stream-chain

Coordinate multi-agent workflows with streaming data flow.

Updated Sep 20, 2024

Search Tags:#automation #development #multi-agent #streaming #orchestration #pipelines #workflows

Ready to run

npx skills add https://github.com/nahtonaj/dotfiles --skill stream-chain-nahtonaj

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/nahtonaj/dotfiles/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/nahtonaj/dotfiles --skill stream-chain-nahtonaj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate multi-agent workflows with streaming data flow.

Core Features & Use Cases

Custom Chains (run): Build flexible, prompt-driven sequences where each step uses the previous output.
Predefined Pipelines (pipeline): Use battle-tested workflows for common tasks like analysis, refactor, test, and optimize.
End-to-end context propagation: Each step receives full history to inform the next action.
Memory and coordination: Optional memory and swarm coordination integration to persist context and coordinate agents.

Quick Start

Run a custom chain by calling claude-flow stream-chain run with prompts, or execute a predefined pipeline with claude-flow stream-chain pipeline <type>.

Frequently Asked Questions about stream-chain

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I coordinate multi-agent workflows with streaming data flow for software development?▼

Multi-agent workflow orchestration uses custom chains and predefined pipelines to coordinate streaming data flow across agents. It manages codebase analysis, refactoring, and testing while propagating sequential context throughout the execution.

Can I build custom chains for codebase analysis and refactoring?▼

Yes, you can build custom chains to create flexible, prompt-driven sequences for codebase analysis and refactoring. Each step in the chain uses the previous output and receives the full history to inform the next action.

What is the best way to automate multi-agent pipelines for software testing?▼

Predefined pipelines offer a streamlined way to automate multi-agent software testing. They provide battle-tested workflows for common tasks like analysis, refactor, test, and optimize across the software development life cycle.

Does multi-agent workflow orchestration support configurable options like timeouts and debugging?▼

Yes, multi-agent workflow orchestration supports configurable options including verbosity, timeouts, and debugging. It also features memory-aware execution and optional memory integration to persist context across agents.

When should I use predefined pipelines instead of custom chains for refactoring?▼

Use predefined pipelines for refactoring when you need battle-tested workflows with standardized execution. Use custom chains when you require flexible, prompt-driven sequences with specific sequential context propagation.