Vector clock implementation for tracking causal event ordering, distributed concurrency, and happens-before relations across agent networks.
genpark-vector-clock-causal-ordering-skill
Production-Grade Distributed Swarm & Consensus Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
genpark-vector-clock-causal-ordering-skill provides mathematically proven distributed systems, consensus coordination, and conflict-free replication primitives engineered strictly using Python 3.9+ standard library.
🌟 Key Architectural Capabilities - Zero External Dependencies: Operates exclusively via pure Python (time, math, json, uuid). Zero socket/grpc compilation overhead, zero external dependencies. - Enterprise Distributed Invariants: Implements formal LWW CRDT state reconciliation, Raft leader election terms & quorum validation, Vector Clock happens-before causal graphs, token-bucket gossip dissemination, and ACID 2-phase commit atomic coordination. - Native Anthropic MCP Protocol: Compliant with standard JSON-RPC 2.0 stdio MCP specifications for Claude Desktop, Cursor, and Windsurf.
🏗️ Architectural Topology & State Machine
🔌 One-Click MCP Integration (Claude Desktop / Cursor)
Add to your claudedesktopconfig.json or cursor.json:
This skill contains pre-configured smithery.yaml and pyproject.toml manifests. Install directly via pip:
Maintained with ❤️ by GenPark AI Engineering • Powering Autonomous Distributed Swarms 🌍
From the project README.
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