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workflow-orchestrator

Batch-orchestrate staged AI development workflow items until terminal conditions.

9|Updated Feb 22, 2026
Search Tags:#workflow#development#parallel#batch#orchestrate#supervise
One-click install
npx skills add https://github.com/lhpaul/ai-dev-framework-template --skill workflow-orchestrator-lhpaul
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: workflow-orchestrator
Source: https://github.com/lhpaul/ai-dev-framework-template/tree/main/.codex/skills/workflow-orchestrator
Command: npx skills add https://github.com/lhpaul/ai-dev-framework-template --skill workflow-orchestrator-lhpaul

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Batch-orchestrate the repository's staged AI development workflow to coordinate multi-item progress and ensure steps are completed in a safe, auditable manner.

Core Features & Use Cases

  • Batch discovery: identify eligible workflow items and group them into safe parallel batches.
  • Per-item supervision: monitor each item until it reaches a terminal condition, with automatic retry and escalation as needed.
  • Protocol-driven execution: follow canonical workflow protocols and leverage helper scripts for state discovery, planning, and action classification.

Quick Start

Initialize a new batch with the workflow-orchestrator to scan items, generate batches, and supervise progress until all items are completed.

Frequently Asked Questions about workflow-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate parallel batches of AI development workflow items?▼

Batch-orchestrate staged AI development workflows by discovering eligible candidate items, grouping them into safe parallel batches, and monitoring each item until it reaches a terminal condition across development stages.

What is batch orchestration for staged development workflows?▼

Batch orchestration coordinates multi-item progress in a staged AI development workflow by forming safe parallel batches and supervising each item until completion, ensuring steps are executed in a safe and auditable manner.

Can I use helper scripts to discover workflow state and plan batches?▼

Yes, the workflow-orchestrator relies on helper scripts in scripts/development-workflow to discover state, plan batches, classify actions, and poll CI for completion alongside canonical workflow protocols.

How does the workflow-orchestrator supervise items until terminal conditions are met?▼

It provides per-item supervision by monitoring progress across development stages, polling CI for completion, and automatically applying retry and escalation as needed until each item reaches a terminal condition.

Do I need specific workflow protocols to batch-orchestrate AI development tasks?▼

Yes, protocol-driven execution follows canonical workflow protocols from docs/workflow/development-workflow/protocols/90-batch-orchestrate-work-protocol.md to ensure safe and auditable multi-item progress.

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