Initial commit

.claude-plugin/plugin.json

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+{
+  "name": "data-visualization-creator",
+  "description": "Create data visualizations and plots",
+  "version": "1.0.0",
+  "author": {
+    "name": "Claude Code Plugins",
+    "email": "[email protected]"
+  },
+  "skills": [
+    "./skills"
+  ],
+  "commands": [
+    "./commands"
+  ]
+}

README.md

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+# data-visualization-creator
+
+Create data visualizations and plots

commands/viz-data.md

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+---
+description: Execute AI/ML task with intelligent automation
+---
+
+# AI/ML Task Executor
+
+You are an AI/ML specialist. When this command is invoked:
+
+1. Analyze the current context and requirements
+2. Generate appropriate code for the ML task
+3. Include data validation and error handling
+4. Provide performance metrics and insights
+5. Save artifacts and generate documentation
+
+Support modern ML frameworks and best practices.

plugin.lock.json

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+{
+  "$schema": "internal://schemas/plugin.lock.v1.json",
+  "pluginId": "gh:jeremylongshore/claude-code-plugins-plus:plugins/ai-ml/data-visualization-creator",
+  "normalized": {
+    "repo": null,
+    "ref": "refs/tags/v20251128.0",
+    "commit": "69550edc7d5efb8e1b986eab88eee574aa05a11c",
+    "treeHash": "a12f60b388314f4e79f0e4a69d124462a6b392865b7fb8b9bd28a95be7b37053",
+    "generatedAt": "2025-11-28T10:18:18.027852Z",
+    "toolVersion": "publish_plugins.py@0.2.0"
+  },
+  "origin": {
+    "remote": "git@github.com:zhongweili/42plugin-data.git",
+    "branch": "master",
+    "commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390",
+    "repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data"
+  },
+  "manifest": {
+    "name": "data-visualization-creator",
+    "description": "Create data visualizations and plots",
+    "version": "1.0.0"
+  },
+  "content": {
+    "files": [
+      {
+        "path": "README.md",
+        "sha256": "6a717af38b39769e947f742f56376efa0defb64a5a1d32722b7d334b28d2f4bb"
+      },
+      {
+        "path": ".claude-plugin/plugin.json",
+        "sha256": "69f6269a3e04cd667aaf91057820412ecf5530528c271c7ad4491b131253df64"
+      },
+      {
+        "path": "commands/viz-data.md",
+        "sha256": "043efb83e2f02fc6d0869c8a3a7388d6e49f6c809292b93dd6a97a1b142e5647"
+      },
+      {
+        "path": "skills/data-visualization-creator/SKILL.md",
+        "sha256": "ccef09937ebf45e5d18bb4e7c636b17e0d7f30154812858fe3e34e5652732c0f"
+      },
+      {
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+      },
+      {
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+      },
+      {
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+        "sha256": "2c0ecda77c6c9da3a5483932b5c0b2335403756cbff7e8d82e3ecea756da952b"
+      }
+    ],
+    "dirSha256": "a12f60b388314f4e79f0e4a69d124462a6b392865b7fb8b9bd28a95be7b37053"
+  },
+  "security": {
+    "scannedAt": null,
+    "scannerVersion": null,
+    "flags": []
+  }
+}

skills/data-visualization-creator/SKILL.md

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+---
+name: creating-data-visualizations
+description: |
+  This skill enables Claude to generate data visualizations, plots, charts, and graphs from provided data. It analyzes the data, selects the most appropriate visualization type, and creates a visually appealing and informative graphic. Use this skill when the user requests a visualization, plot, chart, or graph; when data needs to be presented visually; or when exploring data patterns. The skill is triggered by requests for "visualization", "plot", "chart", or "graph".
+allowed-tools: Read, Write, Edit, Grep, Glob, Bash
+version: 1.0.0
+---
+
+## Overview
+
+This skill empowers Claude to transform raw data into compelling visual representations. It leverages intelligent automation to select optimal visualization types and generate informative plots, charts, and graphs. This skill helps users understand complex data more easily.
+
+## How It Works
+
+1. **Data Analysis**: Claude analyzes the provided data to understand its structure, type, and distribution.
+2. **Visualization Selection**: Based on the data analysis, Claude selects the most appropriate visualization type (e.g., bar chart, scatter plot, line graph).
+3. **Visualization Generation**: Claude generates the visualization using appropriate libraries and best practices for visual clarity and accuracy.
+
+## When to Use This Skill
+
+This skill activates when you need to:
+- Create a visual representation of data.
+- Generate a specific type of plot, chart, or graph (e.g., "create a bar chart").
+- Explore data patterns and relationships through visualization.
+
+## Examples
+
+### Example 1: Visualizing Sales Data
+
+User request: "Create a bar chart showing sales by region."
+
+The skill will:
+1. Analyze the sales data, identifying regions and corresponding sales figures.
+2. Generate a bar chart with regions on the x-axis and sales on the y-axis.
+
+### Example 2: Plotting Stock Prices
+
+User request: "Plot the stock price of AAPL over the last year."
+
+The skill will:
+1. Retrieve historical stock price data for AAPL.
+2. Generate a line graph showing the stock price over time.
+
+## Best Practices
+
+- **Data Clarity**: Ensure the data is clean and well-formatted before requesting a visualization.
+- **Specific Requests**: Be specific about the desired visualization type and any relevant data filters.
+- **Contextual Information**: Provide context about the data and the purpose of the visualization.
+
+## Integration
+
+This skill can be integrated with other data processing and analysis tools within the Claude Code environment. It can receive data from other skills and provide visualizations for further analysis or reporting.

skills/data-visualization-creator/assets/README.md

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+# Assets
+
+Bundled resources for data-visualization-creator skill
+
+- [ ] chart_templates/: A directory containing templates for different chart types (e.g., bar chart, line chart, scatter plot) to provide a starting point for visualization.
+- [ ] example_data/: A directory containing example datasets for different visualization scenarios.
+- [ ] color_palettes.json: A JSON file containing predefined color palettes for creating visually appealing charts.

skills/data-visualization-creator/references/README.md

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+# References
+
+Bundled resources for data-visualization-creator skill
+
+- [ ] visualization_best_practices.md: A guide to selecting the most effective visualization types for different data types and purposes.
+- [ ] matplotlib_tutorial.md: A tutorial on using Matplotlib for creating various types of plots and charts.
+- [ ] seaborn_tutorial.md: A tutorial on using Seaborn for creating statistical visualizations.
+- [ ] plotly_tutorial.md: A tutorial on using Plotly for creating interactive visualizations.
+- [ ] data_format_standards.md: Documentation on accepted data formats and standards for the visualization tool.

skills/data-visualization-creator/scripts/README.md

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+# Scripts
+
+Bundled resources for data-visualization-creator skill
+
+- [ ] data_analyzer.py: Analyzes the provided data and suggests appropriate visualization types based on data characteristics (e.g., distribution, correlation).
+- [ ] chart_generator.py: Generates the visualization code (e.g., using Matplotlib, Seaborn, Plotly) based on the selected type and data.
+- [ ] data_validator.py: Validates the input data format and content to prevent errors during visualization.