Skill UI

This skill is designed to comprehensively edit and improve existing articles. It first analyzes the content, dividing it into logical sections based on headings and considering the dependencies between information points. Subsequently, it rewrites each section to enhance clarity, coherence, and flow, ensuring the prose is tighter and more professional. Use this when you need to revise a draft, academic paper, or long-form content.

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.

A comprehensive checklist guiding the safe and robust deployment of Text-to-Speech (TTS) integrations powered by ElevenLabs into a live production environment. It covers critical steps including API configuration, implementing health checks, setting up circuit breakers for resilience, and establishing thorough monitoring and rollback procedures, ensuring reliable voice feature go-live.

Establishes comprehensive Continuous Integration and Continuous Deployment (CI/CD) workflows for Fathom meeting intelligence. This setup includes unit tests using mocked transcripts to validate data parsing logic and robust integration tests that connect to the live Fathom API. It ensures the reliability of webhooks and data processing for real-time meeting summaries and action items upon every pull request or merge.

This skill provides comprehensive guidance on optimizing complex integrations with the Figma API to minimize operational costs and prevent hitting rate limits. It covers architectural best practices, such as transitioning from inefficient polling to webhook-driven systems, batching multiple requests, and using parameters like `depth=1`. Essential for building scalable, cost-effective SaaS solutions.

A comprehensive checklist for deploying and auditing Figma REST API integrations in a production environment. It covers critical best practices including secure authentication, robust error handling (backoff, retries), rate limit management, continuous monitoring setup, and secure webhook implementation, ensuring a stable and reliable product launch.

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.

This skill provides comprehensive CI/CD pipeline setup for Fly.io edge deployments. It automates unit testing on pull requests, deploys to staging environments, and promotes changes to production upon merging to the main branch. It handles Docker builds, uses flyctl for deployment, and includes health checks to ensure service reliability and seamless automated delivery.

A comprehensive guide to managing the full application lifecycle on Fly.io. This workflow covers deploying applications, configuring the environment using fly.toml, managing sensitive secrets, scaling resources across multiple regions, and controlling the application's operational state (including suspension and destruction). Ideal for setting up production-grade, resilient cloud services.

This comprehensive bundle collects all necessary diagnostic evidence for Fly.io applications, including machine status, application logs, volume metadata, and network diagnostics. It is crucial for generating detailed support tickets and troubleshooting complex infrastructure issues such as stuck deployments, boot failures, or edge networking problems.

This skill provides advanced integration for deploying applications on Fly.io, focusing on edge computing architectures. It covers building production-ready Docker images, configuring `fly.toml` for services and health checks, and executing sophisticated deployment strategies like blue-green and canary releases. It ensures reliable, scalable deployment across multiple regions, including automated rollbacks and micro-VM optimization.

This guide demonstrates how to deploy a minimal "Hello World" application to the Fly.io platform. It covers two primary deployment methods: using the simple `flyctl` Command Line Interface (CLI) for quick setup, and utilizing the advanced Machines API for programmatic deployment. This skill is ideal for beginners starting a new Fly.io project, or for implementing robust, globally distributed edge compute infrastructure.