stream-chain

Chain AI agent outputs for multi-step data transformation workflows.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/eysenfalk/git-review --skill stream-chain-eysenfalk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/eysenfalk/git-review/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/eysenfalk/git-review --skill stream-chain-eysenfalk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines complex multi-step processes by allowing AI agents to communicate and pass data sequentially, enabling sophisticated automation and data transformation pipelines.

Core Features & Use Cases

  • Custom Chains: Define and execute your own sequences of AI prompts for tailored workflows.
  • Predefined Pipelines: Utilize ready-to-use workflows for common tasks like code analysis, refactoring, testing, and optimization.
  • Use Case: Automate the entire process of analyzing a codebase for security vulnerabilities, generating a prioritized list of issues, and then creating code patches to fix them.

Quick Start

Run a custom chain of three prompts to analyze, identify improvements, and generate an action plan 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 chain AI agent outputs for complex data transformations?

To chain AI agent outputs for complex data transformations, you can define custom prompt sequences or use predefined pipelines that pass data sequentially across multiple agents, enabling sophisticated multi-step workflow automation.

What are multi-agent workflows and when do I need them for software engineering?

Multi-agent workflows coordinate multiple AI agents to pass data sequentially for sequential processing. You need them for complex development tasks like codebase analysis, refactoring, testing, and optimization where a single prompt is insufficient.

Can I automate codebase security analysis and patch generation using a multi-step pipeline?

Yes, you can automate codebase security analysis and patch generation using predefined pipelines that sequentially analyze vulnerabilities, generate a prioritized issue list, and create code patches to fix them.

How do I create a custom prompt sequence for sequential data processing?

You create a custom prompt sequence for sequential data processing by defining and executing your own tailored chain of AI prompts, allowing agents to communicate and pass data sequentially through the workflow.

Does stream-chain support swarm coordination and memory management for agentic operations?

Yes, stream-chain supports swarm coordination and memory management, integrating these capabilities to facilitate advanced agentic operations and sophisticated multi-step automation workflows.

What is the best way to run an automated code analysis and action plan generation workflow?

The best way to run automated code analysis and action plan generation is using a custom chain of three sequential prompts to analyze the codebase, identify improvements, and generate an actionable plan.