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.
540 skills found
Create high-performance AI skills by reverse-engineering successful GitHub projects and proven open-source methodologies.
Orchestrates complex multi-agent software development using a structured Royal Navy squadron metaphor, featuring mission planning, parallel task coordination, and rigorous audit logs.
Build production-ready, reusable Terraform modules for multi-cloud infrastructure. Includes standardized patterns for AWS, Azure, GCP, and OCI with built-in testing and validation.
Queen-led multi-agent orchestration for Claude Code, featuring Byzantine consensus, persistent collective memory, and adaptive task distribution for complex software projects.
Structured 6-phase workflow for planning and implementing features, skills, and architectural changes with automated tool discovery and safety verification.
Generate absurdly thorough, professional README.md files for any project, covering local development, system architecture, and deployment instructions.
Test-driven development (TDD) workflow for Spring Boot applications using JUnit 5, Mockito, MockMvc, and Testcontainers.
Build and execute state-machine based automations with human-in-the-loop support for complex, multi-step business processes.
A specialized skill for generating high-quality technical documentation, code comments, API specs, and README patterns. Automates standard documentation workflows for C# and TypeScript projects.
Automates the creation and maintenance of JSDoc documentation for DuploJS utilities, ensuring consistent index.md structures and synchronized code examples.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.
Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.