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threejs-tresjs

3D HUD rendering with Three.js and TresJS for JARVIS AI Assistant

64

Quality

55%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/threejs-tresjs/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

32%

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

This description identifies a specific technical domain and frameworks but fails to explain concrete capabilities or when the skill should be used. The lack of a 'Use when...' clause significantly limits Claude's ability to select this skill appropriately. The description reads more like a title than actionable guidance.

Suggestions

Add a 'Use when...' clause with explicit triggers like 'Use when building JARVIS-style interfaces, creating holographic HUD elements, or working with TresJS/Three.js for sci-fi UI components'

List specific concrete actions such as 'Creates animated holographic displays, renders 3D dashboard panels, implements sci-fi UI effects'

Include natural user terms like 'holographic interface', 'Iron Man UI', 'futuristic dashboard', '3D heads-up display' that users might actually say

DimensionReasoningScore

Specificity

Names the domain (3D HUD rendering) and specific technologies (Three.js, TresJS, JARVIS AI Assistant), but doesn't list concrete actions like 'create holographic displays', 'animate UI elements', or 'render 3D interfaces'.

2 / 3

Completeness

Only addresses 'what' at a high level (3D HUD rendering) but completely lacks any 'Use when...' clause or explicit trigger guidance for when Claude should select this skill.

1 / 3

Trigger Term Quality

Includes some relevant technical terms (Three.js, TresJS, 3D, HUD) that users might mention, but missing common variations like 'holographic', 'heads-up display', '3D interface', 'WebGL', or 'Vue 3D'.

2 / 3

Distinctiveness Conflict Risk

The combination of 'JARVIS AI Assistant' and specific frameworks (TresJS) provides some distinctiveness, but '3D rendering' and 'Three.js' could overlap with general 3D graphics skills.

2 / 3

Total

7

/

12

Passed

Implementation

77%

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

This is a comprehensive, highly actionable skill with excellent executable code examples and clear TDD workflows. The main weaknesses are verbosity (some patterns repeated, explanatory text that could be trimmed) and the monolithic structure that could benefit from splitting detailed reference content into separate files. Security and performance considerations are well-covered with concrete mitigations.

Suggestions

Move detailed performance patterns (sections 6.1-6.7) to references/performance-patterns.md and keep only a summary with links in the main file

Consolidate the security content - the vulnerability tables, OWASP coverage, and security anti-patterns are spread across multiple sections and could be unified in references/security-examples.md

Remove redundant explanations - the safe color parsing pattern appears in sections 4.2, 7.3, and 8.1 with similar examples

DimensionReasoningScore

Conciseness

The skill contains useful information but is verbose in places, with some redundancy (e.g., security patterns repeated multiple times, performance patterns explained with both good/bad examples that could be condensed). The version tables and OWASP coverage add bulk that could be trimmed.

2 / 3

Actionability

Excellent executable code examples throughout - Vue components, TypeScript utilities, test files, and configuration snippets are all copy-paste ready. Concrete patterns for color validation, resource disposal, instancing, and testing are fully implementable.

3 / 3

Workflow Clarity

The TDD workflow in section 5 is exceptionally clear with explicit steps (write failing test → implement minimum → refactor → verify). Validation checkpoints are explicit, and the pre-deployment checklist provides a clear verification gate before shipping.

3 / 3

Progressive Disclosure

References to external files (references/advanced-patterns.md, references/security-examples.md) are mentioned but the main file is quite long (~500 lines). Some content like the detailed performance patterns and security tables could be split into referenced files to improve the overview nature of SKILL.md.

2 / 3

Total

10

/

12

Passed

Validation

68%

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

Validation11 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (791 lines); consider splitting into references/ and linking

Warning

description_trigger_hint

Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...')

Warning

metadata_version

'metadata' field is not a dictionary

Warning

license_field

'license' field is missing

Warning

frontmatter_unknown_keys

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

Warning

Total

11

/

16

Passed

Repository
martinholovsky/claude-skills-generator
Reviewed

Table of Contents

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