Skill UI

This workflow helps developers quickly build throwaway prototypes to answer specific design or functionality questions. It can generate interactive terminal applications to test complex state/business logic, or create multiple radically different UI variations toggleable from a single view, allowing for rapid validation of ideas before committing to production code.

An end-to-end workflow for building robust, production-ready Python backend APIs. This guide covers all stages, including project scaffolding, SQLAlchemy database integration, Pydantic validation, implementing JWT/OAuth2 authentication, comprehensive error handling, unit testing, and Docker deployment for modern microservices.

This comprehensive workflow guides the development of modern, scalable full-stack applications using Next.js 14+, React, and TypeScript. It covers all phases, from project setup and component architecture to advanced data fetching (Server Components, React Query), styling with Tailwind CSS, robust testing (E2E via Playwright), and deployment optimization. Ideal for building complex, production-grade web interfaces.

This skill enables the transcription, display, and animation of captions within Remotion projects. It requires captions to be processed in JSON format using the specific Caption type. Users can generate captions from video/audio, display them in the final video, or import existing .srt files. It is suitable for video production workflows requiring automated or structured subtitle integration.

This skill enables users to export and render videos using the Remotion framework via command-line interface. It supports rendering full videos and still images with options for transparency. Users should follow the documented CLI commands like npx remotion render or npx remotion still. It is suitable for video production workflows involving Remotion projects.

Build production-ready Slack apps using the Bolt framework in Python, JavaScript, or Java. Covers Block Kit rich UIs, interactive components, slash commands, event handling, OAuth installation flows, and Workflow Builder integration.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This expert skill specializes in guiding comprehensive GitHub issue resolution. It covers systematic bug investigation, feature implementation, and collaborative development workflows. Expertise includes issue triage, root cause analysis, test-driven development, and professional pull request management, ensuring vague reports are transformed into production-ready code following modern CI/CD practices.

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

Master Temporal workflow orchestration using the Python SDK. Covers durable workflows, saga patterns, and distributed transactions. Includes guidance on async/await execution models, worker configuration, activity implementation, error handling, retry policies, and signal/query patterns. Ideal for building reliable, scalable distributed systems and production-ready workflow applications with Python.

Provision and manage Azure infrastructure with Terraform using the AzureRM provider, covering provider configuration, remote state, resource groups, VNets, AKS, Key Vault, examples, and production workflows.

This comprehensive workflow provides a complete cycle of quality assurance for software development. It covers every stage from defining the test strategy (TDD, Unit Testing) through integration, E2E testing, browser automation, performance profiling, security scanning, and final code review. Use this when setting up robust testing infrastructure or ensuring production-ready software quality.