stream-chain

Execute multi-agent pipelines through sequential prompt chaining and predefined workflows.

1|1|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/Geralt1983/Thanos --skill stream-chain-geralt1983
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/Geralt1983/Thanos/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/Geralt1983/Thanos --skill stream-chain-geralt1983

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines complex, multi-step processes by allowing agents to sequentially process data, enabling sophisticated pipelines and data transformations.

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: Output from one step automatically becomes the input for the next, facilitating complex data manipulation and agent coordination.
  • Use Case: Automate a full code review process by chaining prompts for code analysis, vulnerability scanning, test coverage checks, and report generation.

Quick Start

Execute a custom chain of three prompts: "Analyze codebase structure", "Identify improvement areas", and "Generate 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 automate multi-agent workflows with sequential prompt chaining?

Multi-agent workflows are orchestrated by defining custom prompt sequences where the output of one step automatically becomes the input for the next. This enables sequential data transformation and complex automated task execution within predefined pipelines.

What is sequential prompt chaining for data transformation pipelines?

Sequential prompt chaining is a mechanism that passes data through a series of agents, using the output from one prompt as the input for the next. This facilitates complex data manipulation and multi-step processing.

Does stream-chain work with Claude Flow for memory persistence?

Yes, stream-chain integrates directly with Claude Flow to provide advanced orchestration and memory persistence. This allows multi-agent pipelines to maintain context and state throughout complex sequential task execution.

Can I define my own custom prompt sequences for tailored agent workflows?

Yes, you can define and execute your own custom chains of prompts to create tailored workflows. The Skill also provides predefined pipelines for common tasks like code analysis, refactoring, testing, and optimization.

What is the best way to automate a full code review process across multiple agents?

The best way is to use predefined pipelines that chain prompts for code analysis, vulnerability scanning, test coverage checks, and report generation. This sequentially passes data through each step to complete the complex review process.