extract-tikz
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
A production-ready multi-agent orchestration framework built on Claude Agent SDK. Design, compose, and deploy complex AI workflows with pre-built architecture patterns.
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Claude Code configuration featuring specialized AI agents, custom skills, automated GitHub workflows with Epic/Task decomposition, and multi-agent orchestration patterns for complex software development
review-paper is a specialized AI agent skill designed for editors to review and evaluate manuscripts using a dual-agent approach
s_catann is a technical skill that automates the process of formatting AI agent responses, including the removal of ANSI color codes and the inclusion of visual elements.
seed is a self-improving agentic research system that combines structured knowledge processing with competitive hypothesis generation for automated file seeding and hypothesis creation
Video is a Tailscale-powered AI agent skill for controlling Claude Code from iOS and macOS devices using SwiftUI.
Verify is a provider-agnostic AI agent orchestration framework that adapts the verification-loop pattern for comprehensive testing and deployment.
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.