# Parallel Batch Work

Splits a large goal into bounded units, runs them in parallel, and verifies the result.

- Repository: https://github.com/codewhale-hq/Codewhale (41164 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add codewhale-hq/Codewhale --skill batch -g -a claude-code -y`
Codex: `npx skills add codewhale-hq/Codewhale --skill batch -g -a codex -y`
Cursor: `npx skills add codewhale-hq/Codewhale --skill batch -g -a cursor -y`
Gemini CLI: `npx skills add codewhale-hq/Codewhale --skill batch -g -a gemini-cli -y`

## Description

Break a large, parallelizable goal into bounded work units, coordinate existing agent/worktree machinery, integrate, and verify. Explicit-only.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Batch

## Invocation
Explicit-only. Do not start from ambient wording alone.

## When to use
Use for large parallelizable goals that need coordinated sub-work.

## Non-goals
- Do not invent a second orchestration engine; reuse delegate/fleet.
- Do not publish or deploy as part of batching.

## Workflow
1. Partition into bounded units.
2. Run units with existing agent/worktree tools.
3. Integrate results and verify.