stream-chain

Solid

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

AI & Automation 335 stars 29 forks Updated today

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Skill Content

# Stream-Chain Skill Execute sophisticated multi-step workflows where each agent's output flows into the next, enabling complex data transformations and sequential processing pipelines. ## Overview Stream-Chain provides two powerful modes for orchestrating multi-agent workflows: 1. **Custom Chains** (`run`): Execute custom prompt sequences with full control 2. **Predefined Pipelines** (`pipeline`): Use battle-tested workflows for common tasks Each step in a chain receives the complete output from the previous step, enabling sophisticated multi-agent coordination through streaming data flow. --- ## Quick Start ### Run a Custom Chain ```bash claude-flow stream-chain run \ "Analyze codebase structure" \ "Identify improvement areas" \ "Generate action plan" ``` ### Execute a Pipeline ```bash claude-flow stream-chain pipeline analysis ``` --- ## Custom Chains (`run`) Execute custom stream chains with your own prompts for maximum flexibility. ### Syntax ```bash claude-flow stream-chain run <prompt1> <prompt2> [...] [options] ``` **Requirements:** - Minimum 2 prompts required - Each prompt becomes a step in the chain - Output flows sequentially through all steps ### Options | Option | Description | Default | |--------|-------------|---------| | `--verbose` | Show detailed execution information | `false` | | `--timeout <seconds>` | Timeout per step | `30` | | `--debug` | Enable debug mode with full logging | `false` | ### How Context Flows Each step receive...

Details

Author
aiskillstore
Repository
aiskillstore/marketplace
Created
5 months ago
Last Updated
today
Language
Python
License
None

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