What problem does it solve? Coordinating multi-step AI workflows manually requires copying output from one prompt into the next, which is slow and error-prone. This Skill automates sequential prompt chaining so each agent step automatically receives the full output of the previous step as context. ## Core Features & Use Cases - Custom Chains: Run any sequence of prompts with the run command, with configurable per-step timeouts, verbose logging, and debug mode. - Predefined Pipelines: Execute built-in workflows for analysis, refactoring, testing, and optimization with a single command. - Custom Pipeline Definitions: Declare reusable named pipelines in .Codex-flow/config.json with their own prompt sequences and timeouts. - Use Case: Run a security audit chain that scans for vulnerabilities, categorizes issues by severity, proposes fixes, and generates security test cases, with each step building on the prior output. ## Quick Start Ask the agent to run a stream chain that analyzes the codebase structure, identifies improvement areas, and generates an action plan.
