What problem does it solve? Writing patent claims requires deciding which technical features are essential, how to generalize them without inventing new matter, and how to structure independent and dependent claims—errors here cause coverage gaps or invalid claims. This Skill guides stage two of a patent drafting workflow, turning an audited disclosure into a compliant claim set. ## Core Features & Use Cases - Essential Feature Determination: Applies a four-question test to decide which features belong in independent claims versus dependent claims or embodiments. - Evidence-Based Generalization: Generalizes features only when the disclosure provides at least two implementations, uses its own generic term, or supports a functional restatement—never fabricating ranges or expanding formulas. - Claim Architecture: Builds independent claims with proper preamble/characterizing structure, chained dependent claims with merged alternative implementations, and content-driven claim counts for both invention and utility model patents. - Use Case: After completing a disclosure audit with A/B/C/D feature grading, invoke this Skill to produce a full claim set where the independent claim covers all disclosed embodiments and dependent claims are ordered by fallback value. ## Quick Start Ask the AI to draft the patent claims for the current case based on the completed stage-one disclosure audit table.
