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Codex Parallel Subagents

codex-parallel-subagents

[DEPRECATED] Run multiple AI agent threads in parallel with bounded concurrency. Use evolving-workflow instead.

SKILL.md

Full skill instructions

Codex Parallel Subagents

DEPRECATED: This skill is deprecated. Use evolving-workflow instead, which provides a declarative workflow API with built-in parallel execution support via .concurrency(n).

Run multiple AI agent threads concurrently with bounded parallelism and collect results safely.

When to use this skill

  • Running multiple agent tasks in parallel
  • Fan-out work across files, packages, or repositories
  • Batch processing with rate limiting
  • Streaming progress from concurrent tasks
  • Collecting structured outputs from multiple agents

Quick navigation

Production-ready assets

Copy these to jumpstart your implementation:

AssetDescriptionRun
parallel_batchReentrant batch processing with stdin/​file input, offset/​limit, JSON outputmoon run -C assets/​parallel_batch assets/​parallel_batch
package_analyzerDiscover and summarize all MoonBit packagesmoon run -C assets/​package_analyzer assets/​package_analyzer

How to use these assets

  1. Copy the asset directory to your project
  2. Customize run_task() (or the main processing function) for your use case
  3. Adjust structs (TaskInput, etc.) if you need additional fields
  4. Set environment variables as needed (CODEX_WORKDIR, PARALLELISM)

See each asset's README for detailed usage and options.

Key rules

  1. One thread per task - never share threads across concurrent tasks
  2. Use semaphores - guard parallel runs with @async.Semaphore::new(n) to avoid rate limits
  3. Set working directory - use ThreadOptions::new(working_directory=...) for task isolation
  4. Allow failures - use allow_failure=true and capture errors per task
  5. Avoid conflicts - for tasks that modify shared resources (e.g., building software, editing same files), use git worktrees or separate directories to isolate each agent