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3d-games

3D game development principles. Rendering, shaders, physics, cameras.

47

Quality

50%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/game-development/3d-games/SKILL.md

The canonical home for this skill is 3d-games in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

40%Weight 40%Scale 1-5

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 tidy topical reference of 3D-game concepts, but it largely restates knowledge Claude already has and offers little actionable or sequenced guidance — no code, specific values, or workflow. It is well-structured as a standalone file, yet functions more as a glossary than an instructive skill.

Suggestions

Replace generic glossary tables with actionable specifics: engine APIs or code snippets (e.g., a shader skeleton, collider-setup commands, LOD distance thresholds with actual values).

Add at least one concrete workflow with sequenced steps and a validation checkpoint (e.g., profile -> identify draw-call hotspot -> apply batching -> re-profile), and replace the boilerplate 'When to Use' line with real invocation guidance.

Cut textbook definitions Claude already knows (what frustum culling or a vertex shader is) and keep only non-obvious heuristics, anti-patterns, and project-specific conventions to improve token efficiency.

DimensionReasoningScore

Conciseness

The tables are mostly efficient, but much of the body re-explains concepts Claude already knows (frustum/occlusion culling, LOD, vertex/fragment/compute shaders, light types, collider shapes) at a gloss level, which the rubric penalizes as unnecessary explanation.

3 / 5

Actionability

The content gives principles and category tables but no concrete executable guidance — no engine APIs, code, commands, or specific values (LOD rows say 'Near/Medium/Far'; 'Smooth following (lerp)' gives no factor), so it describes rather than instructs.

2 / 5

Workflow Clarity

There is no multi-step process or sequence; the closing 'When to Use' is generic boilerplate ('applicable to execute the workflow or actions described in the overview') that names no actual workflow, leaving steps poorly defined.

2 / 5

Progressive Disclosure

As a single-file skill with no bundle files, the body is well-organized into seven clearly headed sections with consistent tables; it earns good structure but not 5 because the dense glossary-style tables could be trimmed or externalized.

4 / 5

Total

11

/

20

Passed

Description

61%Weight 40%Scale 1-5

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 clearly names its 3D-games domain and lists relevant sub-areas with natural trigger terms, but it is written as a topic label rather than a capability statement and omits any explicit 'use when' guidance. It is distinct but not as actionable or complete as the strongest examples.

Suggestions

Add an explicit 'Use when...' clause stating when to invoke the skill (e.g., 'Use when building or debugging 3D games, or when the user mentions rendering, shaders, physics, or cameras in a game context').

Reframe the description as concrete capabilities rather than topics (e.g., 'Optimizes 3D rendering pipelines, writes shaders, tunes physics colliders, and configures camera systems for games').

Include common synonyms/file or engine terms (e.g., lighting, materials, models, Unity/Unreal, GLSL/HLSL) to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

Names the domain ('3D game development principles') and four specific sub-areas (rendering, shaders, physics, cameras), but these are topic categories rather than concrete actions, fitting between the 'names domain + 1-2 actions' and 'names domain, actions minimal' anchors.

3 / 5

Completeness

The 'what' is clear (3D game dev principles across four areas) but there is no 'Use when...' clause; per the rubric guideline, a missing explicit trigger caps completeness at 3.

3 / 5

Trigger Term Quality

'Rendering, shaders, physics, cameras' are natural terms a user would say, giving good keyword coverage, though common synonyms/variants (lighting, models, 3D, game) are missing.

4 / 5

Distinctiveness Conflict Risk

The 3D-games niche is mostly distinct with only minor overlap risk against generic 'games' or 'graphics' skills.

4 / 5

Total

14

/

20

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
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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