AI Agents Marketplace
Showing 19 of 19 results
Mapbox Data Visualization Patterns
Patterns for visualizing data on maps including choropleth maps, heat maps, 3D visualizations, data-driven styling, and animated data. Covers layer types, co...
Visualization
AI-driven professional data visualization for financial analysis. Create stock charts, portfolio dashboards, and industry comparisons via natural language.
Lightweight charting skill: powerful styling & direct PNG export
Default skill for structured-data visualization, chart generation, and dashboard-style reporting. Use when the user asks to create charts, graphs, plots, das...
Data Visualization
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and story...
System Data Intelligence — File · Analysis · Visualization
专为文件操作、数据分析、可视化、数据库连接、API 接入和敏感数据处理设计的系统级 Agent Skill。 【强制触发场景】： - 用户提及任何文件操作：Excel / WPS / Word / TXT / Markdown / RTZ / CSV / JSON - 「分析」「读取」「提取」「处理」「建模」「预...
Data Visualization Studio
Create interactive and static data visualizations from datasets. Supports charts, graphs, dashboards, and statistical plots with multiple output formats (PNG...
Chief Data & Insight Officer
首席数据智能官 — 多维数据分析与可视化洞察。当用户提供任何形式的业务数据（截图、表格、文本、聊天记录、碎片化信息）并希望获得深度数据分析、业务诊断、象限定位、ROI归因、决策建议时触发。
Scientific Visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, c...
Intelligent Data Analysis Assistant
LLM-powered intelligent data analysis assistant supporting natural language queries, SQL generation, visualization, and multi-turn conversation. Suitable for...
D3.js — A JavaScript library for data visualization.
D3.js (Data-Driven Documents) — A JavaScript library for data visualization. Covers installation, selections, data binding, scales, shapes, transitions, 30+...
It is designed for scenarios that require direct operating system application and in-depth data analysis. [Forced trigger scenario]: - User mentions reading/writing/manipulating Excel, WPS, Word, TXT, Markdown, RTZ, etc. - User wants to "grab", "extract", and "get" data from any application - User needs to perform "in-depth analysis", "trend research", "anomaly detection", and "prediction" on the data - User requests to generate "charts", "visualizations", "dashboards", "data reports" - users say, "Help me see in this document..." Analyze this data...", "Make a chart presentation..." - Any task involving cross-application data flow [Core Competencies]: System interface calls × Data in-depth analysis × Professional visualization IMPORTANT: As long as it involves any of the file operations, data analysis, and visualization, this skill must be used. Don't skip tasks just because they "look simple" - there are many pitfalls in the underlying interface calls, and there are pitfall avoidance guides in the skills.
专为需要直接操作系统应用并进行深度数据分析的场景设计。 【强制触发场景】： - 用户提及 Excel、WPS、Word、TXT、Markdown、RTZ 等文件的读取/写入/操控 - 用户想从任何应用中「抓取」「提取」「获取」数据 - 用户需要对数据进行「深度分析」「趋势研究」「异常检测」「预测」 - 用户要求生...
d3-visualization
Build deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML/SVG (and optional PNG) from local data files without external n...
antv-g2-chart
# G2 v5 Chart Visualization ## Overview G2 v5 is AntV's grammar-of-graphics charting library. It uses **Spec Mode** — a declarative, JSON-like configuration style where `chart.options()` defines the entire visualization in one call. ```javascript import { Chart } from '@antv/g2'; const chart = new Chart({ container: 'container', autoFit: true }); chart.options({ type: 'interval', data: [{ genre: 'Sports', sold: 275 }], encode: { x: 'genre', y: 'sold' }, }); chart.render(); ``` ### CDN Usage ```html <script
antv-skills-maintainer
# AntV Skills Maintainer This skill ensures that all documentation and configuration files remain in sync whenever a skill is added or updated in this repository. ## Important The `antv-skills-maintainer` skill is **internal-only** — it is used solely for this repository's iteration workflow. Do **not** add it to `README.md` "Available Skills" or `.claude-plugin/marketplace.json`. Only user-facing skills should appear in those files. ## When to Apply Apply this skill automatically after **every code change*
icon-retrieval
# Icon Search Use the icon HTTP API directly with `curl`. ## API ### Search Endpoint - **Method**: `GET` - **URL**: `https://lab.weavefox.cn/api/v1/infographic/icon` - **Query params**: - `text` (required): search keyword, e.g. `"data analysis"` - `topK` (optional): number of icons to fetch (1-20), default `5` Example: ```bash curl -sS -L --max-time 20 "https://lab.weavefox.cn/api/v1/infographic/icon?text=document&topK=5" ``` Typical response: ```json { "success": true, "data": [ "https://example.com/icon1.
narrative-text-visualization
# Narrative Text Visualization Skill This skill provides a workflow for transforming data into structured narrative text visualizations using **T8 Syntax** - a declarative Markdown-like language for creating data narratives with semantic entity annotations. ## What is T8 T8 is a text visualization solution under the AntV technology stack designed specifically for insight-based narrative text display. Instead of manually constructing DOM elements, you write simple, human-readable syntax that describes your d
data-visualization
# Data Visualization You are an expert in designing clear, accessible, and informative data visualizations. ## What You Do You design data visualizations that communicate insights effectively using appropriate chart types and styling. ## Chart Selection ### Comparison Bar charts (categorical), grouped bars (multi-series), bullet charts (target vs actual). ### Trend Over Time Line charts (continuous), area charts (volume), sparklines (inline). ### Part of Whole Pie/donut (few categories), stacked bar (many c
chart-visualization
# Chart Visualization Skill This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation. ## Workflow To visualize data, follow these steps: ### 1. Intelligent Chart Selection Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult `references/` for detailed specs): - **Time Series**: Use `generate_line_chart` (trends) or `generate_area_chart` (acc
d3-visualization
# d3-visualization > Curated from @jiannanya. ## What it does Teaches the agent to produce D3 charts and interactive data visualizations. A comprehensive D3.js skill with examples across chart types and techniques giving the agent expert-level knowledge to generate complex, interactive visualizations. Useful for editorial dashboards, reports, data-rich prototypes, and explanatory graphics. ## Source - Upstream: https://github.com/jiannanya/snow-d3/ - Category: `diagrams` ## How to use This catalogue entry a