workflow-orchestrator

You can automate multi-step development workflows using a file-system-based state machine that tracks progress across specification, planning, implementation, verification, and control phases. It supports automatic failure detection and rollback to re-run previous phases based on verification results.

Chaining AI agent prompts is best handled by a lightweight state machine that sequentially executes agentic prompts from initial requirements to final verification. This approach ensures consistent execution and reproducible, audit-ready task automation without heavy external orchestration tools.

Yes, this state machine works in CI/CD pipelines and local development environments. It satisfies requirements for minimal infrastructure dependency by using file-system-based state management and event hooks to orchestrate sequential execution of agentic prompts.

To initialize the automated development loop, run the runner script with an initial user request file. This triggers the state-driven orchestration to begin tracking your task sequentially through the five distinct development steps.

No, you do not need heavy external orchestration tools. This skill uses a lightweight state machine with event hooks to manage automated feedback loops, providing failure detection and rollback with minimal infrastructure dependency.

You should avoid file-based state management if your automated development workflows require heavy concurrent external state synchronization rather than sequential execution with reproducible, audit-ready task automation and minimal infrastructure dependency.