skills.rest
summarybotng
summarybotngOFFICIAL
Explore all skills by this author →
GitHub

stream-chain

Execute sequential multi-agent workflows through custom prompt chaining and predefined pipelines.

2|2|Updated Aug 23, 2025
Search Tags:#automation#workflow#code analysis#multi-agent#pipeline#chaining
One-click install
npx skills add https://github.com/summarybotng/summarybot-ng --skill stream-chain-summarybotng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/summarybotng/summarybot-ng/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/summarybotng/summarybot-ng --skill stream-chain-summarybotng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates complex, multi-step processes by chaining AI agents together, allowing their outputs to sequentially feed into one another for sophisticated data transformation and workflow execution.

Core Features & Use Cases

  • Custom Chains: Define and execute your own sequences of prompts for bespoke workflows.
  • Predefined Pipelines: Utilize battle-tested workflows for common tasks like analysis, refactoring, testing, and optimization.
  • Use Case: Automate the entire process of analyzing a codebase, identifying areas for improvement, generating refactored code, and creating corresponding tests, all within a single, orchestrated workflow.

Quick Start

Run a custom chain of three prompts: "Analyze codebase structure", "Identify improvement areas", and "Generate action plan".

Frequently Asked Questions about stream-chain

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

FAQPage Schema
How do I automate multi-step code analysis and refactoring workflows?▼

You can automate multi-step code analysis and refactoring workflows by defining custom prompt chains that sequentially feed outputs into predefined pipelines for orchestrated agent execution.

What is multi-agent prompt chaining for software engineering?▼

Multi-agent prompt chaining is the sequential execution of AI agents where outputs feed into one another, facilitating complex data transformations and automated development tasks within a single orchestrated workflow.

How do I build a custom pipeline to analyze a codebase and generate tests?▼

To build a custom pipeline, define a sequence of prompts like analyzing codebase structure, identifying improvement areas, and generating corresponding tests to automate the entire refactoring process.

Can I use predefined pipelines for common refactoring and optimization tasks?▼

Yes, you can use predefined pipelines for common refactoring and optimization tasks, utilizing battle-tested workflows to automate analysis and code generation without building custom chains.

Does multi-agent workflow chaining work with swarm and memory features?▼

Yes, multi-agent workflow chaining integrates with swarm and memory features, allowing sophisticated agent coordination and complex data transformations across sequential pipeline stages.

What are the limitations of chaining AI agents for automated development tasks?▼

Chaining AI agents relies on sequential prompt execution, meaning complex data transformations require carefully predefined pipelines to avoid bottlenecks in automated development task coordination.

Related Skills

Explore More Software Engineering Skills→
Geralt1983Geralt1983
1

stream-chain

Execute multi-agent pipelines through sequential prompt chaining and predefined workflows.

Community
Advanced
RheasilviaRheasilvia

test-driven-development

Enforce the Red-Green-Refactor cycle with automated tests via terminal.

Community
Advanced
ExpertVagabondExpertVagabond

swarm-advanced

Orchestrate distributed workflows using mesh, hierarchical, star, and ring swarm topologies.

Community
Advanced
DNYoussefDNYoussef
4

stream-chain

Chain sequential agent outputs into multi-step workflow pipelines.

Community
Intermediate