DATA
6de0bf9f5b
Vendored deer-flow upstream (bytedance/deer-flow) plus prompt-injection hardening: - New deerflow.security package: content_delimiter, html_cleaner, sanitizer (8 layers — invisible chars, control chars, symbols, NFC, PUA, tag chars, horizontal whitespace collapse with newline/tab preservation, length cap) - New deerflow.community.searx package: web_search, web_fetch, image_search backed by a private SearX instance, every external string sanitized and wrapped in <<<EXTERNAL_UNTRUSTED_CONTENT>>> delimiters - All native community web providers (ddg_search, tavily, exa, firecrawl, jina_ai, infoquest, image_search) replaced with hard-fail stubs that raise NativeWebToolDisabledError at import time, so a misconfigured tool.use path fails loud rather than silently falling back to unsanitized output - Native client back-doors (jina_client.py, infoquest_client.py) stubbed too - Native-tool tests quarantined under tests/_disabled_native/ (collect_ignore_glob via local conftest.py) - Sanitizer Layer 7 fix: only collapse horizontal whitespace, preserve newlines and tabs so list/table structure survives - Hardened runtime config.yaml references only the searx-backed tools - Factory overlay (backend/) kept in sync with deer-flow tree as a reference / source See HARDENING.md for the full audit trail and verification steps.
73 lines
3.3 KiB
Markdown
73 lines
3.3 KiB
Markdown
---
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name: chart-visualization
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description: This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.
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dependency:
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nodejs: ">=18.0.0"
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---
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# Chart Visualization Skill
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This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.
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## Workflow
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To visualize data, follow these steps:
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### 1. Intelligent Chart Selection
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Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult `references/` for detailed specs):
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- **Time Series**: Use `generate_line_chart` (trends) or `generate_area_chart` (accumulated trends). Use `generate_dual_axes_chart` for two different scales.
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- **Comparisons**: Use `generate_bar_chart` (categorical) or `generate_column_chart`. Use `generate_histogram_chart` for frequency distributions.
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- **Part-to-Whole**: Use `generate_pie_chart` or `generate_treemap_chart` (hierarchical).
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- **Relationships & Flow**: Use `generate_scatter_chart` (correlation), `generate_sankey_chart` (flow), or `generate_venn_chart` (overlap).
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- **Maps**: Use `generate_district_map` (regions), `generate_pin_map` (points), or `generate_path_map` (routes).
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- **Hierarchies & Trees**: Use `generate_organization_chart` or `generate_mind_map`.
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- **Specialized**:
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- `generate_radar_chart`: Multi-dimensional comparison.
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- `generate_funnel_chart`: Process stages.
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- `generate_liquid_chart`: Percentage/Progress.
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- `generate_word_cloud_chart`: Text frequency.
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- `generate_boxplot_chart` or `generate_violin_chart`: Statistical distribution.
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- `generate_network_graph`: Complex node-edge relationships.
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- `generate_fishbone_diagram`: Cause-effect analysis.
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- `generate_flow_diagram`: Process flow.
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- `generate_spreadsheet`: Tabular data or pivot tables for structured data display and cross-tabulation.
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### 2. Parameter Extraction
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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.
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Extract the data from the user's input and map it to the expected `args` format.
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### 3. Chart Generation
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Invoke the `scripts/generate.js` script with a JSON payload.
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**Payload Format:**
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```json
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{
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"tool": "generate_chart_type_name",
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"args": {
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"data": [...],
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"title": "...",
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"theme": "...",
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"style": { ... }
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}
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}
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```
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**Execution Command:**
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```bash
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node ./scripts/generate.js '<payload_json>'
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```
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### 4. Result Return
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The script will output the URL of the generated chart image.
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Return the following to the user:
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- The image URL.
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- The complete `args` (specification) used for generation.
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## Reference Material
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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.
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## License
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This `SKILL.md` is provided by [antvis/chart-visualization-skills](https://github.com/antvis/chart-visualization-skills).
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Licensed under the [MIT License](https://github.com/antvis/chart-visualization-skills/blob/master/LICENSE). |