workflow-orchestration

Orchestrate multi-step AI agent tasks with planning, verification, and lessons capture.

113|11|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/vxcozy/workflow-orchestration --skill workflow-orchestration-vxcozy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow-orchestration
Source: https://github.com/vxcozy/workflow-orchestration/tree/main
Command: npx skills add https://github.com/vxcozy/workflow-orchestration --skill workflow-orchestration-vxcozy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Workflow orchestration helps prevent wasted effort and unreliable outputs by forcing disciplined planning, verification, and continuous improvement across non-trivial AI-assisted tasks.

Core Features & Use Cases

  • Plan Mode by default for tasks with 3+ steps or architectural decisions, reducing backtracking and ambiguity.
  • Subagent delegation to keep the main context clean while doing research, parallel analysis, and targeted verification.
  • Verification before “done” using staff-engineer-style checks, ensuring completeness and correctness before completion.
  • Lessons and self-improvement loops that capture user corrections into persistent rules to stop repeating the same mistakes.

Quick Start

Invoke the skill to orchestrate a non-trivial implementation with explicit planning, progress tracking, and verification.

Frequently Asked Questions about workflow-orchestration

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

FAQPage Schema
How do I prevent false completion claims when using AI agents for bug fixing?

Preventing false completion during bug fixing requires staff-engineer-level verification criteria before marking tasks done. This workflow orchestration approach mandates quality gates and explicit checks to ensure completeness and correctness.

What's the best way to plan multi-step refactoring tasks without polluting the main context?

Planning multi-step refactoring tasks without context pollution requires subagent delegation. This technique delegates targeted research and parallel analysis to subagents, keeping the main context clean and focused.

Can I use task orchestration to stop AI agents from repeating the same mistakes?

Yes, you can stop AI agents from repeating mistakes using task orchestration with self-improvement loops. This mechanism captures user corrections into persistent rules within tasks/lessons.md, creating continuous learning.

When do I need plan-first execution for software quality tasks?

You need plan-first execution for software quality tasks involving 3 or more steps or architectural decisions. This process reduces ambiguity and backtracking by forcing explicit planning before implementation begins.

Does workflow orchestration work without external dependencies?

Yes, workflow orchestration works without external dependencies. It operates as a repeatable task protocol using internal references, requiring no additional frameworks or libraries to implement planning, verification, and learning loops.