MCP App StoreMCP App StoreSwarm-Loop provides a sophisticated orchestration framework for autonomous agents. It categorizes tasks into three scales—Quick, Interactive, and Mission—and manages them through a strict state machine: Scale Determination → Init → Explore → Plan → Execute → Checkpoint → Gate.
Trigger this skill for any task involving codebase changes, especially complex missions that require autonomous exploration, multi-agent parallelization, and structured planning via @fix_plan.md.
mission-init.sh), status tracking (loop-status.sh), and worktree allocation.Primarily designed for advanced AI agents (e.g., Claude Code) capable of managing sub-agents, shell execution, and persistent state files.
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Starlark Dev
Create, debug, and test Kurtosis Starlark packages — write package structure, run dry-runs, and inspect plan execution for reliable orchestration.
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Orchestrates complex engineering workflows with enforced design and approval gates, child-agent delegation, and session state management.
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Orchestrates execution of work items across modes (autopilot, confirm, validate) with scripted init/complete tooling, plan/test/report artifacts and strict gati
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Control tmux sessions for interactive TTYs: send keystrokes, capture panes, orchestrate parallel coding agents, and monitor output safely.
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Orchestrates ad-hoc feature development: requirement gathering, planning, implementation and validation across task-planning, implementation, and validation loo
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Box0 (b0)
Run and coordinate parallel AI sub-agents locally or on a server to delegate reviews, tests, research, and other specialist tasks.