command-executor
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
535 skills found
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
An AI-powered engine for creating high-performing LinkedIn posts, featuring research-backed hooks, proven structures, and engagement-focused formatting for B2B, thought leadership, and founder content.
Discover, analyze, and summarize trending GitHub repositories, project health, and technical stacks to stay updated on open-source ecosystems.
Standardized workflow and guidelines for Laravel 11/12 application development, including stack detection, dependency management, and integration with Laravel Boost tools.
Generate absurdly thorough, professional README.md files for any project, covering local development, system architecture, and deployment instructions.
Write, structure, and maintain technical documentation like READMEs, API docs, runbooks, and architecture specs to keep your team aligned and informed.
Create a comprehensive product strategy using the 9-section Product Strategy Canvas to define your vision, segments, value propositions, and defensibility.
Meta Marketing CLI for Graph API automation, managing ad campaigns, insights reporting, and Instagram publishing with fail-closed security.
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.
A toolkit for writing clear, accessible, and concise content. Applies Plain Language Movement principles including active voice, sentence shortening, and jargon elimination for improved reader comprehension.
A specialized skill for building and managing Next.js App Router API routes, handling HTTP methods, request bodies, streaming, and response configuration.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.