The body is task-focused without teaching known concepts, but it duplicates content: the Reference Numeral Index table appears in both Step 5 and the Step 7 output spec, and the Key Rules section restate the numeral-series rules already given in Constants and Step 3.

It provides concrete file paths, CN/US-EP templates, and table schemas, but the per-figure analysis steps ('Identify components: What labeled or visually distinct components are shown?') are open-ended guidance and the output templates rely on unfilled placeholders like [发明名称] and [Description].

Seven clearly numbered steps with an explicit Step 6 verification cross-reference, but for a batch operation over multiple figures there is no fix-and-revalidate feedback loop — missing items are merely flagged as [MISSING] without a retry path.

No bundle files exist and none are needed; the single SKILL.md is well-organized into Constants, Inputs, a seven-step Workflow, and Key Rules with no nested references, so navigation is straightforward.

Names the domain ('patent figures') and two concrete actions ('Process... figures and generate formal drawing descriptions'), but stops at two actions rather than listing multiple specific operations like numeral assignment or claim cross-referencing.

Explicitly answers what it does ('Process user-provided patent figures and generate formal drawing descriptions') and when to use it ('Use when user says...'), satisfying both halves with explicit triggers.

Covers natural user phrasing in both Chinese and English ('附图处理', 'figure description', '附图说明', 'drawings description', 'describe patent figures with reference numerals'), giving good coverage of terms a user would actually say.

The patent-figure niche with bilingual reference-numeral triggers is clearly distinct from general figure or document skills and unlikely to fire for the wrong skill.