What problem does it solve? Coordinating multi-step AI workflows manually requires copying outputs between prompts and losing context along the way. This Skill automates sequential prompt chaining so each step's output flows directly into the next, enabling structured multi-agent pipelines for analysis, refactoring, testing, and optimization. ## Core Features & Use Cases - Custom Chains: Run arbitrary prompt sequences with claude-flow stream-chain run, where each step receives the previous step's output as context. - Predefined Pipelines: Execute built-in workflows for analysis, refactor, test, and optimize tasks with a single command. - Custom Pipeline Definitions: Define reusable named pipelines in .claude-flow/config.json with configurable timeouts. - Use Case: Run a security audit chain that scans for vulnerabilities, categorizes issues by severity, proposes fixes, and generates security test cases in one command. ## Quick Start Ask the agent to run a stream chain that analyzes the codebase structure, identifies improvement areas, and generates an action plan.
