Skill UI

HasData is a comprehensive cloud platform designed for extracting structured public web data. It supports three core execution modes: Web Scraping API for arbitrary URLs (including JS rendering), pre-parsed Scraper APIs for known platforms (like Google or Amazon), and asynchronous Scraper Jobs for bulk or recursive crawling. Ideal for market research, e-commerce intelligence, job data collection, and local business lead generation.

This meta-skill automates the process of compiling a daily briefing on the top submissions from the arXiv repository. It fetches the latest papers in a specified category, generates a structured, per-paper digest summarizing the core claims, methods, and key findings. It then renders this information into a professional PowerPoint deck (one slide per paper) and persists the entire digest into long-term memory. Ideal for daily research briefings or knowledge management.

This meta-skill provides an auditable workflow for professional compliance self-assessments (e.g., GDPR, SOC2). It executes deep research while retaining citation evidence, then compiles the findings into a comprehensive package: a signable DOCX report, a read-only PDF archive for permanence, and a persistent memory note to guarantee the evidence chain is recallable. Ideal for structured policy auditing.

This meta-skill automatically inspects open GitHub Pull Requests, failing CI runs, and new issues. It utilizes the GitHub API to gather critical updates and summarizes the findings into three actionable buckets (To Review, Awaiting Me, CI Red). Finally, it persists follow-up tasks to long-term memory, helping developers efficiently prioritize their daily workflow.

Designed for complex troubleshooting in home or small-team environments. This meta-skill orchestrates the entire process, guiding users through symptom intake, environment capture, external knowledge lookup, and generating a safe, step-by-step, and reversible repair plan for issues involving networks, Docker, Git, printers, and more.

This meta-skill provides a complete pipeline to bootstrap a domain knowledge base from any single seed input (URL, PDF, Git repository, or free text). It automatically classifies the source type, ingests the content using a multi-search engine, persists the summary to memory, and finally generates a structured XLSX index file, making the information immediately searchable and usable.

This meta-skill takes a single source text and automatically renders it into four professional, distinct deliverables: a detailed Word report (.docx), a presentation slide deck (.pptx), a structured Excel data file (.xlsx), and a clean PDF version (.pdf). It ensures consistency across all required formats and greatly enhances content deployment efficiency for different business audiences.

This meta-skill is designed exclusively to orchestrate and formalize complex workflows composed of multiple existing skills. It acts as a comprehensive governance layer, guiding the user through intent clarification, trigger collision checks, linting, and proposal persistence. Use it when proposing a multi-step, integrated solution, but do not use it for simple standalone skill requests.

This meta-skill automates the entire process of transforming raw Excel data into structured business insights. It reads the raw data, performs advanced trend and anomaly analysis, writes the resulting findings to a dedicated 'Insights' sheet, and persists key performance indicators (KPIs) to long-term memory. Ideal for comprehensive business reviews and data-driven decision-making.

This guide provides comprehensive details on the OpenPitrix application management system within KubeSphere. It covers the entire application lifecycle, including managing app repositories (Repo), uploading and versioning templates (Application/ApplicationVersion), conducting review processes, and finally deploying/upgrading applications (ApplicationRelease). Use this skill when troubleshooting App Store interactions, understanding KubeSphere's backend APIs, or managing deployed workloads.

An internal utility designed for deep investigation of JavaScript or TypeScript stack traces. It analyzes complex runtime errors, providing specific checks for asynchronous boundaries, module resolution issues, JSON parsing failures, and type contract violations. It aids developers by generating minimal reproduction commands and identifying potential patch targets for robust error handling.

This tool converts local source audio recordings into a specified, authorized target voice. It manages the complex workflow, including checking source and target voice rights, handling linguistic specifics (locale, accent), and performing previews before generating final assets. It is essential for professional narration, podcasting, and content localization while adhering to strict copyright and identity policies.