The Process and Instructions are efficient, but the 'Domain Context' section explains framework background and attribution quotes ('Best ideas often come from engineers', named authors) that partly restate concepts Claude already knows, so it could be tightened.

Concrete guidance exists (3-7 opportunities, the Opportunity Score formula 'Importance × (1 − Satisfaction)', risk categories), but no worked example or filled-in template for opportunities, experiments, or the tree output, leaving the guidance incomplete.

The Process lays out a clear 1-6 sequence and the principles include an explicit feedback loop ('Discovery is not linear. Loop back if experiments fail. Kill solutions that don't validate.').

A self-contained, well-organized single file with clearly labeled sections (Domain Context, Input Requirements, Process, Further Reading) and one-level-deep external links only; no bundle files exist, so well-organized sections suffice.

Lists multiple concrete actions: 'Build an Opportunity Solution Tree', 'structure product discovery', and 'map a desired outcome to opportunities, solutions, and experiments', matching the anchor for several specific concrete actions.

Explicitly answers what ('Build an Opportunity Solution Tree... map a desired outcome to opportunities, solutions, and experiments') and when ('Use when structuring discovery work, mapping opportunities to solutions, or deciding what to build next').

Natural trigger terms a product practitioner would say are present: 'structur discovery work', 'mapping opportunities to solutions', 'deciding what to build next', plus the named concept 'Opportunity Solution Tree (OST)'.

A clear, narrow niche (product discovery via OST) with distinct triggers unlikely to overlap with unrelated skills.