stream-chain

Orchestrate multi-step agent workflows by streaming outputs between sequential steps.

Updated Mar 7, 2026

Search Tags:#automation #workflow #multi-agent #streaming #orchestration #pipeline

Ready to run

npx skills add https://github.com/nickm538/wifi-sensing-advanced --skill stream-chain-nickm538

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/nickm538/wifi-sensing-advanced/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/nickm538/wifi-sensing-advanced --skill stream-chain-nickm538

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streaming multi-agent workflows can be complex to orchestrate and require reliable data flow between steps and preserved context.

Core Features & Use Cases

Orchestrates sequential, dependent steps by piping outputs from one agent to the next.
Supports custom chains and predefined pipelines for common development tasks.
Enables memory integration and cross-agent collaboration for scalable automation.

Quick Start

Create a three-step chain by running stream-chain with three prompts and observe the sequential outputs.

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 AI workflows with sequential data streaming?▼

Multi-agent AI workflows are orchestrated by streaming outputs between sequential steps, piping data from one agent to the next. This preserves context and ensures reliable data flow for complex automation pipelines.

What is the best way to automate complex data transformation pipelines across codebases?▼

Automating data transformation pipelines involves defining custom chains and predefined pipelines for development tasks. The system executes these sequentially, passing transformed data between dependent steps automatically.

Can I integrate memory and custom scripts into a multi-step streaming workflow?▼

Memory integration and custom scripts are supported in multi-step streaming workflows. You can configure prompts, add optional components like references and assets, and enable cross-agent collaboration for scalable automation.

How do I set up a three-step chain to stream outputs between AI agents?▼

To set up a three-step chain, run the stream-chain process with three configurable prompts. Observe the sequential outputs as the system pipes the result from one agent directly into the next step.

Does this multi-agent orchestration tool support run and pipeline modes for engineering tasks?▼

Run and pipeline modes are supported for engineering tasks. These modes allow you to execute complex automation workflows using configurable prompts and custom pipeline definitions tailored to your specific requirements.

When should I use predefined pipelines instead of custom chains for workflow automation?▼

Use predefined pipelines for common development tasks to quickly execute standard automation workflows. Create custom chains when you need specific sequential data transformations or unique multi-agent orchestration logic.