super-swarm-spark
๐ฏSkillfrom am-will/swarms
|Orchestrates distributed data processing and parallel computing workflows across Apache Spark clusters with intelligent task allocation and dynamic resource management.
Overview
Super Swarm Spark is a parallel task executor from the CodexSkills collection that orchestrates a rolling pool of up to 15 concurrent subagents. It parses plan files, delegates tasks, and keeps agents running continuously for maximum throughput.
Key Features
- Maintains a rolling pool of up to 15 concurrent Claude Code subagents for parallel execution
- Parses plan files to extract task IDs, names, and context, then delegates to available agents
- Checks every result, updates the plan, performs integration fixes, and adjusts tests
- Prevents filename drift and provides maximum path/file context to each agent
Who is this for?
Developers working on large-scale projects who want to parallelize task execution across many Claude Code agents simultaneously.
Same repository
am-will/swarms(7 items)
Installation
npx vibeindex add am-will/swarms --skill super-swarm-sparknpx skills add am-will/swarms --skill super-swarm-spark~/.claude/skills/super-swarm-spark/SKILL.mdMore from this repository6
Super-swarm multi-agent orchestration for Claude Code and Codex. Plans with explicit dependencies and executes agents in parallel waves.
A co-design skill from Swarms, a multi-agent orchestration framework for Claude Code and Codex that plans with explicit dependencies and executes tasks in parallel waves.
Skill
Orchestrator skill for parallel task execution that parses plan files, delegates tasks to subagents based on dependency graphs, launches unblocked tasks simultaneously in waves, and updates plan docs with completion logs.
Creates dependency-aware implementation plans optimized for parallel multi-agent execution, with codebase investigation, documentation retrieval via Context7, explicit task dependencies for maximum parallelization, and plan review by a subagent before finalization.
Skill