Dispatch table rows in parallel to subagents and merge results.
npx skills add https://github.com/patorn/langgraph-template --skill swarm-patorn
Please help me install this Agent Skill. Skill: swarm Source: https://github.com/patorn/langgraph-template/tree/main/.agents/skills/swarm Command: npx skills add https://github.com/patorn/langgraph-template --skill swarm-patorn
Dispatches many independent items in parallel: create a table, fan out to subagents, and aggregate results for faster outcomes.
Dispatch a set of rows by creating a table, run in parallel, and merge the results back into the table.
High-intent search queries and answers about installing and using this skill.
To dispatch tasks in parallel, you create a table of independent items, fan out the rows to subagents concurrently, and aggregate the results back into the table. Batching and concurrency controls manage the distribution.
Processing thousands of rows with subagents is handled through controlled batching and parallel dispatch. The system scales from dozens to thousands of rows while enforcing structured output merging to maintain data integrity.
You can use flexible sources for task generation including glob patterns, explicit file paths, or custom task rows. The system fans out these inputs across subagents concurrently for processing.
Batch merging aggregates per-row results back into a single table while enforcing error handling. This structured output merging maintains data integrity even when dispatching tasks concurrently across subagents.
You need parallel dispatch when you have many independent items to process and want faster outcomes. By fanning out to subagents concurrently with controlled batching, you accelerate processing and aggregate results efficiently.
soilSpoonIdentify claims in content and dispatch six parallel verification agents.
mindspore-aiSummarize and compare operator performance results from result.json files.
bitsocialnetTranslate i18next keys into 36 languages via subagents and update scripts.
SkylerCookDispatch specialized agents to handle independent tasks in parallel.
