Stream each step's output into the next for multi-agent workflows.
npx skills add https://github.com/jcolano/claude-flow --skill stream-chain-jcolano
Please help me install this Agent Skill. Skill: stream-chain Source: https://github.com/jcolano/claude-flow/tree/main/.claude/skills/stream-chain Command: npx skills add https://github.com/jcolano/claude-flow --skill stream-chain-jcolano
Executing complex, multi-step AI tasks often requires manual intervention to pass outputs from one agent to the next. This Skill automates that process, creating seamless pipelines for data transformation and sequential processing.
Run a custom chain to write a user authentication function, add input validation, and then create unit tests for it.
claude-flow stream-chain run "Write a user authentication function" "Add input validation and error handling" "Create unit tests with edge cases"
High-intent search queries and answers about installing and using this skill.
Chain AI outputs by defining custom sequences where each step's output feeds into the next, automating multi-agent workflows for data transformation and sequential processing without manual intervention between steps.
Yes, stream-chain orchestrates end-to-end workflows by piping each agent's full output into the subsequent step, enabling automated pipelines for code analysis, security audits, and testing sequences with context preservation throughout.
Custom chains let you define arbitrary prompt sequences tailored to your task, while predefined pipelines offer battle-tested workflows for common operations like analysis, refactoring, testing, and optimization with built-in best practices.
Stream-chain preserves the full output history sequentially through all steps, ensuring each downstream agent receives complete context from prior steps rather than isolated inputs, maintaining coherence across the entire workflow.
Yes, stream-chain exposes configurable options including --verbose for detailed logging, --timeout for execution limits, and --debug for troubleshooting, giving you fine-grained control over multi-agent workflow execution.
Use stream-chain when executing complex, multi-step AI tasks that require passing outputs between agents; automation eliminates manual intervention, reduces errors, and enables consistent, repeatable pipelines for data transformation and sequential processing.
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