Skill UI

A comprehensive, adaptive framework for managing the entire software development lifecycle, from initial project specification to final execution. It automatically sizes the depth of the workflow (Specify, Design, Tasks, Execute) based on the complexity and scope of the feature or project. Ideal for starting new projects, mapping existing codebases, implementing complex features with atomic verification, and maintaining persistent state across sessions.

Automate Token Metrics operations through Composio’s toolkit by orchestrating Rube MCP searches, connection checks, and schema-compliant executions so every `RUBE_MULTI_EXECUTE_TOOL` call runs with up-to-date tooling details and pagination awareness.

Uses Rube MCP and Composio's Tomtom toolkit to automate Tomtom workflows, from fetching live tool schemas with `RUBE_SEARCH_TOOLS` to validating `RUBE_MANAGE_CONNECTIONS` status and executing `RUBE_MULTI_EXECUTE_TOOL` calls with schema-compliant arguments.

Tracks and optimizes application response times using the response-time-tracker plugin, covering API endpoints, database queries, external calls, frontend rendering, and background jobs to highlight bottlenecks or SLO breaches.

Automatically guides the creation of technical-doc tutorial outlines, covering API docs, user guides, architecture docs, and documentation automation with best practices, production-ready outputs, and validation when you mention “tutorial outline creator”.

A comprehensive utility suite for handling external API rate limits, specifically designed for services like TwinMind. It implements advanced patterns including exponential backoff with jitter and request queue management. Use this to ensure resilient, high-throughput, and stable interactions with resource-constrained AI APIs, minimizing 429 errors.

An expert specialist for rigorous visual validation, focusing on UI testing, design system compliance, and WCAG accessibility verification. This skill systematically analyzes visual evidence for cross-platform consistency, pixel-perfect accuracy, and adherence to modern design standards, utilizing principles from visual regression testing and comprehensive QA methodologies.

This skill acts as an expert test automation specialist, capable of analyzing source code across multiple languages (Python, JavaScript, TypeScript, etc.). It generates comprehensive, maintainable unit test suites using best practices, maximizing code coverage, and specifically targeting edge cases and exception handling. Use it to ensure high code quality and structural consistency.

Upstash QStash expert handles serverless message queues, scheduled HTTP jobs, retries, deduplication, and callback tracking so you can deliver asynchronous tasks without managing infrastructure.

Ensures database integrity via the data-validation-engine plugin by automatically enforcing data types, ranges, formats, referential integrity, and business rules whenever validation or database integrity requests arise across multi-database environments.

Automatically checks application metrics such as load times, bundle sizes, and API responses against predefined performance budgets, surfacing regressions and preventing slippage before deployments—ideal for CI/CD workflows.

This guide details how to integrate Vast.ai's GPU provisioning capabilities into automated CI/CD pipelines, such as GitHub Actions. It enables developers to run GPU-accelerated tests, model benchmarks, and validations automatically. Key features include robust instance lifecycle management (provisioning, running, and cleanup) and advanced cost-control mechanisms (e.g., setting budget limits) to ensure reliable and efficient testing in a cloud environment.