Skill UI

This skill coordinates the complex parallel execution of end-to-end, integration, and unit tests across multiple frameworks (e.g., Jest, Playwright, pytest) and CI/CD environments. It manages test splitting, worker allocation, tiered execution strategies, and aggregates results into unified reports. Ideal for optimizing the testing lifecycle and ensuring robust quality assurance in large-scale, multi-component applications. Key functions include intelligent retry logic for flaky tests and building CI pipelines (e.g., GitHub Actions matrix).

Enables Claude to orchestrate complex test workflows via the test-orchestrator plugin, defining dependencies, parallel execution, and smart selection so only affected suites run during CI/CD or manual optimization requests.

Orchestrates multiple agents for complex workflows, decomposing feature, review, refactor, test, or documentation requests into parallel subtasks tracked via cc-mirror and TodoWrite for live visibility.

This skill enables the coordination of multiple specialized AI agents within a single session. It is designed for complex, multi-domain tasks such as comprehensive code reviews, security audits, or full-stack feature implementations. It coordinates expertise across various domains (backend, frontend, testing, architecture) to provide holistic analysis and actionable recommendations.

A sophisticated AI tool that coordinates multiple specialized agents (e.g., Security, Architecture, Performance) to provide comprehensive, multi-perspective code assessments. It goes beyond single-point reviews by managing context, running hybrid execution workflows, resolving conflicts, and synthesizing unified, actionable reports for high-quality code assurance.

Automates environment prep, service orchestration, and cleanup for executing integration test suites, covering database setup, migrations, and optional coverage reports.

This skill provides patterns and implementation templates for managing complex, long-running business processes across multiple independent services. It focuses on implementing the Saga pattern, ensuring data consistency in microservices architectures. It defines clear states, handles step execution, and crucially includes compensation logic to reliably roll back changes when any part of the workflow fails.

SkyPilot orchestrates ML training, batch jobs, and serving across 20+ clouds with automatic cost-aware region selection, spot-instance recovery, managed clusters, and GPU-aware distributed training, letting you optimize spend and avoid vendor lock-in.

Streamlines Superchat operations via Composio’s Rube MCP toolkit by enforcing tooling discovery, connection validation, and schema-compliant execution steps for reliable automation workflows.

This expert skill acts as a master orchestrator for Test-Driven Development (TDD), guiding users through the complete Red-Green-Refactor cycle. It specializes in coordinating complex, multi-agent testing workflows, integrating modern practices like BDD, ATDD, and AI-assisted test generation. Use it to ensure robust, highly maintainable, and thoroughly tested software systems across diverse technological stacks and complex development pipelines.

A comprehensive guide and expert resource for mastering durable workflow orchestration using the Temporal Python SDK. Covers advanced patterns including distributed transactions, saga implementation, signal handling, and query patterns. Essential for building highly reliable, scalable, long-running backend systems, and mastering async/await execution models for production deployment.

This skill leverages AI to analyze your application and automatically generate highly optimized Dockerfiles. It incorporates industry best practices like multi-stage builds, minimal base images, and robust security configurations. Use it when containerizing applications or needing to optimize existing Docker configurations for production deployment and efficient orchestration.