Distribute subtasks to sub-agents and select models for orchestrated workflows.
npx skills add https://github.com/cintia09/openclaw-skills --skill task-dispatch-cintia09
Please help me install this Agent Skill. Skill: task-dispatch Source: https://github.com/cintia09/openclaw-skills/tree/main/task-dispatch Command: npx skills add https://github.com/cintia09/openclaw-skills --skill task-dispatch-cintia09
The skill provides a structured approach to delegating work across sub-agents and selecting appropriate models to optimize task outcomes and efficiency.
Spawn three sub-agents for a given task and assign models per the default priority, then collect and compare their outputs.
High-intent search queries and answers about installing and using this skill.
Sub-agent task allocation distributes subtasks to specialized agents while model selection strategy determines which models handle different subtasks. This optimizes task completion by matching high-precision reasoning or fast prototyping models to specific workflow stages.
Sub-agent task allocation automatically distributes subtasks to specialized agents while model selection strategy determines which models handle different subtasks. This optimizes task completion by matching high-precision reasoning or fast prototyping models to specific workflow stages.
Sub-agent task allocation automatically distributes subtasks to specialized agents while model selection strategy determines which models handle different subtasks. This optimizes task completion by matching high-precision reasoning or fast prototyping models to specific workflow stages.
Sub-agent task allocation automatically distributes subtasks to specialized agents while model selection strategy determines which models handle different subtasks. This optimizes task completion by matching high-precision reasoning or fast prototyping models to specific workflow stages.
Sub-agent task allocation automatically distributes subtasks to specialized agents while model selection strategy determines which models handle different subtasks. This optimizes task completion by matching high-precision reasoning or fast prototyping models to specific workflow stages.
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