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stream-chain

Execute multi-agent pipelines and sequential workflows via JSON chaining.

3|Updated Oct 8, 2025
Search Tags:#automation#workflow#multi-agent#orchestration#pipeline#chaining
One-click install
npx skills add https://github.com/seanchatmangpt/ggen --skill stream-chain-seanchatmangpt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/seanchatmangpt/ggen/tree/main/.archive/.claude-backup/.claude/skills/stream-chain
Command: npx skills add https://github.com/seanchatmangpt/ggen --skill stream-chain-seanchatmangpt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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 workflows 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.
  • Use Case: Automate a code refactoring process by first analyzing the codebase for smells, then generating a refactoring plan, and finally implementing the changes, with each step building upon the output of the previous one.

Quick Start

Execute a predefined analysis pipeline for your codebase.

Frequently Asked Questions about stream-chain

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

FAQPage Schema
How do I orchestrate multi-agent workflows for sequential code refactoring?▼

Multi-agent workflow orchestration allows you to chain prompts so one agent's output feeds directly into the next. You can automate code refactoring by sequentially analyzing code smells, generating a plan, and implementing changes.

What are predefined pipelines for data transformation and how do they work?▼

Predefined pipelines are battle-tested, sequential workflows for common tasks like code analysis and data transformation. They operate by executing a structured JSON chain of prompts, passing intermediate results through each stage automatically.

Can I create custom prompt sequences for tailored automation workflows?▼

Yes, you can define and execute custom prompt sequences for tailored automation workflows. This allows you to build a specific pipeline where the output of each prompt acts as the input for the next step in your sequence.

How does JSON chaining handle state and memory management in multi-agent pipelines?▼

JSON chaining structures the sequential workflow, while integration with Claude Flow handles advanced coordination and memory management. This ensures that state is maintained and passed correctly between agents throughout the pipeline execution.

Does this approach support automating a full codebase analysis and optimization pipeline?▼

Yes, you can execute a predefined analysis pipeline to automate a full codebase analysis. The workflow chains agents sequentially to handle analysis, refactoring, testing, and optimization tasks by building on each step's output.

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