Data Visualization Helper - Auto-activating skill for Visual Content. Triggers on: data visualization helper, data visualization helper Part of the Visual Content skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill data-visualization-helperOverall
score
17%
Does it follow best practices?
Validation for skill structure
Activation
0%This description is essentially a placeholder with no substantive content. It provides only the skill name, a generic category label, and a redundant trigger term. It completely fails to communicate what the skill does, what specific visualization capabilities it offers, or when Claude should select it.
Suggestions
Add specific concrete actions the skill performs (e.g., 'Creates bar charts, line graphs, scatter plots, and heatmaps from tabular data')
Include a 'Use when...' clause with natural trigger terms users would say (e.g., 'Use when the user asks to visualize data, create charts, plot graphs, or generate visual representations of datasets')
Specify the types of data or file formats supported to distinguish from other visual content skills (e.g., 'Works with CSV, JSON, or spreadsheet data to produce charts')
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description contains no concrete actions whatsoever. 'Data Visualization Helper' is just a name, and 'Auto-activating skill for Visual Content' is abstract meta-language that doesn't describe what the skill actually does. | 1 / 3 |
Completeness | The description fails to answer both 'what does this do' and 'when should Claude use it'. There is no explanation of capabilities and no explicit usage guidance beyond the redundant trigger phrase. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'data visualization helper' repeated twice, which is the skill's own name rather than natural keywords users would say. Missing terms like 'chart', 'graph', 'plot', 'visualize data', etc. | 1 / 3 |
Distinctiveness Conflict Risk | 'Visual Content' is extremely generic and could overlap with image generation, diagram creation, presentation skills, or any visual output. No specific niche or distinguishing characteristics are provided. | 1 / 3 |
Total | 4 / 12 Passed |
Implementation
0%This skill is essentially a placeholder template with no substantive content. It repeatedly references 'data visualization helper' without ever explaining what that means or how to actually create data visualizations. The entire content could be replaced with a single sentence: 'This skill helps with data visualization' - which would be equally uninformative but more concise.
Suggestions
Add concrete, executable code examples for common visualization tasks (e.g., creating charts with matplotlib, generating Mermaid diagrams, building D3.js visualizations)
Define specific workflows for different visualization types: 'For bar charts: 1. Prepare data in X format, 2. Use this code template, 3. Validate output'
Remove all generic boilerplate ('provides automated assistance', 'follows best practices') and replace with actual techniques and patterns
Add references to detailed guides for specific tools mentioned in tags (Mermaid syntax guide, chart library comparisons, presentation tools)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that provides no actual value. Phrases like 'provides automated assistance' and 'follows industry best practices' are meaningless filler that Claude doesn't need. | 1 / 3 |
Actionability | There is zero concrete guidance - no code, no commands, no specific examples of data visualization techniques. The content describes what the skill supposedly does without actually teaching anything actionable. | 1 / 3 |
Workflow Clarity | No workflow is defined. The skill claims to provide 'step-by-step guidance' but contains no actual steps, sequences, or processes for creating data visualizations. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block of vague descriptions with no references to detailed materials, no links to examples, and no structured navigation to actual visualization resources or techniques. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
69%Validation — 11 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 11 / 16 Passed | |
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.