Skill UI

This guide provides a systematic, safe workflow for refactoring rapidly developed or AI-generated fullstack applications. It focuses on identifying and removing dead code, fixing broken imports, and consolidating repetitive logic while strictly maintaining existing API contracts, routes, and core functionality. Use this before launch to ensure a stable, maintainable production baseline, following a 'surgery, not demolition' philosophy.

A comprehensive, multi-phase quality assurance tool designed for Next.js fullstack applications. It verifies production readiness by checking code integrity, build success, SEO metadata, API authentication, route stability, performance, and security vulnerabilities. Use it as a mandatory pre-deployment checklist before promoting an app to production.

This skill simulates a Python project architecture expert, specializing in scaffolding full, production-ready applications. It generates complete project structures using modern tools like FastAPI, Django, and uv, enforcing best practices and type hinting. Use it when starting a complex, multi-component Python project from scratch.

This skill performs an observability-first audit of deployed Vercel applications. It comprehensively analyzes production metrics, project configurations, and codebase scans to identify potential cost overruns and performance bottlenecks. It provides version-aware, actionable recommendations for improving application efficiency and reducing cloud expenditure.

Use the HasData CLI to access real-time, structured web data from major platforms. This tool provides dedicated subcommands for various APIs (including Google SERP, Amazon, Zillow, Booking, etc.), enabling users to automate data collection, scrape specific URLs, and retrieve structured information like local business listings, product pricing, and real estate data directly from the command line.

This tool generates comprehensive weekly telemetry reports for the Azure Backup MCP toolset. It queries live production data from Kusto, performing advanced error analysis and classifying failures into three categories: Customer error, Azure Service failure, or MCP Tool Bug. The report correlates usage metrics with merged PRs and releases, producing an Outlook-compatible HTML summary for assessing tool health and stability.

Use the composio CLI to orchestrate complex, end-to-end product releases across multiple services: Stripe for billing updates, Supabase for database migrations, and Vercel for frontend deployments. This single pipeline ensures that billing models, database schemas, and user interfaces are consistently updated in the correct sequence, guaranteeing reliable full-stack product launches.

This meta-skill is designed for generating comprehensive competitive intelligence briefs for sales, business development, and strategy teams. It monitors signals across various dimensions (pricing, product, leadership, funding, etc.) for specified competitors or targets over a defined time window. It helps track changes against a baseline and provides actionable recommendations, moving beyond simple raw data dumps.

A powerful skill for generating high-quality single images from text prompts (Text-to-Image) or modifying existing images (Image-to-Image). It utilizes OpenRouter, supporting various aspect ratios and resolutions, making it ideal for concept art, product rendering, or any single visual asset creation. The tool handles sophisticated parameters like model choice and failure fallbacks.

This skill automates the transformation of high-level product specifications (PRDs) or feature specs stored in Notion into an actionable development lifecycle. It systematically parses requirements, generates structured implementation plans, breaks down complex needs into manageable, linked tasks, and facilitates continuous progress tracking, ensuring all development artifacts remain synchronized with the original spec.

This tool automates the diagnosis of production errors tracked by Sentry. By leveraging the Composio CLI, it retrieves comprehensive issue details, full stack traces, breadcrumbs, and associated commits. It maps stack frames to local source code, allowing agents to propose fixes and triage issues directly, eliminating manual copy-pasting.

This tool parses a structured, multi-shot video script (following the ai-video-script format) and automatically generates a time-coded SRT subtitle file. It calculates cumulative timestamps based on the duration of each shot, ensuring accurate subtitle cues that sync with the voiceover content across the entire sequence. Ideal for the post-production stage of short-form video creation.