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pipeline

Chain multiple AI agents into sequential, branching, or parallel workflows.

Updated Aug 27, 2026
Search Tags:#automation#workflow#agent#orchestration#pipeline#chaining
One-click install
npx skills add https://github.com/mrsono0/lectures --skill pipeline-mrsono0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pipeline
Source: https://github.com/mrsono0/lectures/tree/main/.claude/skills/pipeline
Command: npx skills add https://github.com/mrsono0/lectures --skill pipeline-mrsono0

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables the chaining of multiple AI agents into sequential or branching workflows, allowing the output of one agent to serve as the input for the next, automating complex tasks.

Core Features & Use Cases

  • Sequential Pipelines: Define a series of agents where tasks flow linearly (e.g., explore -> architect -> executor).
  • Branching Pipelines: Route agent execution based on conditional logic derived from previous agent outputs.
  • Parallel-Then-Merge: Execute multiple agents concurrently and combine their results.
  • Built-in Presets: Utilize pre-defined pipelines for common tasks like code review, implementation, debugging, and research.
  • Use Case: Automate a comprehensive code review process by chaining an explore agent to find relevant code, an architect agent to analyze design, a critic agent to evaluate the analysis, and an executor agent to implement suggested changes.

Quick Start

Use the pipeline skill to execute a review of the codebase for the task 'implement user authentication'.

Frequently Asked Questions about pipeline

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

FAQPage Schema
How do I chain multiple AI agents together to automate a workflow?▼

You can orchestrate complex AI agent workflows by chaining multiple agents in sequential, branching, or parallel configurations to automate comprehensive task execution.

Can I route AI agent execution conditionally based on previous outputs?▼

Yes, conditional routing allows agent execution to branch dynamically based on specific logic or data derived directly from the outputs of previous agents in the pipeline.

How do I run multiple AI agents in parallel and combine their results?▼

Parallel-then-merge configurations execute multiple agents concurrently and combine their results, enabling efficient data processing within your automated workflow orchestration.

Are there pre-defined agent pipelines available for common software engineering tasks?▼

Built-in presets provide pre-defined pipelines for common tasks like code review, implementation, debugging, and research, allowing you to automate standard processes quickly.

Does the pipeline support retry logic and state management for automated tasks?▼

The orchestration process supports advanced features including retry logic and state management to ensure reliable data passing and robust execution of automated tasks.

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