command-executor
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
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439 skills found
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
Perform cohort analysis on user engagement data. Identify retention trends, feature adoption rates, churn patterns, and generate actionable research recommendations through quantitative data analysis.
Manages complete plugin lifecycle for JUCE development: install, uninstall, reset, and destroy. Handles system folder deployment, cache management, and safe, version-controlled removal for audio developers.
React component development guide for LobeHub, including styling with antd-style, layout building with @lobehub/ui, and routing management.
A utility skill for testing multi-skill loading and orchestration within the Sheikh-CLI agentic framework.
Production-grade Bash scripting assistant enforcing safety, maintainability, and ShellCheck compliance. Includes automated headers, pattern enforcement, and risk-aware file modification checkpoints.
Production-ready scaffolding for React 19 projects using Vite, TypeScript, Biome, and Vitest. Provides strict configuration, linting, formatting, and testing infrastructure.
Universal CLI tool to convert and synchronize AI agent skills between Claude Code and Gemini CLI extensions.
Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files to serve as a source of truth for AI-driven UI generation.
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Automated repository synchronization for multi-repo ecosystems, featuring intelligent failure diagnosis, auto-repair for Git state issues, and integrated ecosystem health checks.
A scaffolding tool for generating production-ready Model Context Protocol (MCP) servers, including boilerplate, typed handlers, schema definitions, and test stubs for AI agent integrations.