stream-chain

Chain stream-JSON prompts to orchestrate sequential multi-agent workflows.

7|1|Updated Jan 8, 2026
One-click install
npx skills add https://github.com/frankxai/agentic-creator-os --skill stream-chain-frankxai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/frankxai/agentic-creator-os/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/frankxai/agentic-creator-os --skill stream-chain-frankxai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex, multi-step processes by allowing AI agents to work together sequentially, passing data and context between them.

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 full software development cycle by chaining prompts for requirement analysis, code generation, testing, and deployment documentation.

Quick Start

Run a custom chain of prompts to analyze the codebase, 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 orchestrate multi-agent workflows for sequential data transformation?

Multi-agent workflows can be orchestrated using stream-JSON chaining to pass data and context between AI agents sequentially, enabling sophisticated pipelines for complex task execution and data transformation.

Can I create custom prompt sequences for tailored software development pipelines?

Yes, you can define and execute custom chains of prompt sequences to automate software development cycles, chaining steps like requirement analysis, code generation, testing, and deployment documentation.

Does Claude Flow support memory persistence for multi-agent coordination?

Claude Flow integration provides advanced coordination and memory persistence for multi-agent pipelines, ensuring context is maintained across sequential workflows during complex task orchestration.

What's the best way to automate a full software development cycle using predefined pipelines?

Predefined pipelines offer battle-tested workflows for common tasks like analysis, refactoring, testing, and optimization, allowing you to automate full development cycles without manually defining each step.

Do I need stream-JSON knowledge to build custom data transformation pipelines?

Understanding stream-JSON chaining is necessary to build custom pipelines, as it is the core mechanism for passing data and context between sequential agents in your tailored workflows.