stream-chain

Orchestrate multi-agent sequential pipelines for data transformation and code development.

Updated Jun 12, 2026

Search Tags:#automation #workflow #testing #refactoring #multi-agent #pipeline

Ready to run

npx skills add https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV --skill stream-chain-burhandev-enterprise

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV --skill stream-chain-burhandev-enterprise

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of managing complex, multi-step development tasks by automating the flow of context and output between sequential agent operations.

Core Features & Use Cases

Custom Chains: Execute flexible, multi-prompt sequences where each step builds upon the previous output.
Predefined Pipelines: Access battle-tested workflows for common tasks like code analysis, refactoring, testing, and optimization.
Use Case: Automate a full feature development lifecycle by chaining requirements analysis, database design, implementation, testing, and documentation generation into a single command.

Quick Start

Execute the stream-chain run command followed by your sequence of prompts to initiate a multi-step development workflow.

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-agent workflows for sequential code development tasks?▼

Automating multi-agent workflows involves chaining sequential processing steps where each agent receives the previous output's context. This ensures logical progression for complex data transformation and code development tasks without manual intervention between steps.

What is context propagation in multi-agent prompt chaining?▼

Context propagation in multi-agent prompt chaining automatically passes the output of one processing step as input to the next. This maintains logical progression across sequential software engineering workflows without requiring manual data handoffs between agents.

Can I use predefined pipelines for code refactoring and testing?▼

Yes, predefined pipelines support common software engineering tasks including code analysis, refactoring, testing, and optimization. These battle-tested workflows automate the sequential execution of these steps without requiring custom prompt configuration.

How do I execute a custom multi-prompt sequence for feature development?▼

To execute a custom multi-prompt sequence, initiate the stream-chain run command followed by your sequence of prompts. This builds flexible workflows where each step processes and expands upon the previous output automatically.

Does multi-agent pipeline execution support configurable timeouts and debugging?▼

Yes, multi-agent pipeline execution supports configurable timeouts and debugging capabilities. These features allow you to control execution limits and troubleshoot issues within complex sequential data transformation workflows.

What is the best way to chain requirements analysis and database design in a single workflow?▼

The best way to chain requirements analysis and database design is using custom prompt chaining to automate the full feature development lifecycle. This links sequential steps into a single command, propagating context from analysis through implementation.