stream-chain

Coordinate multi-agent sequences for data processing and code analysis.

1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/Krishpotanwar/my-personal-vibe-coding-setup --skill stream-chain-krishpotanwar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/Krishpotanwar/my-personal-vibe-coding-setup/tree/main/.agents/skills/stream-chain
Command: npx skills add https://github.com/Krishpotanwar/my-personal-vibe-coding-setup --skill stream-chain-krishpotanwar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Stream-Chain streamlines the creation of multi-step workflows where each agent's output flows into the next, enabling efficient data transformation and sequential processing.

Core Features & Use Cases

  • Multi-Agent Workflow Coordination: Orchestrate diverse agent types such as Codex, Claude, Gemini, Copilot, and Qwen in a single chain.
  • Custom Chain Execution: Allow precise control over prompt sequences for tailored workflows.
  • Predefined Pipelines: Use ready-made workflows for analysis, refactoring, testing, and optimization.
  • Use Case: Automate a comprehensive code review process by chaining code analysis, security checks, test generation, and documentation updates.

Quick Start

Describe your goal to analyze a codebase, and Stream-Chain will execute a sequential multi-agent process to achieve it.

Frequently Asked Questions about stream-chain

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

FAQPage Schema
How do I orchestrate a multi-agent workflow for sequential data transformation?

Multi-agent workflow orchestration connects diverse AI agents like Codex, Claude, and Gemini in a single chain, passing each output directly into the next step for sequential data transformation and task automation.

What is the best way to automate a comprehensive code review process using multiple agents?

Automating a comprehensive code review process involves chaining predefined pipelines for code analysis, security checks, test generation, and documentation updates to execute sequential multi-agent tasks automatically.

Can I use custom prompts to control multi-agent pipelines for specific tasks?

Custom chain execution allows precise control over prompt sequences within multi-agent pipelines, enabling tailored workflows for specific data processing and code analysis requirements.

Does multi-agent orchestration work with diverse AI tools like Copilot and Qwen?

Multi-agent orchestration supports seamless coordination across diverse AI tools including Codex, Claude, Gemini, Copilot, and Qwen within a single automated workflow.

Are predefined pipelines available for code refactoring and optimization?

Predefined pipelines provide ready-made automated workflows for code analysis, refactoring, testing, and optimization to improve productivity and consistency without manual configuration.