kano-agent-backlog-skill

You can manage a local-first backlog by using a Python-based CLI to create, update, and track work items across multiple products. This approach persists decisions and context in a file-based data store for durable traceability.

You create and track work items by running a Python script command in your CLI, specifying the item type such as Task or User Story, a title, the product scope, and the agent name for multi-agent coordination.

A file-based backlog workflow uses local files to store and persist work items, architecture decisions, and context. You need it when coordinating multiple agents across products requires durable traceability without relying on a remote database.

Yes, you need Python to run the local backlog management script. The workflow relies on Python-based scripts installed in editable mode via pip to execute CLI commands and manage the file-based data store.

The best way to scope work items for multi-agent coordination is using a lightweight file-based workflow with per-product scoping. This ensures agents track Epics, Features, and Tasks within clearly defined product boundaries.