skill-from-github
Create high-performance AI skills by reverse-engineering successful GitHub projects and proven open-source methodologies.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
492 skills found
Create high-performance AI skills by reverse-engineering successful GitHub projects and proven open-source methodologies.
Architectural planning and scaling for spectre-build, covering GUI, server layers, multi-model support, and industrial pipeline orchestration.
Self-modify your Milady agent by managing plugins. Edit code, rebuild, and restart the runtime to develop new capabilities or improve agent workflows locally.
Generate clinical trial protocols for medical devices and drugs. Supports modular, waypoint-based design, research integration, and regulatory documentation alignment.
Expert guidance for Shopify app development, including CLI setup, Remix framework architecture, OAuth flows, app extensions, and production deployment on platforms like Cloudflare Workers.
Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.
Integrate Snowflake with MCP clients. Manage Snowflake endpoints, validate connectivity, and leverage Cortex AI (Search, Analyst, Agent) services directly within your AI workflow.
CMMI-based SDLC router providing process guidance, requirements management, architectural decision support, quality assurance, and governance for GitHub and Azure DevOps workflows.
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Fetch, index, and search developer documentation from GitHub and websites to provide AI agents with accurate, grounded, and version-specific code context.
CLI tool that automatically renames academic PDF files using AI-extracted metadata, supporting multiple providers like Claude, OpenAI, Gemini, and Ollama.
Enriches vague prompts by performing codebase research and asking targeted questions to clarify user intent before execution.