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coreyhulen
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stream-chain

Execute multi-step agent workflows by chaining prompts and predefined pipelines.

1|Updated Dec 22, 2017
Search Tags:#automation#workflow#multi-agent#data transformation#pipeline#chaining
One-click install
npx skills add https://github.com/coreyhulen/enviroment --skill stream-chain-coreyhulen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/coreyhulen/enviroment/tree/main/claude-init/skills/stream-chain
Command: npx skills add https://github.com/coreyhulen/enviroment --skill stream-chain-coreyhulen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines complex, multi-step processes by allowing the output of one agent to be fed directly as input to the next, enabling sophisticated sequential data transformations and automated workflows.

Core Features & Use Cases

  • Custom Chains: Define and execute your own sequences of prompts for tailored workflows.
  • Predefined Pipelines: Utilize battle-tested workflows for common tasks like analysis, refactoring, testing, and optimization.
  • Data Flow: Ensures context is passed sequentially, enabling agents to build upon previous outputs.
  • Use Case: Automate the entire process of code refactoring by chaining prompts that identify code smells, plan the refactoring, implement the changes, and then generate tests for the updated code.

Quick Start

Run a custom chain of three prompts to analyze code, identify improvements, and generate an action plan.

Frequently Asked Questions about stream-chain

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

FAQPage Schema
How do I chain prompts together for sequential data transformation?▼

Sequential data transformation is achieved by feeding the output of one agent directly as input to the next. This allows you to define custom prompt sequences that pass context and build upon previous outputs.

What is the best way to automate multi-step code refactoring workflows?▼

Automating multi-step code refactoring workflows is best handled by chaining predefined pipelines. You can sequentially execute prompts to identify code smells, plan the refactoring, implement changes, and generate tests.

Can I define my own custom workflows for complex task orchestration?▼

Yes, you can define custom workflows for complex task orchestration. The system supports custom pipeline definitions, allowing you to tailor sequences of prompts for your specific development and data processing needs.

Does multi-agent workflow execution support predefined pipelines for common tasks?▼

Multi-agent workflow execution supports predefined pipelines for common tasks. You can utilize these battle-tested workflows to streamline processes like analysis, refactoring, testing, and optimization.

How does multi-agent coordination maintain context across sequential steps?▼

Multi-agent coordination maintains context by ensuring data flows sequentially through the pipeline. This mechanism passes the output of one step directly as input to the next, allowing agents to build upon previous transformations.

When should I use predefined pipelines instead of custom prompt chains?▼

Use predefined pipelines for common tasks like analysis and optimization to leverage established workflows. Choose custom prompt chains when you need tailored sequences to execute specific multi-step data processing logic.

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