What predefined pipelines come with the skill?

The skill includes four core pipelines: 'analysis' for codebase audits, 'refactor' for code improvements, 'test' for test generation, and 'optimize' for performance tuning.

What is Stream-Chain for Claude Code?

Stream-Chain is a specialized skill that allows you to link multiple AI tasks together, passing the output of one step as the direct context for the next to handle complex, multi-stage development workflows.

How many steps can a single chain contain?

There is no hard limit on the number of prompts in a custom chain, though performance is optimized for 2-5 steps per minute depending on the complexity of each task.

Can I create my own reusable pipelines?

Yes, you can define custom named pipelines in your .claude-flow/config.json file with specific prompts, timeouts, and descriptions for repetitive team workflows.

How does context flow between agents in a chain?

Each subsequent step receives the 'Previous step output' as part of its prompt, ensuring the agent has full visibility into the work completed in the preceding stages of the pipeline.

Stream-Chain Multi-Agent Pipelines

Name: Stream-Chain Multi-Agent Pipelines
Author: zellycloud

byzellycloud

생산성 및 워크플로

Orchestrates sophisticated multi-step AI workflows by seamlessly chaining agent outputs into sequential processing pipelines.

소개

Stream-Chain is a specialized workflow skill for Claude Code that enables the execution of complex, multi-agent sequences where the output of each step serves as the foundation for the next. Whether using custom-defined chains for unique tasks or battle-tested predefined pipelines for analysis, refactoring, testing, and optimization, this skill ensures consistent context flow across long-running development tasks. It is particularly effective for high-level architectural changes, comprehensive security audits, and automated data transformations where a single-prompt approach is insufficient for high-quality results.

주요 기능

Configurable Custom Pipelines: Define reusable, named pipelines in local configuration files for team-wide consistency.
Custom Chain Execution: Create bespoke multi-prompt workflows on the fly tailored to specific project requirements.
0 GitHub stars
Sequential Context Flow: Automatically passes the full output of previous steps to subsequent agents for deep continuity.
Advanced Debugging & Monitoring: Utilize verbose logging and debug modes to track context transmission and execution timing.
Predefined Development Pipelines: Access optimized workflows for code analysis, refactoring, testing, and optimization.

사용 사례

Complex code migrations where requirements analysis must precede implementation, verification, and documentation.
Automated security auditing and remediation pipelines that categorize vulnerabilities before proposing and applying fixes.
End-to-end feature development including design, implementation, documentation, and unit test generation in a single command.

소개

주요 기능

Configurable Custom Pipelines: Define reusable, named pipelines in local configuration files for team-wide consistency.
Custom Chain Execution: Create bespoke multi-prompt workflows on the fly tailored to specific project requirements.
0 GitHub stars
Sequential Context Flow: Automatically passes the full output of previous steps to subsequent agents for deep continuity.
Advanced Debugging & Monitoring: Utilize verbose logging and debug modes to track context transmission and execution timing.
Predefined Development Pipelines: Access optimized workflows for code analysis, refactoring, testing, and optimization.

사용 사례

Complex code migrations where requirements analysis must precede implementation, verification, and documentation.
Automated security auditing and remediation pipelines that categorize vulnerabilities before proposing and applying fixes.
End-to-end feature development including design, implementation, documentation, and unit test generation in a single command.