webgl

WebGL shaders and effects for JARVIS 3D HUD

Quality

58%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/webgl/SKILL.md

Quality

Content

85%

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

This is a well-structured WebGL skill with excellent actionability through executable code examples and clear workflow guidance with TDD emphasis. The main weakness is moderate verbosity - tables for browser support, CVEs, and OWASP coverage add tokens without providing guidance Claude needs to act on. The security focus is appropriate given the medium risk level.

Suggestions

Remove or condense the browser support table, CVE table, and OWASP coverage table - Claude doesn't need these reference tables to write WebGL code safely

Consolidate sections 7 (Security Standards) and 8.1 (Critical Security Anti-Patterns) since they overlap in purpose

Dimension	Reasoning	Score
Conciseness	The skill is reasonably efficient but includes some unnecessary content like the browser support table, OWASP coverage table, and CVE listings that add bulk without providing actionable guidance Claude needs. The overview sections could be tighter.	2 / 3
Actionability	Excellent executable code examples throughout - shader compilation, context handling, resource management, and GLSL shaders are all copy-paste ready with proper TypeScript typing and error handling.	3 / 3
Workflow Clarity	Clear TDD workflow with explicit steps (write failing test -> implement -> refactor -> verify), comprehensive pre-implementation checklist with phases, and validation checkpoints throughout including test commands.	3 / 3
Progressive Disclosure	Well-organized with clear section hierarchy, references to external files (references/advanced-patterns.md, references/security-examples.md) are one level deep and clearly signaled at the end, content appropriately split between overview and detailed patterns.	3 / 3
	Total	11 / 12 Passed

Description

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 niche (JARVIS-style 3D HUD with WebGL) but lacks the completeness needed for effective skill selection. It fails to specify concrete actions beyond generic 'shaders and effects' and critically omits any 'Use when...' guidance, making it difficult for Claude to know when to select this skill over others.

Suggestions

Add a 'Use when...' clause with explicit triggers like 'Use when creating JARVIS-style interfaces, Iron Man HUD effects, sci-fi holographic displays, or WebGL shader effects for futuristic UIs'

List specific concrete actions such as 'Create glow effects, implement scan lines, build holographic projections, write GLSL shaders for 3D HUD elements'

Include additional natural trigger terms users might say: 'GLSL', 'Iron Man', 'hologram', 'sci-fi interface', 'futuristic display'

Dimension	Reasoning	Score
Specificity	Names the domain (WebGL shaders, JARVIS 3D HUD) and implies actions (effects), but doesn't list concrete specific actions like 'create glow effects', 'implement post-processing', or 'write vertex/fragment shaders'.	2 / 3
Completeness	Only addresses 'what' at a high level (WebGL shaders/effects for JARVIS HUD) 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 keywords ('WebGL', 'shaders', 'effects', 'JARVIS', '3D', 'HUD') but misses common variations users might say like 'GLSL', 'graphics', 'visual effects', 'rendering', or 'Iron Man interface'.	2 / 3
Distinctiveness Conflict Risk	The 'JARVIS 3D HUD' context provides some distinctiveness, but 'WebGL shaders and effects' is broad enough to potentially overlap with general WebGL or shader skills. The JARVIS specificity helps but isn't fully leveraged.	2 / 3
	Total	7 / 12 Passed

Validation

68%

Warnings & errors only

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

Validation — 11 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (501 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
Commit: 1086ef2

Reviewed: 4 months ago

Table of Contents

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