Skill UI

This skill provides comprehensive management for multiple local Command Line Interface (CLI) agents. It allows users to start, stop, monitor, and assign tasks to these agents, running them in separate tmux sessions for parallel execution. It is ideal for complex, scheduled workflows requiring multi-agent coordination, task monitoring, and log tailing, making it invaluable for advanced automation setups.

A comprehensive skill for creating, editing, and automating complex spreadsheet workflows using LibreOffice Calc. This includes generating new ODS files, performing format conversions (XLSX, CSV, PDF, etc.), executing advanced formulas, and automating data processing through Python scripting (UNO, ezodf) or command-line interfaces. Ideal for data analysis, reporting, and batch processing tasks.

Provides comprehensive guidance for developing robust, cross-platform Command Line Interface (CLI) applications. Covers the entire workflow from initial UX analysis and command design to implementation using popular frameworks (e.g., commander, click, cobra). Key features include advanced argument parsing, handling shell completions, displaying progress bars, and ensuring reliable terminal interactions across Windows, macOS, and Linux.

This skill provides a comprehensive command-line interface (CLI) for managing the entire lifecycle of projects, issues, and teams within the Linear product management platform. Users can create, update, list, and change the status of issues and entire projects, ensuring proper traceability and organized development cycles. It supports direct integration using Linear CLI commands for robust workflow automation.

This guide provides a comprehensive walkthrough for integrating Lokalise into any project. It covers installing the Node.js SDK (@lokalise/node-api) and the local command-line interface (lokalise2). Crucially, it details the process of generating, setting, and verifying API tokens or OAuth credentials, ensuring secure and functional communication with the Lokalise platform. Use this when setting up a new localization integration or refreshing existing credentials.

A comprehensive guide to installing and configuring the Vast.ai Command Line Interface (CLI) and REST API access. This skill is used for setting up new cloud integrations, managing API keys, and initializing access to GPU compute instances from the Vast.ai marketplace. It provides steps for CLI authentication, environment variable setup, and implementing a Python client for resource management.

This skill guides developers through installing the Vercel Command Line Interface (CLI) and configuring secure authentication. It covers multiple setup scenarios, including interactive OAuth login, setting environment tokens for CI/CD pipelines, and linking a local project directory to a specific Vercel project. Essential for initial project setup and ensuring smooth deployments.

Vexor is a powerful command-line interface designed for advanced semantic search across local files. By utilizing vector embeddings and integrating with large language models (like Claude/Codex), it allows users to search files based on meaning and context, rather than just exact keywords. This is ideal for large codebases or document repositories where traditional keyword search methods are insufficient.

This skill provides AI-powered assistance for advanced terminal operations within development environments. It helps users execute complex commands, suggests completions, explains cryptic error messages, and generates optimized shell scripts. Use it when you need advanced shell scripting help, command suggestions, or debugging support in your command-line interface (CLI) workflow.

ZAI CLI provides comprehensive access to Z.AI's advanced capabilities, including image/video analysis, real-time web search, web page extraction, and GitHub code exploration. It is designed for users needing multi-modal content analysis, error diagnosis, and complex data processing through a unified command-line interface. Ideal for developers and analysts requiring robust, API-driven AI functionality.

Guides users through the AionUi Settings interface to enable WebUI, open remote access via LAN, Tailscale, or server deployment, fetch access credentials, and troubleshoot service issues without using the command line.

This guide details the process of converting standalone software or command-line interfaces (CLIs) into structured, reusable serverless Actors compatible with the Apify platform. Actors are packaged as Docker images, accepting defined JSON inputs and producing structured JSON outputs. This methodology enables scalable web scraping, data processing, and complex automation on Apify.