What is Stream-Chain for Claude Code?

Stream-Chain is a skill that allows Claude to execute multi-step workflows where the output of one task serves as the input for the next, enabling complex automated processes.

Can I create my own custom pipelines?

Yes, you can define reusable pipelines in your .claude-flow/config.json file by specifying a name, description, and a series of custom prompts.

What predefined pipelines are available?

The skill comes with built-in pipelines for Codebase Analysis, Refactoring, Unit Testing, and Performance Optimization.

How does context flow between steps?

Each subsequent step in a chain automatically receives the previous output as part of its prompt context, ensuring the agent understands the work completed in previous stages.

Is there a limit to the number of steps in a chain?

While there is no hard software limit, practical execution typically ranges from 2-10 steps to stay within context window and performance optimizations.

Stream-Chain Workflow Orchestrator

Name: Stream-Chain Workflow Orchestrator
Author: while-basic

bywhile-basic

0•

Productividad y Flujo de Trabajo

Orchestrate multi-step AI workflows by chaining agent outputs for complex data transformations and sequential processing.

Stream-Chain is a powerful workflow automation skill for Claude Code that enables the execution of sophisticated multi-agent pipelines. By ensuring the output of one step flows seamlessly into the next, it allows users to build complex sequences like automated security audits, code refactoring cycles, and comprehensive test generation. Whether using predefined, battle-tested pipelines for common development tasks or creating custom logic via configuration files, Stream-Chain transforms Claude from a single-task assistant into a coordinated sequential processing engine capable of handling high-context engineering workflows.

Características Principales

01Sequential Multi-Agent Chaining

02Predefined Analysis and Refactor Pipelines

03Customizable Workflow Definitions via JSON

04Context-Aware Data Flow between Steps

05Detailed Execution Logging and Debugging

060 GitHub stars

Casos de Uso

01Automated end-to-end feature development from requirements to testing

02Multi-stage security audits and vulnerability remediation

03Complex data transformation and normalization pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add while-basic/c-flow stream-chain

For use in Claude.ai and ChatGPT

Download Skill