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deepswarm - Task-Agnostic Parallel Worker Orchestration

Orchestrates parallel API workers for long-running or multi-turn batch tasks with auto-calculated stagger and tiered model delegation.

Tags

Updated: 2026-09-18

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Calculate optimal workers and stagger
  • Execute parallel batch API workers
  • Delegate tasks using tiered models
  • Process multi-turn conversation loops
  • Save execution progress checkpoints
  • Filter and clean output data

Inputs

  • Task configuration YAML file
  • Seeds dataset file
  • API key
  • Custom worker script

Outputs

  • Batch output data files
  • Error log files
  • Execution checkpoint files

Requirements

  • Python 3
  • Hermes Agent CLI
  • API endpoint credentials

Source

  • Spec: SKILL.md

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orchestration
parallel-workers
batch-api
multi-turn
tiered-delegation
Calculate optimal workers and stagger
Execute parallel batch API workers
Delegate tasks using tiered models
Process multi-turn conversation loops
Task configuration YAML file
Seeds dataset file
API key
Batch output data files
Error log files
Execution checkpoint files