Intelligently selects from 26 chart types and generates visualization images from structured data.
Works with
Covers 26 chart types across time series, comparisons, hierarchies, maps, relationships, and specialized visualizations (radar, funnel, sankey, network graphs, and more)
Requires Node.js 18.0.0 or higher; generates charts by invoking a JavaScript script with JSON payload containing data, title, theme, and style parameters
Workflow: analyze user data to select appropriate chart type, ext
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionchart-visualizationExecute the skills CLI command in your project's root directory to begin installation:
Fetches chart-visualization from antvis/chart-visualization-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate chart-visualization. Access via /chart-visualization in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
5
total installs
5
this week
50
GitHub stars
0
upvotes
Run in your terminal
5
installs
5
this week
50
stars
This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.
To visualize data, follow these steps:
Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult references/ for detailed specs):
generate_line_chart (trends) or generate_area_chart (accumulated trends). Use generate_dual_axes_chart for two different scales.generate_bar_chart (categorical) or generate_column_chart. Use generate_histogram_chart for frequency distributions.generate_pie_chart or generate_treemap_chart (hierarchical).generate_scatter_chart (correlation), generate_sankey_chart (flow), or generate_venn_chart (overlap).generate_district_map (regions), generate_pin_map (points), or generate_path_map (routes).generate_organization_chart or generate_mind_map.generate_radar_chart: Multi-dimensional comparison.generate_funnel_chart: Process stages.generate_liquid_chart: Percentage/Progress.generate_word_cloud_chart: Text frequency.generate_boxplot_chart or generate_violin_chart: Statistical distribution.generate_network_graph: Complex node-edge relationships.generate_fishbone_diagram: Cause-effect analysis.generate_flow_diagram: Process flow.generate_spreadsheet: Tabular data or pivot tables for structured data display and cross-tabulation.Once a chart type is selected, read the corresponding file in the references/ directory (e.g., references/generate_line_chart.md) to identify the required and optional fields.
Extract the data from the user's input and map it to the expected args format.
Invoke the scripts/generate.js script with a JSON payload.
Payload Format:
{
"tool": "generate_chart_type_name",
"args": {
"data": [...],
"title": "...",
"theme": "...",
"style": { ... }
}
}
Execution Command:
node ./scripts/generate.js '<payload_json>'
The script will output the URL of the generated chart image. Return the following to the user:
args (specification) used for generation.Detailed specifications for each chart type are located in the references/ directory. Consult these files to ensure the args passed to the script match the expected schema.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Keeps context tight: chart-visualization is the kind of skill you can hand to a new teammate without a long onboarding doc.
chart-visualization has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: chart-visualization is focused, and the summary matches what you get after install.
Keeps context tight: chart-visualization is the kind of skill you can hand to a new teammate without a long onboarding doc.
chart-visualization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added chart-visualization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: chart-visualization is focused, and the summary matches what you get after install.
Useful defaults in chart-visualization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
chart-visualization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
chart-visualization has been reliable in day-to-day use. Documentation quality is above average for community skills.
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