stream-chain

Stream each step's output into the next in multi-agent workflows via claude-flow CLI.

1|Updated Nov 24, 2025
One-click install
npx skills add https://github.com/Human-Frontier-Labs-Inc/parencylegal --skill stream-chain-human-frontier-labs-inc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/Human-Frontier-Labs-Inc/parencylegal/tree/main/corn-docs/.claude/skills/stream-chain
Command: npx skills add https://github.com/Human-Frontier-Labs-Inc/parencylegal --skill stream-chain-human-frontier-labs-inc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stream-Chain addresses the need to coordinate complex, multi-step workflows by streaming each agent's output into the next, enabling cohesive, sequential processing.

Core Features & Use Cases

  • Custom Chains (run): Execute user-defined prompt sequences with full control, where each step's input builds on the previous output.
  • Predefined Pipelines (pipeline): Use battle-tested workflows for common tasks to accelerate development.
  • Multi-Agent Orchestration: Coordinate several agents and streaming data across steps to produce coherent results.
  • Memory & Context Flow: Preserve context across steps for iterative refinement and reproducibility.

Quick Start

Use the claude-flow tool to start a custom chain or a predefined pipeline: claude-flow stream-chain run "Analyze codebase structure" "Identify improvement areas" "Generate action plan" claude-flow stream-chain pipeline analysis

Frequently Asked Questions about stream-chain

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

FAQPage Schema
How do I orchestrate multi-agent workflows to stream output between sequential steps?

Multi-agent orchestration streams each agent's output directly into the next step's input, enabling cohesive sequential processing. You can execute custom chains or predefined pipelines using the claude-flow CLI to coordinate agents and preserve context across steps.

What is the best way to run a predefined pipeline for codebase analysis?

Predefined pipelines are battle-tested workflows for common tasks like codebase analysis. You can run them via the claude-flow CLI using the pipeline command, which applies a standardized sequence of prompts to accelerate development and produce coherent results.

Can I execute custom prompt sequences for iterative software development tasks?

Custom chains execute user-defined prompt sequences with full control over each step. Each step's input builds on the previous output, allowing you to perform iterative refinement and reproducible software development tasks by streaming context across steps.

Does multi-agent streaming support timeout controls and verbose logging?

Multi-agent streaming supports optional flags like --verbose and --timeout through the claude-flow CLI. These flags allow you to monitor pipeline execution details and manage execution limits to prevent hanging during complex orchestration.

When should I use predefined pipelines instead of custom chains for data processing?

Use predefined pipelines for common, standardized data processing tasks to leverage battle-tested workflows and accelerate development. Choose custom chains when you need full control over user-defined prompt sequences and iterative refinement for specialized processing requirements.

How does context flow and memory preservation work across sequential agent steps?

Context flow preserves memory across steps by streaming each agent's output into the next. This mechanism ensures iterative refinement and reproducibility, allowing downstream agents to build directly on the context generated by previous steps.