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Use when running parallel AI workers for any long-running or multi-turn batch API task. Auto-calculates optimal workers + stagger. Supports tiered delegation (V4 Pro orchestrator → V4 Flash workers). 99.95% API success rate at scale.
deepswarm is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # DeepSwarm — Task-Agnostic Parallel Worker Orchestration Spawn N parallel API workers for **any** long-running or multi-turn batch task. Auto-calculates optima. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding deepswarm to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install amanning3390/deepswarmReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# DeepSwarm — Task-Agnostic Parallel Worker Orchestration Spawn N parallel API workers for **any** long-running or multi-turn batch task. Auto-calculates optimal worker count and s