dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. This skill orchestrates multiple AI agents (Codex, GLM, MiniMax, Amp, Grok) to work in parallel, maximizing throughput while avoiding conflicts. Covers task decomposition, agent selection based on capabilities, RALPH loop integration, conflict prevention, and real-world parallel execution examples.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. This skill orchestrates multiple AI agents (Codex, GLM, MiniMax, Amp, Grok) to work in parallel, maximizing throughput while avoiding conflicts. Covers task decomposition, agent selection based on capabilities, RALPH loop integration, conflict prevention, and real-world parallel execution examples.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-21
- Index updated
- 2026-01-23
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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