pipeline

Automate multi-agent workflows with sequential, branching, and parallel pipelines.

Updated Feb 14, 2026
One-click install
npx skills add https://github.com/shaun0927/codex-superskills --skill pipeline-shaun0927
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pipeline
Source: https://github.com/shaun0927/codex-superskills/tree/main/skills/pipeline
Command: npx skills add https://github.com/shaun0927/codex-superskills --skill pipeline-shaun0927

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Chaining AI agents into repeatable, end-to-end workflows to transform scattered prompts into an orchestrated execution plan.

Core Features & Use Cases

  • Sequential pipelines: connect agents in a linear flow where output from one becomes input for the next.
  • Branching and parallel pipelines: route tasks based on results and run steps in parallel, then merge results.
  • Built-in state and error handling: track progress, manage retries, and ensure verifiable completion.

Quick Start

Create a simple pipeline that explores code changes, architect analyzes results, and executor implements the changes.

Frequently Asked Questions about pipeline

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

FAQPage Schema
How do I automate multi-agent workflows for code review and feature implementation?

Automate multi-agent workflows by chaining AI agents into sequential, branching, or parallel pipelines. Output from one agent becomes input for the next, transforming scattered prompts into an orchestrated execution plan.

Can I run parallel stages and merge results when orchestrating AI agents?

Yes, you can run parallel stages and merge results when orchestrating AI agents. The pipeline routes tasks based on intermediate results, allowing simultaneous execution before combining the outputs.

How does state management and error handling work in an AI agent pipeline?

State management in an AI agent pipeline tracks progress and manages retries automatically. Built-in error handling enforces parsing, safe execution, and verifiable completion across all sequential and branching stages.

What is the best way to structure a debugging pipeline with multiple AI agents?

The best way to structure a debugging pipeline is connecting agents in a linear sequential flow. One agent explores code changes, an architect analyzes the results, and an executor implements the required fixes.

Do I need external dependencies to build branching pipelines for software engineering tasks?

No external dependencies are required to build branching pipelines for software engineering tasks. The orchestration logic handles data passing, state tracking, and execution internally without relying on external components.

When should I not use a multi-agent pipeline for task automation?

You should not use a multi-agent pipeline for simple, single-step task automation. Pipelines are designed for complex orchestration requiring sequential, branching, or parallel stages with data passing between multiple agents.