stream-chain

Orchestrates sequential multi-agent workflows by chaining prompt outputs into configurable pipelines.

Updated Dec 12, 2025

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

Ready to run

npx skills add https://github.com/MichelMokbel/RMS-1 --skill stream-chain-michelmokbel

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/MichelMokbel/RMS-1/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/MichelMokbel/RMS-1 --skill stream-chain-michelmokbel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of managing complex, multi-step AI workflows where the output of one agent must be seamlessly passed as context to the next, ensuring logical progression and data integrity.

Core Features & Use Cases

Custom Chains: Execute flexible, multi-step prompt sequences tailored to specific development or data tasks.
Predefined Pipelines: Utilize battle-tested workflows for common tasks like codebase analysis, refactoring, testing, and performance optimization.
Use Case: A developer can use the refactor pipeline to automatically identify technical debt, prioritize refactoring candidates, and generate optimized code snippets in a single, cohesive execution.

Quick Start

Execute the stream-chain skill to run a custom sequence of prompts for analyzing your codebase structure and generating an improvement 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 by passing one output as context to the next step?▼

You can automate multi-agent workflows by chaining sequential prompt outputs as context for subsequent processing steps. This approach manages complex data transformations and automated code refactoring while ensuring logical progression and data integrity across the pipeline.

What is the best way to set up a multi-stage pipeline for automated code refactoring?▼

Setting up a multi-stage pipeline for automated code refactoring is best handled through predefined operational workflows. These pipelines identify technical debt, prioritize refactoring candidates, and generate optimized code snippets within a single, cohesive execution.

Can I create custom prompt sequences for specific development tasks instead of using predefined pipelines?▼

Yes, you can execute custom, flexible multi-step prompt sequences tailored to specific development or data tasks. This allows you to define your own user-defined sequences for specialized data transformations rather than relying solely on standardized workflows.

Do I need specific dependencies to run multi-agent streaming pipelines in my development environment?▼

No specific dependencies are required to run multi-agent streaming pipelines. The orchestration operates within your development environment, supporting configurable timeouts and debugging capabilities to manage sequential workflows without external modules.

What are the limitations when orchestrating sequential workflows with configurable timeouts?▼

When orchestrating sequential workflows with configurable timeouts, limitations generally relate to the complexity of the custom chains and the debugging capabilities required. If a step fails or times out, the logical progression and data integrity of the multi-stage pipeline execution may be interrupted.