stream-chain
About
Stream-Chain enables multi-agent workflows by chaining JSON streams between Claude instances, allowing sequential data transformation and processing. It supports both custom prompt sequences and predefined pipelines for complex orchestration tasks. Use this skill when building multi-step AI workflows where each agent's output needs to flow into the next step.
Quick Install
Claude Code
Recommendednpx skills add mattnigh/skills_collection -a claude-code/plugin add https://github.com/mattnigh/skills_collectiongit clone https://github.com/mattnigh/skills_collection.git ~/.claude/skills/stream-chainCopy and paste this command in Claude Code to install this skill
GitHub Repository
Related Skills
when-creating-slash-commands-use-slash-command-encoder
OtherThis Claude Skill helps developers create ergonomic slash commands (/command) for micro-skills with auto-discovery and parameter validation. It generates command handlers, validation logic, and documentation for fast CLI access to workflows. Use it when building command-line interfaces that need intelligent routing and command chaining capabilities.
when-orchestrating-swarm-use-swarm-orchestration
OtherThis skill orchestrates complex multi-agent workflows by decomposing tasks, distributing them for parallel execution, and synthesizing the results. Use it when you need to coordinate specialized agents for advanced, distributed problem-solving. It provides structured outputs including execution trees and performance metrics.
stream-chain
OtherStream-Chain enables multi-agent workflows by connecting Claude instances in sequential pipelines where each agent's output streams into the next. It supports both custom prompt chains and predefined pipelines for data transformation and complex processing tasks. Use this skill when you need to orchestrate sophisticated multi-step workflows with streaming data flow between specialized agents.
when-chaining-agent-pipelines-use-stream-chain
OtherThis skill enables chaining agent outputs as inputs in sequential or parallel pipelines for data flow orchestration. It's used when you need to coordinate multi-step workflows between agents with streaming data flows. Key features include pipeline configuration, execution pattern support, and performance metrics.
