stream-chain

Execute multi-agent pipelines through sequential prompt chaining and predefined workflows.

Updated Mar 5, 2026

Search Tags:#automation #workflow #multi-agent #data transformation #pipeline #chaining

Ready to run

npx skills add https://github.com/bjorkgard/convention-hosts --skill stream-chain-bjorkgard

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/bjorkgard/convention-hosts/tree/main/.agents/skills/stream-chain
Command: npx skills add https://github.com/bjorkgard/convention-hosts --skill stream-chain-bjorkgard

SYSTEM DOCUMENTATION & REQUIREMENTS

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 data transformation and sequential task execution.

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 the entire process of code refactoring by chaining prompts that identify code smells, plan changes, implement refactors, and verify the results.

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 automate multi-step code refactoring with sequential prompt chaining?▼

Sequential prompt chaining automates multi-step code refactoring by feeding the output of one agent directly as input to the next, enabling tailored workflows that identify code smells, plan changes, implement refactors, and verify results.

What is multi-agent pipeline execution for data transformation?▼

Multi-agent pipeline execution is a process that manages complex data transformations by passing sequential processing outputs between agents, enabling sophisticated task execution for code analysis and optimization without manual intervention.

Can I define custom workflows for my own data processing pipelines?▼

Yes, you can define and execute custom sequences of prompts to create tailored workflows, allowing you to build custom chains that address specific data transformation and sequential processing requirements.

Are there predefined workflows available for common code analysis tasks?▼

Yes, predefined pipelines are available for common tasks like code analysis, refactoring, testing, and optimization, providing battle-tested workflows that can be executed immediately without custom setup.

Does this multi-agent chaining approach work with swarm coordination and memory management?▼

Yes, multi-agent chaining supports integration with swarm coordination and memory management, allowing complex sequential workflows to maintain state and coordinate across multiple agents effectively.

When should I use sequential prompt chaining instead of single-agent processing?▼

Use sequential prompt chaining when your workflow requires complex, multi-step processes with intermediate data transformations, as it streamlines sequential task execution that would be difficult to manage within a single agent.