Stream-Chain Workflow Orchestrator FAQs

Question 1

How does Stream-Chain handle context between workflow steps?

Accepted Answer

Each step in a chain automatically receives the complete output of the previous step as its primary context, allowing subsequent agents to build upon previous results without manual intervention.

Question 2

Does Stream-Chain support long-running tasks?

Accepted Answer

Yes, it includes configurable timeouts per step (defaulting to 30 seconds) and supports verbose/debug modes to monitor the progress of complex, multi-minute workflows.

Question 3

Can I define my own reusable pipelines?

Accepted Answer

Yes, you can define custom pipelines in your .claude-flow/config.json file, specifying unique names, descriptions, and a sequence of prompts optimized for your specific project needs.

Question 4

What are the standard pipelines included with Stream-Chain?

Accepted Answer

The skill includes four main pipelines: Analysis (structure mapping), Refactor (code improvement), Test (coverage and test generation), and Optimize (performance enhancement).

Question 5

How does it integrate with other Claude Flow features?

Accepted Answer

Stream-Chain integrates with Swarm Coordination for agent management, uses Memory Management for cross-session persistence, and contributes to Neural Pattern training for improved future performance.

Stream-Chain Workflow Orchestrator

주요 기능

사용 사례

Stream-Chain Workflow Orchestrator

주요 기능

사용 사례