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shot-size-and-angle-language

Use for requests that need precise shot-size vocabulary, angle selection, narrative framing logic, and coverage phrasing for storyboards and prompts.

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a tight, well-structured reference that adds only what Claude would not already know and gives concrete selection guidance. It is an exemplar of a lean single-purpose skill.

DimensionReasoningScore

Conciseness

Lean abbreviation tables and terse mapping rules ('ECU/CU for micro-expression...') assume Claude's competence with no redundant explanation; every token earns its place.

3 / 3

Actionability

Gives concrete, specific mappings from shot-size and angle to narrative meaning plus explicit coverage rules ('Change shot size to change information priority'), which is actionable instruction guidance without needing code.

3 / 3

Workflow Clarity

A single-purpose reference skill with an unambiguous usage; per the simple-skills note, no multi-step validation sequence is required, so workflow clarity earns a full score.

3 / 3

Progressive Disclosure

Under 50 lines with no need for external references, yet well-organized into clearly labeled sections (Standard Vocabulary, Selection Rules, Angle Rules, Coverage Rules), satisfying the simple-skills exception.

3 / 3

Total

12

/

12

Passed

Description

67%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and occupies a clear niche, but its trigger guidance is abstract and lacks common natural-language variations a user would actually say. Strengthening the 'when' clause with concrete user-facing situations would lift completeness and trigger-term quality.

Suggestions

Add concrete triggering situations to the 'when' clause, e.g. 'Use when the user asks for a shot list, storyboards, shot breakdowns, or coverage for a scene.'

Expand natural trigger keywords to include common variations users say: 'framing', 'camera angle', 'shot list', 'shot breakdown', 'coverage'.

Lead with a clear declarative 'what' statement before the trigger clause so the capability is stated independently of the 'when'.

DimensionReasoningScore

Specificity

Names the domain plus four distinct concrete capabilities ('shot-size vocabulary, angle selection, narrative framing logic, and coverage phrasing'), matching the multiple-specific-actions anchor.

3 / 3

Completeness

It has an explicit 'Use for requests that need...' trigger and implies the 'what' through the capability list, but the when-trigger is abstract ('requests that need precise...') rather than concrete user-facing situations, leaving 'what' implied within the trigger.

2 / 3

Trigger Term Quality

Includes relevant natural terms ('shot-size', 'angle', 'storyboards', 'prompts') but omits common variations users would say like 'framing', 'camera angle', 'shot list', or 'coverage'.

2 / 3

Distinctiveness Conflict Risk

Targets a clear niche (cinematography/storyboarding framing vocabulary) with distinct triggers, unlikely to conflict with unrelated skills.

3 / 3

Total

10

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
nolanx-ai/nolanx.ai
Reviewed

Table of Contents

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