Skill UI

This skill teaches the critical principles and decision-making processes for safe production releases. It covers platform selection (e.g., Kubernetes, Vercel), mandatory pre-deployment verification (Code Quality, Environment), structured workflows (Prepare, Backup, Deploy, Verify), and advanced strategies like Blue-Green and Canary deployments. Focuses on thinking through risk mitigation, not just executing scripts.

A comprehensive guide detailing best practices for optimizing GraphQL queries against external APIs, demonstrated using Fireflies.ai. Learn advanced techniques such as requesting minimum required fields (field selection), implementing robust caching strategies (LRU/Redis), and managing rate limits through controlled batch processing and pagination. This ensures stable, fast, and scalable data retrieval.

This guide provides comprehensive techniques to optimize LangChain applications for production environments. Learn how to measure baseline latency, implement efficient caching strategies (in-memory, Redis, SQLite), utilize batch processing with concurrency control, and maximize perceived speed through streaming. Furthermore, it covers prompt optimization and strategic model selection to ensure high throughput and low costs.

Expert in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This role focuses on optimizing the entire information retrieval process—from document chunking and embedding model selection to vector database architectures and hybrid search strategies. The goal is to bridge the gap between raw knowledge documents and accurate LLM understanding, drastically reducing hallucination and enhancing context relevance for enterprise applications.

This guide provides a comprehensive walkthrough for developing and deploying Apify Actors. Actors are serverless, containerized applications designed for powerful tasks like web scraping, data processing, and complex automation. Learn the mandatory setup, template selection (Python, JS, TS), step-by-step development workflow, and crucial security best practices for building robust, production-ready data pipelines.

This skill demonstrates how to use Playwright MCP to programmatically automate the process of inputting data into a web form. It covers various input types, including text fields, date selection, time setting, and file uploads. The process simulates realistic user interaction for data entry or form submission testing, emphasizing the ability to fill data without final submission for review purposes.

This skill provides a comprehensive guide to optimizing costs when using AssemblyAI for speech-to-text transcription. It details model selection (Best vs. Nano), guides feature budgeting (e.g., Diarization, Sentiment Analysis), and includes code examples for cost estimation and usage tracking. Use this when managing billing, reducing operational expenses, or implementing budget alerts for high-volume audio processing.

A comprehensive skill for capturing and documenting web application and graphical UI states during the development cycle. It supports full-page captures using Playwright, reliable post-processing cropping with PIL, capturing interactive states (hovers, selections), and even handles non-web desktop applications using mss/ctypes.

This meta-skill acts as a routing layer for complex UI development tasks. It guides the process of selecting the smallest, most specific, and useful skill context using the ui-skills CLI. Use it when starting UI work to analyze goals, identify the correct category, and pinpoint the precise skill set needed for implementation, ensuring development efficiency and accuracy.

This comprehensive guide outlines the entire end-to-end workflow for submitting and presenting at ACM Multimedia (ACM MM). It breaks down the complex process into distinct phases—from initial thematic scoping and track selection, through the OpenReview abstract submission, paper and supplement delivery, rebuttal, decision, camera-ready preparation, and final conference presentation. It provides actionable advice, risk mitigation strategies, and re-targeting options for both success and rejection.

This tool acts as a comprehensive router, guiding users through the specific stages of writing a short-format manuscript for American Economic Review: Insights (AER: Insights). It helps structure the process from initial topic selection and identifying a single core insight, through literature positioning, model refinement, and final submission/rebuttal preparation, ensuring compliance with strict length and scope requirements.

This guide serves as a comprehensive router for authors preparing an invited review article for the Annual Review of Psychology (ARPsych). It outlines the systematic, multi-stage process, guiding authors through topic selection, literature synthesis, framework development, writing style refinement, and final submission/revision, ensuring the final piece is authoritative and comprehensive.