Stream outputs between steps to coordinate multi-agent workflows.
npx skills add https://github.com/gaberger/hex --skill stream-chain-gaberger
Please help me install this Agent Skill. Skill: stream-chain Source: https://github.com/gaberger/hex/tree/main/.claude/skills/stream-chain Command: npx skills add https://github.com/gaberger/hex --skill stream-chain-gaberger
Stream-chain solves the challenge of coordinating complex multi-agent workflows by passing outputs between steps in a streaming fashion, enabling seamless orchestration and reduced latency.
Create a custom chain that analyzes requirements, designs a plan, and implements a prototype with outputs flowing to the next step.
High-intent search queries and answers about installing and using this skill.
You can coordinate multi-agent AI workflows by streaming the full output from one step directly into the next, enabling sequential context flow for advanced orchestration in automation pipelines.
The best way to build an AI coding pipeline is using custom run chains that sequentially pass complete step outputs downstream, allowing each agent to inform the next phase of development.
Yes, you can configure multi-agent automation pipelines with extensible options including timeouts, verbosity levels, and debugging settings to monitor and control your workflow execution.
Yes, this orchestration approach supports two flexible modes: custom chains for dynamic runs and predefined pipelines for established, repeatable multi-agent automation sequences.
You design a data-processing pipeline by defining a sequence of agents where the complete output of one step is automatically streamed forward to drive the logic of the next step.
Streaming outputs for multi-agent workflow orchestration reduces latency by passing data between steps immediately, enabling seamless coordination without waiting for entire batch processes to finish.
novatech2210-cmdOrchestrate streaming multi-agent workflows for sequential data transformations.
LeoTechProOrchestrate specialized AI roles sequentially with acceptance criteria via codex exec.
DNYoussefChain sequential agent outputs into multi-step workflow pipelines.
PostalocityOrchestrate and validate data pipeline stages with the StrRay framework.
