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JoeyJoziah
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stream-chain

Orchestrate multi-step prompt chains that pass output between steps.

Updated Aug 13, 2025
Search Tags:#workflow#testing#refactoring#multi-agent#streaming#orchestration#pipeline
One-click install
npx skills add https://github.com/JoeyJoziah/investment-analysis-platform --skill stream-chain-joeyjoziah
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/JoeyJoziah/investment-analysis-platform/tree/main/.claude/v3/%40claude-flow/mcp/.claude/skills/stream-chain
Command: npx skills add https://github.com/JoeyJoziah/investment-analysis-platform --skill stream-chain-joeyjoziah

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stream-Chain removes the friction of coordinating multi-step AI workflows by passing each step’s output into the next, so complex tasks can be completed sequentially without manual handoffs.

Core Features & Use Cases

  • Custom Chains: Build your own ordered prompt sequences for analysis, refinement, and transformation tasks.
  • Predefined Pipelines: Run ready-made workflows for common needs like code review, refactoring, testing, and optimization.
  • Use Case: A team can analyze a codebase, identify issues, propose fixes, generate tests, and validate results as one continuous workflow.

Quick Start

Ask the stream-chain skill to connect a sequence of prompts into one workflow for analysis, refinement, and validation.

Frequently Asked Questions about stream-chain

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

FAQPage Schema
How do I chain multiple AI prompts into a single automated workflow?▼

You can build custom prompt chains or run predefined pipelines for analysis, refactoring, testing, and optimization. The skill requires sequential context preservation and configurable timeouts to execute these workflows reliably.

Can I automate code review, refactoring, and testing in one continuous process?▼

This workflow orchestration ensures sequential context preservation across each step, allowing complex software engineering tasks to be completed sequentially without manual handoffs.

What is the best way to preserve context between sequential AI workflow steps?▼

This reliable step-by-step execution control maintains context continuity and supports configurable timeouts and verbose debug tracing for monitoring the workflow.

Does multi-agent workflow orchestration support custom timeout and debug tracing configurations?▼

These features ensure sequential context preservation is maintained throughout your custom chains and predefined pipelines for analysis and optimization tasks.

When should I use predefined pipelines instead of building custom prompt chains?▼

Both approaches support reliable step-by-step execution control, sequential context preservation, and configurable timeouts to complete complex tasks sequentially without manual handoffs.

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