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stream-chain

Execute multi-step AI agent workflows through custom prompt chains or predefined pipelines.

11|3|Updated Jun 30, 2025
Search Tags:#automation#workflow#multi-agent#data transformation#pipeline#chaining
One-click install
npx skills add https://github.com/aegntic/cldcde --skill stream-chain-aegntic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/aegntic/cldcde/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/aegntic/cldcde --skill stream-chain-aegntic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines complex, multi-step processes by allowing the output of one AI agent to be seamlessly passed as input to the next, enabling sophisticated sequential workflows and data transformations.

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.
  • Data Flow: Ensures that the complete output from each step is available to the subsequent step, facilitating complex coordination.
  • Use Case: Automate the entire process of code review by chaining prompts that analyze code structure, identify bugs, suggest improvements, and generate test cases.

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 AI workflows for complex data transformation?▼

Multi-agent workflow automation works by passing the output of one AI agent directly as input to the next, enabling sequential data transformation. This creates sophisticated pipelines without manual intervention.

What is prompt chaining and how does it help with code analysis?▼

Prompt chaining links sequential AI tasks together, enabling automated code analysis by feeding outputs through steps that identify bugs, suggest improvements, and generate test cases. It orchestrates complex development processes end-to-end.

Can I define custom pipelines for automated code review?▼

Yes, you can define custom prompt sequences to build tailored automated code review pipelines. You can also utilize predefined pipelines to analyze code structure and generate test cases without starting from scratch.

Do I need external dependencies to run multi-agent pipelines?▼

No external dependencies are required to run multi-agent pipelines. The Skill operates using included scripts and integrates with other Claude Flow features like swarm coordination and memory.

What's the best way to orchestrate sequential AI tasks for development processes?▼

The best way to orchestrate sequential AI tasks is using predefined pipelines for common development processes like refactoring and optimization. This ensures complete data flow between each step for complex coordination.

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