Orchestrate multi-agent workflows with JSON chaining for data transformation.
npx skills add https://github.com/LGugui/cerebro-template --skill stream-chain-lgugui
Please help me install this Agent Skill. Skill: stream-chain Source: https://github.com/LGugui/cerebro-template/tree/main/.claude/skills/stream-chain Command: npx skills add https://github.com/LGugui/cerebro-template --skill stream-chain-lgugui
This Skill addresses the complexity of orchestrating multi-agent workflows by providing a streamlined approach to data transformation and sequential processing.
To run a custom chain, use the command: claude-flow stream-chain run "Analyze codebase structure" "Identify improvement areas" "Generate action plan"
High-intent search queries and answers about installing and using this skill.
You can orchestrate multi-agent workflows for sequential code analysis by running custom JSON chains that stream transformed data between agents. This allows you to execute prompt sequences like analyzing a codebase, identifying improvements, and generating an action plan in one streamlined process.
JSON chaining for data transformation is a mechanism that streams data sequentially between multiple agents in a workflow. It enables complex transformations by passing the structured output of one processing step directly as the input context for the next.
Yes, you can run custom prompt sequences for codebase refactoring and optimization by defining custom chains. This provides maximum flexibility to execute tailored multi-agent workflows for specific development tasks beyond predefined pipelines.
Yes, context management and data streaming capabilities are required to use predefined pipelines. These features are necessary to facilitate the sophisticated multi-agent coordination and sequential data flow that the pipelines rely on.
The best way to automate this workflow is using a predefined pipeline or a custom chain command that sequentially processes tasks. You can stream the codebase structure analysis directly into the improvement identification step, and then into the action plan generation.
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