Stream-Chain Workflow Orchestrator FAQs

Question 1

How does context flow between different agents?

Accepted Answer

Stream-Chain automatically passes the output of the previous step into the context window of the next agent, ensuring that each step in the pipeline has the full history of the work performed so far.

Question 2

What is a Stream-Chain in Claude Code?

Accepted Answer

It is a method of linking multiple AI prompts together so that the output of one step automatically becomes the input for the next, allowing for complex, multi-stage task execution without manual intervention.

Question 3

What predefined pipelines are included?

Accepted Answer

The skill comes with four battle-tested pipelines: Analysis (codebase mapping), Refactor (quality improvement), Test (coverage and generation), and Optimize (performance enhancement).

Question 4

What happens if a step in the chain takes too long?

Accepted Answer

The skill supports a --timeout option (defaulting to 30 seconds) that can be adjusted per execution to accommodate complex tasks that require more processing time.

Question 5

Can I create my own custom pipelines?

Accepted Answer

Yes, you can define reusable custom pipelines in your .claude-flow/config.json file, allowing you to standardize complex workflows like documentation generation or security audits across your team.

Stream-Chain Workflow Orchestrator

Key Features

Use Cases

Stream-Chain Workflow Orchestrator

Key Features

Use Cases