Mmcp.market

batch-orchestration skill

by rohitg00·rohitg00/pro-workflow·2.9k stars

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.

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Install the batch-orchestration skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. 

git clone --depth 1 https://github.com/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p ~/.claude/skills
cp -r /tmp/pro-workflow/skills/batch-orchestration ~/.claude/skills/batch-orchestration
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

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

Anti-Patterns

Relationship to Other Patterns

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

More skills from rohitg00/pro-workflow

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  • Aauto-setupAuto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.
  • Cbug-captureCapture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".
  • Acompact-guardSmart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.
  • Acontext-engineeringMaster the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.
  • Acontext-optimizerOptimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.
  • Acost-trackerTrack session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.
  • Adesign-engineeringApply interface craft when building or reviewing UI - motion, easing, timing, springs, component feel, and visual foundations. Use when building a component, animation, transition, hover or press state, modal, drawer, toast, or when polishing an interface so it feels right. Says "make this feel better", "add an animation", "polish the UI", "review this component".
  • AdeslopRemove 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.
  • Adomain-modelingBuild the project's shared language and bounded contexts before writing code, so names stay consistent and the agent stops paraphrasing domain concepts. Produces a CONTEXT.md glossary and decision records. Use at the start of a project or feature, or when the codebase and the people describing it speak different languages.
  • Afile-watcherConfigure file watching hooks to auto-react to config changes, env file updates, and dependency modifications. Use to set up reactive workflows.
  • Aimprove-architectureAudit an area of the codebase and propose the smallest structural moves that improve it - untangle boundaries, kill duplication, fix seams, break cycles. Produces a prioritized plan and decision records, not a rewrite. Use when a codebase feels tangled, hard to change, or is becoming a ball of mud, or when asked to improve or refactor architecture.

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