrations in production environments.

Automated guardrails for enforcing security policies and coding standards across all Figma API integrations. This tool is essential for CI/CD pipelines, helping to prevent credential leaks (PATs), validate API scopes, enforce request best practices, and ensure stable, secure connectivity with Figma.

This guide details advanced patterns for building production-grade fault-tolerant integrations with external APIs, specifically targeting Figma. Learn to implement critical reliability mechanisms such as Circuit Breakers to prevent cascading failures, cached fallbacks for graceful degradation, exponential backoff retries for rate limits, and request timeouts. Use this when your application must remain stable despite external service outages or performance degradation.

This comprehensive guide outlines essential security protocols for integrating with the Figma API. It covers best practices including securely storing Personal Access Tokens (PATs), implementing least-privilege scopes, managing token rotation lifecycles, and verifying incoming webhook payloads. Use this when setting up, auditing, or maintaining production-grade Figma integrations to ensure data integrity and prevent unauthorized access.

Automates the Continuous Integration (CI) and Continuous Deployment (CD) pipeline for Finta fundraising CRM data. It runs mocked unit tests on every pull request (PR) and executes comprehensive integration tests against the live API upon merging to the main branch. This ensures the integrity of data synchronization logic, pipeline stage transitions, and automated investor reporting workflows.