MCPInstall

batch-orchestration

Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.

Installs
143
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/rohitg00/pro-workflow --skill batch-orchestration
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads batch-orchestration automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Batch Orchestration

The /batch command pattern for large-scale parallel changes.

How It Works

/batch <instruction>
  │
  ├── 1. Research: scan repo, understand scope
  ├── 2. Decompose: split into 5-30 independent units
  ├── 3. Present plan: show units, ask for approval
  ├── 4. Execute: one background agent per unit in isolated worktree
  └── 5. Collect: each agent runs tests and opens a PR

Syntax

/batch Convert all React class components to function components
/batch Add error boundaries to every page component
/batch Migrate from moment.js to dayjs across the codebase
/batch Add OpenTelemetry tracing to all API handlers

The instruction should describe the change pattern, not individual files. The batch system finds the files.

Phase 1: Research

The orchestrator scans the repo to find every instance that matches the instruction:

grep -r "class.*extends.*Component" --include="*.tsx" -l

It builds a complete list of targets and groups them by independence.

Phase 2: Decompose

Each unit must be:

  • Independent — no shared state with other units
  • Self-contained — can be implemented and tested alone
  • Verifiable — has a clear pass/fail criteria

Good units:

Unit 1: Convert src/components/Header.tsx (class → function)
Unit 2: Convert src/components/Footer.tsx (class → function)
Unit 3: Convert src/components/Sidebar.tsx (class → function)

Bad units:

Unit 1: Convert all components in src/components/ (too broad)
Unit 2: Fix issues from Unit 1 (dependent)

Target 5-30 units. Fewer than 5 doesn't justify the overhead. More than 30 and coordination costs grow.

Phase 3: Plan Approval

The orchestrator presents:

BATCH: Convert class components to function components

Found: 18 class components across src/

Units (18):
  1. src/components/Header.tsx — class Header → function
  2. src/components/Footer.tsx — class Footer → function
  ...
  18. src/pages/Settings.tsx — class Settings → function

Per unit: convert class to function, update hooks, run component tests
Estimated: ~2 min per unit, ~5 min total (parallel)

Proceed? (y/n)

Wait for approval. Never spawn agents without explicit confirmation.

Phase 4: Execute

After approval, for each unit:

  1. Create isolated git worktree
  2. Spawn background agent in that worktree
  3. Agent implements the change
  4. Agent runs relevant tests
  5. Agent opens a PR

Agents run in parallel. Each has its own context window and worktree — no conflicts.

[Agent 1] ── worktree-1 ── Header.tsx ── tests pass ── PR #41
[Agent 2] ── worktree-2 ── Footer.tsx ── tests pass ── PR #42
[Agent 3] ── worktree-3 ── Sidebar.tsx ── tests fail ── flagged

Phase 5: Collect

After all agents complete:

  • Summary of pass/fail per unit
  • Links to opened PRs
  • Any units that failed with error details
  • Failed units can be retried individually

Best For

Use CaseWhy Batch Works
API migrationsSame pattern across many endpoints
Dependency upgradesFind/replace + fix across codebase
Codemod-style refactorsMechanical transformation, file by file
Adding instrumentationSame tracing/logging pattern everywhere
Test coverage gapsAdd tests to untested modules independently
Lint rule adoptionApply new rule fixes across all files

Anti-Patterns

Don't BatchWhy
Interdependent changesUnits can't run in parallel if they depend on each other
Shared state modificationsMultiple agents writing to the same config or state file
Architecture changesNeed holistic reasoning, not file-by-file
Schema migrationsDatabase changes must be sequential
Changes requiring human judgment per fileDefeats the purpose of automation

Relationship to Other Patterns

PatternScaleIsolation
Direct edit1-3 filesNone needed
Subagent1 focused taskForked context
Worktree1 feature branchFull repo copy
Agent teams3-5 parallel tasksShared task list
Batch5-30 identical patternFull worktree per unit

Batch is the heaviest tool. Use it when the change is mechanical, repetitive, and the units are truly independent.

Guardrails

  • Always review the decomposition before approving
  • Each agent must run tests before opening a PR
  • Failed units get flagged, not silently skipped
  • Clean up worktrees after all agents complete
  • Review PRs in batches — don't merge blindly

FAQ

What does the batch-orchestration skill do?

Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.

How do I install batch-orchestration?

Run npx skills add https://github.com/rohitg00/pro-workflow --skill batch-orchestration in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/batch-orchestration/ (personal) or .claude/skills/batch-orchestration/ (project).

Which AI agents can use batch-orchestration?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is batch-orchestration safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains batch-orchestration?

It is published by rohitg00 in rohitg00/pro-workflow. It has 143 recorded installs.

More from rohitg00/pro-workflow

View all →

token-efficiency

rohitg00/pro-workflow

Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Inspired by drona23/claude-token-efficient.

pro-workflow

rohitg00/pro-workflow

Complete AI coding workflow system. Orchestration patterns, 18 hook events, 8 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.

wrap-up

rohitg00/pro-workflow

End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Use when saying "wrap up", "done for the day", "finish coding", or ending a coding session.

deslop

rohitg00/pro-workflow

Remove AI-generated code slop, unnecessary comments, and over-engineering from the current branch diff. Cleans up boilerplate, simplifies abstractions, strips defensive code, and in skill-file mode lints SKILL.md files for quality. Use when cleaning up code, simplifying, removing boilerplate, before committing, or when reviewing a skill before promoting it.

learn-rule

rohitg00/pro-workflow

Open the skill to read its SKILL.md instructions.

session-handoff

rohitg00/pro-workflow

Generate a structured handoff document capturing current progress, open tasks, key decisions, and context needed to resume work. Use when ending a session, saying "continue later", "save progress", "session summary", or "pick up where I left off".

Popular productivity & automation skills

View category →

agent-browser

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

OfficialProductivity & Automation1.3M installs

lark-doc

open.feishu.cn

飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

lark-base

open.feishu.cn

飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。

lark-drive

open.feishu.cn

飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

lark-im

open.feishu.cn

飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。