Skill UI

This skill enables the coordination of multiple specialized AI agents within a single session. It is designed for complex, multi-domain tasks such as comprehensive code reviews, security audits, or full-stack feature implementations. It coordinates expertise across various domains (backend, frontend, testing, architecture) to provide holistic analysis and actionable recommendations.

A sophisticated AI tool that coordinates multiple specialized agents (e.g., Security, Architecture, Performance) to provide comprehensive, multi-perspective code assessments. It goes beyond single-point reviews by managing context, running hybrid execution workflows, resolving conflicts, and synthesizing unified, actionable reports for high-quality code assurance.

Toolkit for prompt engineering experts to optimize prompts, evaluate LLM outputs, design agentic workflows, assess RAG quality, and curate few-shot examples across evaluation and orchestration tasks.

This expert skill acts as a master orchestrator for Test-Driven Development (TDD), guiding users through the complete Red-Green-Refactor cycle. It specializes in coordinating complex, multi-agent testing workflows, integrating modern practices like BDD, ATDD, and AI-assisted test generation. Use it to ensure robust, highly maintainable, and thoroughly tested software systems across diverse technological stacks and complex development pipelines.

Provides durable workflow automation guidance for AI agents, covering platforms like n8n, Temporal, Inngest and patterns such as sequential, parallel, and orchestrator-worker flows to turn brittle scripts into production-grade orchestration.

A comprehensive guide to architectural patterns for running Claude Code in autonomous, continuous workflows. It covers the entire spectrum of complexity, from simple sequential pipelines to advanced, multi-agent, RFC-driven Directed Acyclic Graphs (DAG) orchestration. Essential for building robust CI/CD-style pipelines and enabling fully automated development cycles.

A comprehensive protocol defining communication rules and orchestration patterns for multi-agent C-suite teams. It structures complex cross-functional analyses, simulates board meetings, and enforces hard rules—such as depth limits and loop prevention—to ensure consistent, verifiable, and non-circular business insights.

Comprehensive suite of 42 marketing agent skills spanning content, SEO, CRO, channels, growth, intelligence, and sales, built on a shared brand context plus orchestration router and stdlib-only Python tools for campaign automation.

Coordinates complex features via a humanplane-inspired RFC pipeline, breaking work into DAG-based agents with quality gates, merge queues, and unit orchestration to keep large jobs verifiable.

Coordinates discovery, matching, and workflow orchestration across agent ecosystems, automatically scanning SKILL.md, ranking relevant skills, and executing multi-step plans for complex requests.

A deep specialist for the Anthropic Claude Code CLI. This tool maximizes developer productivity by managing complex coding workflows. It provides advanced features like custom hooks, structured context retention via CLAUDE.md, sub-agent orchestration, and comprehensive system integration for terminal-based coding tasks.

A framework for building production-ready, low-latency, multimodal AI agents. It allows developers to orchestrate complex pipelines that seamlessly handle real-time audio, video, and text data. Key capabilities include integrating multiple AI services (LLMs, STT, TTS), managing conversation context, and enabling tool use and function calling for advanced, interactive AI applications.