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增强版图表生成功能。支持8种图表类型（折线图、柱状图、饼图、散点图、面积图、热力图、箱线图、雷达图）和3种主题（默认、深色、商务）。基于 matplotlib + seaborn 实现。
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Generate images using Qwen Image API (Alibaba Cloud DashScope). Use when users request image generation with Chinese prompts or need high-quality AI-generated images from text descriptions.
Transform agents from task-followers into proactive partners.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
自动生成短视频。支持图文轮播、文字动画、卡片风格和 AI 视频大模型生成等多种视频类型。用户需要生成视频时使用此技能。
Process multiple items with progress tracking, checkpointing, and failure recovery.
增强版浏览器自动化。基于 Playwright 实现完整浏览器操作，包括基础导航、截图、点击、表单填写、内容提取、文件上传/下载、多标签页管理。支持反检测和高级自动化。
| name | chart-image |
| triggers | null |
| version | 2.5.1 |
| status | enhanced |
| description | 增强版图表生成功能。支持8种图表类型（折线图、柱状图、饼图、散点图、面积图、热力图、箱线图、雷达图）和3种主题（默认、深色、商务）。基于 matplotlib + seaborn 实现。 |
| provides | null |
| os | null |
| clawdbot | null |
| emoji | 📊 |
| category | data |
| priority | high |
| updated | "2026-03-11T00:00:00.000Z" |
✅ 状态：增强版已上线，功能完整。
~/.xyvaclaw/output/charts/用户说"生成图表"或"数据可视化"时自动触发。
# 折线图
python3 scripts/chart.py --type line --data "1,3,2,5,4" --labels "Mon,Tue,Wed,Thu,Fri" --title "Weekly Sales"
# 柱状图（水平）
python3 scripts/chart.py --type bar --data "45,62,38,71" --labels "Product A,Product B,Product C,Product D" --horizontal
# 散点图
python3 scripts/chart.py --type scatter --x-data "1,2,3,4,5" --y-data "2,4,6,8,10" --title "Correlation"
# 热力图
python3 scripts/chart.py --type heatmap --data "[[1,2,3],[4,5,6],[7,8,9]]" --col-labels "X,Y,Z" --row-labels "A,B,C"
# 使用深色主题
python3 scripts/chart.py --type line --data "1,3,2,5,4" --theme dark
基于 matplotlib + seaborn + numpy 实现，提供统一的 dataviz_wrapper 接口。