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stream-chain

Stream outputs between successive steps in multi-agent workflows.

Updated Sep 16, 2025
Search Tags:#automation#workflow#multi-agent#streaming#data transformation#pipeline#chaining
One-click install
npx skills add https://github.com/ellisapotheosis/Project-Nyra --skill stream-chain-ellisapotheosis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/ellisapotheosis/Project-Nyra/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/ellisapotheosis/Project-Nyra --skill stream-chain-ellisapotheosis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-flow.

What problem does it solve?

This Skill automates complex, multi-step workflows by chaining AI agents, ensuring that the output of one agent seamlessly becomes the input for the next. This eliminates manual hand-offs and ensures consistent data flow, saving time on intricate tasks like code refactoring or security audits.

Core Features & Use Cases

  • Custom Chains: Define and execute custom sequences of prompts for maximum flexibility.
  • Predefined Pipelines: Utilize battle-tested workflows for common tasks like analysis, refactoring, testing, and optimization.
  • Sequential Data Flow: Each step receives the complete output from the previous, enabling sophisticated data transformations.
  • Use Case: Run a security audit workflow where one agent analyzes vulnerabilities, the next categorizes them, and a third proposes fixes, all in a single, automated sequence.

Quick Start

Run a custom chain to analyze, identify, and plan improvements for your codebase: claude-flow stream-chain run "Analyze codebase structure" "Identify improvement areas" "Generate action 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 with streaming data flow?▼

Multi-agent workflows chain AI agents sequentially, streaming each agent's output as the next agent's input. stream-chain coordinates this automation, enabling sophisticated data transformations across steps like code analysis, security audits, or refactoring pipelines without manual hand-offs.

Can I run predefined security audit or code analysis pipelines automatically?▼

Yes, stream-chain includes battle-tested predefined pipelines for security audits, code analysis, refactoring, and optimization. Each pipeline executes a coordinated sequence of agents, with output flowing seamlessly between steps to complete complex workflows end-to-end.

How do I define custom chains for specific workflow requirements?▼

Define custom chains by specifying sequential prompts; stream-chain executes each prompt in order, propagating complete context between steps. This enables tailored workflows for code refactoring, vulnerability categorization, improvement planning, or any multi-step analysis task.

What configuration options are available for workflow execution?▼

stream-chain supports configurable options including verbose logging, timeout settings, and debug mode. These control execution behavior and output detail, allowing fine-tuned control over how workflows run and what data is captured.

Does stream-chain work with custom prompts and existing pipelines together?▼

Yes, stream-chain supports both custom prompts for flexible chains and predefined pipelines for proven workflows. You can mix and match based on task requirements, using battle-tested sequences for standard tasks or custom chains for specialized needs.

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