wf-docker-feature-framing-method

Decompose ambiguous feature requests by applying a bounded framing pass that breaks down medium to large work into story-sized execution slices. This process delivers the current story slice ready for tactical TODO queues, complete with acceptance criteria and ownership.

Feature framing is a planning technique that scopes unbounded, feature-shaped requests into deterministic execution slices. It decides whether work proceeds directly to a TODO queue or requires a lightweight feature brief for further clarification.

You need a feature brief when direct-to-TODO execution would be premature for ambiguous requests. The framing pass evaluates the request boundaries and generates a lightweight brief if the story slice lacks sufficient clarity for deterministic execution.

The best way to turn vague requests into deterministic execution TODOs is generating a tactical handoff. This outputs a clearly scoped current story slice with rationale, acceptance criteria, and ownership to guide immediate development.

Feature framing works specifically for medium to large scale software development and product planning requests. It is designed to handle feature-shaped work that is too complex for immediate execution but needs bounded story slices.