Conciseness

The body is efficient and domain-specific (e.g., diffusion models lacking 'intrinsic 3D coordinate awareness'), but the 'Core Capabilities' bullets ('Dolly vs. Zoom Decoupling', 'Rigid Parallax Anchoring', 'Subject Bounding-Box Locking') substantially duplicate what the 7-slot specification and the reference file already state. Not 5 because that section could be trimmed; not 3 because there is no generic padding or explanation of concepts Claude already knows.

Actionability

Copy-paste-ready CLI commands are provided for all common cases: intent compilation in markdown and JSON ('python3 scripts/motion_contract_compiler.py --intent "..." --format json') plus a built-in smoke fixture ('--sample'), and the manual path includes a fully worked input/output example. The referenced script exists and is dependency-free, making the guidance fully executable.

Workflow Clarity

Two workflows (CLI compile and manual agent compilation) are clearly presented, with the CLI path including a verification command ('Built-in smoke fixture verification'). Not 5 because the manual workflow provides only a single worked example with no explicit step sequence or output-validation checkpoint for compiling an arbitrary shot.

Progressive Disclosure

The SKILL.md body is a concise overview that clearly signals one-level-deep references: 'Detailed cinematography principles, parallax velocity formulation, and diffusion engine mapping are documented in: [Camera Mechanics Reference](references/camera-mechanics.md)' and the scripts/ path, both of which exist as real bundle files with no nested references. Content is appropriately split between the overview, the reference, and the script.

Specificity

The description names the domain ('creating camera movement, cinematic angles, or motion prompts for AI video generators') and one concrete action ('Compiles narrative prose into a strict 7-slot camera motion contract'), matching the anchor for 1-2 concrete actions without comprehensive coverage. It falls short of 4 because it does not enumerate several specific operations such as preventing background warping or decoupling dolly from zoom.

Completeness

It explicitly answers 'when' with a 'Use when creating camera movement, cinematic angles, or motion prompts...' clause containing concrete triggers, and 'what' with 'Compiles narrative prose into a strict 7-slot camera motion contract.' Both are present and explicit, matching the top anchor; score 4 would require the 'when' to be less specific than it is.

Trigger Term Quality

Natural phrases like 'camera movement', 'cinematic angles', 'motion prompts' plus concrete product names 'Runway Gen-3, Kling, and Luma' give good keyword coverage. It is not 5 because common variations such as 'video prompt', 'shot', 'camera pan/zoom', or other tools like 'Sora' are absent.

Distinctiveness Conflict Risk

The niche (camera motion prompting for AI video generators, with named tools) is clearly distinct with trigger terms unlikely to fire for unrelated skills. Minimal conflict risk with any other skill category.