Understanding OpenClaw's Speckit Swarm Skill: Agent Orchestration for Parallel AI Workflows

The Speckit Swarm skill is a native implementation of an agent‑orchestration system built on top of OpenClaw’s tooling. Inspired by the oh‑my‑opencode paradigm, it provides a structured way to break down complex AI‑assisted tasks into smaller, parallelizable chunks while ensuring each piece is completed fully. The skill lives in the skills/speckit-swarm/ directory and consists of several TypeScript modules that work together to detect trigger keywords, select appropriate agent personas, plan task decomposition, and enforce continuation until the work is done. At its core, Speckit Swarm relies on four main components. The Ultrawork Detector watches for the keywords "ulw" or "ultrawork" in a user’s prompt and, when found, flags the request for parallel execution. Agent Personas are a collection of specialized system prompts that define how each AI agent should behave—ranging from relentless orchestration to deep work, design debugging, research, or fast scouting. The Task Planner takes a