stream-chain

Stream each step's output to the next in multi-agent workflows.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/script-repo/002-NXClaw --skill stream-chain-script-repo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/script-repo/002-NXClaw/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/script-repo/002-NXClaw --skill stream-chain-script-repo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stream-chain enables reliable orchestration of multi-step, multi-agent workflows by streaming each step's output to the next, reducing manual handoffs and latency.

Core Features & Use Cases

  • Two modes: Custom Chains (run) for flexible prompt sequences, and Predefined Pipelines (pipeline) for ready-made workflows.
  • Cross-step context propagation and memory persistence to maintain state across steps and sessions.
  • Use cases include code analysis, refactoring, testing, and data-processing pipelines across development workflows.

Quick Start

Provide two or more prompts to start a custom chain, or choose a predefined pipeline to run an end-to-end workflow.

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 by streaming step outputs?

You can orchestrate multi-agent workflows by providing sequential prompts to build custom chains or selecting predefined pipelines, streaming each step's output directly to the next.

How does cross-step context propagation work in multi-agent pipelines?

Cross-step context propagation maintains state by passing data and leveraging memory persistence across sequential steps, ensuring each agent retains necessary workflow context.

Can I use streaming pipelines for code analysis and automated refactoring?

Yes, streaming pipelines support code analysis and automated refactoring through predefined workflows that sequentially process code across multiple specialized agents.

Do I need external dependencies to run multi-agent streaming chains?

No external dependencies are required to run multi-agent streaming chains, as the orchestration operates independently with configurable timeouts and optional internal script components.

What is the best way to build a custom multi-step data processing chain?

The best way to build a custom multi-step data processing chain is providing two or more sequential prompts, streaming each output to the next step with configurable timeouts.

What are the limitations of using streaming orchestration for DevOps automation?

Limitations of streaming orchestration for DevOps automation include managing configurable timeouts and ensuring proper memory persistence when chaining multiple complex agent steps.