github-workflow-automation
AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
213 skills found
AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.
Write, structure, and maintain technical documentation like READMEs, API docs, runbooks, and architecture specs to keep your team aligned and informed.
Implement Extreme Programming (XP) practices including TDD, pair programming, and continuous integration to enhance team collaboration and technical excellence in software engineering.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM acts as the runtime. Orchestrate multi-agent workflows, manage state, and build resilient AI pipelines.
Synthesize performance profiling data into actionable recommendations and evidence-backed technical decisions.
Analyze UI/UX quality against 4 authoritative standards (NNg, Laws of UX, Apple HIG, WCAG) to receive actionable design and accessibility improvements for mobile and web components.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Maintains a centralized architecture overview with Mermaid diagrams to document system boundaries, module dependencies, and interface contracts for onboarding and refactoring.
Expert LangGraph architect skill for designing stateful, multi-actor AI agent workflows with robust persistence, conditional branching, and ReAct patterns.
Manage automatic model routing for Higress AI Gateway via CLI. Configure triggers for intelligent model selection based on request content.
Automate release note generation from git commits. Categorizes changes, transforms technical jargon into user-friendly summaries, and supports CHANGELOG.md, PR bodies, and Slack announcements.