Does it integrate with other Claude Flow features?

Yes, it integrates with Swarm Coordination for multi-agent topology, Memory Management for persistent context, and Neural Pattern training for adaptive performance.

How does it handle long-running or complex tasks?

The skill supports configurable timeouts per step (up to 120+ seconds) and handles large context sizes up to 100K tokens per step for deep codebase analysis.

Can I define my own reusable pipelines?

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

What predefined pipelines are available by default?

Stream-Chain includes four battle-tested pipelines: Analysis (codebase mapping), Refactor (identifying and fixing debt), Test (coverage and generation), and Optimize (performance tuning).

How does context flow work in Stream-Chain?

Each step in a chain automatically receives the complete output of the previous step as context, allowing the AI to build upon its own previous work for complex, multi-stage tasks.

Stream-Chain Workflow Orchestrator

Name: Stream-Chain Workflow Orchestrator
Author: whrit

bywhrit

0•

Productivity & Workflow

Orchestrates sophisticated multi-agent pipelines by streaming data through sequential processing steps and complex transformations.

Stream-Chain is a powerful workflow automation skill for Claude Code designed to handle multi-step development tasks where context must flow seamlessly from one agent to another. By enabling sequential chaining, it allows developers to build complex pipelines for code refactoring, security audits, and data transformations. The skill offers both flexible custom chains for ad-hoc logic and optimized, predefined pipelines for common development cycles like performance optimization and test generation, ensuring high-quality outputs through iterative refinement and persistent memory integration.

Key Features

01Sequential context flowing between multi-step agent processes

02Configurable timeouts and verbose debugging for complex task management

03Persistent memory integration for cross-session context retention

04Customizable prompt chaining for ad-hoc workflow automation

050 GitHub stars

06Predefined pipelines for analysis, refactoring, testing, and optimization

Use Cases

01Automating full-stack feature development from requirements to unit testing

02Performing deep security audits with automated vulnerability identification and remediation

03Executing systematic codebase migrations and architectural refactoring

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add whrit/agent-flow stream-chain

For use in Claude.ai and ChatGPT

Download Skill