anthropics/skills180kwebapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts. Triggers when the user asks to visualize data, create a graph, plot a time series, or generate a chart for a report, alert, or dashboard. Runs as a lightweight, headless Node.js process without a browser.
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。
读取 https://funcoding.ai/skills/zebbern/claude-code-guide/chart-image/install.md ,按里面的步骤帮我安装这个 Skill。
Generate PNG chart images from data using Vega-Lite. Perfect for headless server environments.
Built for Fly.io / VPS / Docker deployments:
canvas which requires build tools)cd /data/clawd/skills/chart-image/scripts && npm install
node /data/clawd/skills/chart-image/scripts/chart.mjs \
--type line \
--data '[{"x":"10:00","y":25},{"x":"10:30","y":27},{"x":"11:00","y":31}]' \
--title "Price Over Time" \
--output chart.png
node chart.mjs --type line --data '[{"x":"A","y":10},{"x":"B","y":15}]' --output line.png
node chart.mjs --type bar --data '[{"x":"A","y":10},{"x":"B","y":15}]' --output bar.png
node chart.mjs --type area --data '[{"x":"A","y":10},{"x":"B","y":15}]' --output area.png
# Pie
node chart.mjs --type pie --data '[{"category":"A","value":30},{"category":"B","value":70}]' \
--category-field category --y-field value --output pie.png
# Donut (with hole)
node chart.mjs --type donut --data '[{"category":"A","value":30},{"category":"B","value":70}]' \
--category-field category --y-field value --output donut.png
node chart.mjs --type candlestick \
--data '[{"x":"Mon","open":100,"high":110,"low":95,"close":105}]' \
--open-field open --high-field high --low-field low --close-field close \
--title "Stock Price" --output candle.png
node chart.mjs --type heatmap \
--data '[{"x":"Mon","y":"Week1","value":5},{"x":"Tue","y":"Week1","value":8}]' \
--color-value-field value --color-scheme viridis \
--title "Activity Heatmap" --output heatmap.png
Compare multiple trends on one chart:
node chart.mjs --type line --series-field "market" \
--data '[{"x":"Jan","y":10,"market":"A"},{"x":"Jan","y":15,"market":"B"}]' \
--title "Comparison" --output multi.png
node chart.mjs --type bar --stacked --color-field "category" \
--data '[{"x":"Mon","y":10,"category":"Work"},{"x":"Mon","y":5,"category":"Personal"}]' \
--title "Hours by Category" --output stacked.png
Price line with volume bars:
node chart.mjs --type line --volume-field volume \
--data '[{"x":"10:00","y":100,"volume":5000},{"x":"11:00","y":105,"volume":3000}]' \
--title "Price + Volume" --output volume.png
node chart.mjs --sparkline --data '[{"x":"1","y":10},{"x":"2","y":15}]' --output spark.png
Sparklines are 80x20 by default, transparent, no axes.
| Option | Description | Default |
|---|---|---|
--type | Chart type: line, bar, area, point, pie, donut, candlestick, heatmap | line |
--data | JSON array of data points | - |
--output | Output file path | chart.png |
--title | Chart title | - |
--width | Width in pixels | 600 |
--height | Height in pixels | 300 |
| Option | Description | Default |
|---|---|---|
--x-field | Field name for X axis | x |
--y-field | Field name for Y axis | y |
--x-title | X axis label | field name |
--y-title | Y axis label | field name |
--x-type | X axis type: ordinal, temporal, quantitative | ordinal |
--y-domain | Y scale as "min,max" | auto |
| Option | Description | Default |
|---|---|---|
--color | Line/bar color | #e63946 |
--dark | Dark mode theme | false |
--svg | Output SVG instead of PNG | false |
--color-scheme | Vega color scheme (category10, viridis, etc.) | - |
| Option | Description | Default |
|---|---|---|
--show-change | Show +/-% change annotation at last point | false |
--focus-change | Zoom Y-axis to 2x data range | false |
--focus-recent N | Show only last N data points | all |
--show-values | Label min/max peak points | false |
| Option | Description | Default |
|---|---|---|
--series-field | Field for multi-series line charts | - |
--stacked | Enable stacked bar mode | false |
--color-field | Field for stack/color categories | - |
| Option | Description | Default |
|---|---|---|
--open-field | OHLC open field | open |
--high-field | OHLC high field | high |
--low-field | OHLC low field | low |
--close-field | OHLC close field | close |
| Option | Description | Default |
|---|---|---|
--category-field | Field for pie slice categories | x |
--donut | Render as donut (with center hole) | false |
| Option | Description | Default |
|---|---|---|
--color-value-field | Field for heatmap intensity | value |
--y-category-field | Y axis category field | y |
| Option | Description | Default |
|---|---|---|
--y2-field | Second Y axis field (independent right axis) | - |
--y2-title | Title for second Y axis | field name |
--y2-color | Color for second series | #60a5fa (dark) / #2563eb (light) |
--y2-type | Chart type for second axis: line, bar, area | line |
Example: Revenue bars (left) + Churn area (right):
node chart.mjs \
--data '[{"month":"Jan","revenue":12000,"churn":4.2},...]' \
--x-field month --y-field revenue --type bar \
--y2-field churn --y2-type area --y2-color "#60a5fa" \
--y-title "Revenue ($)" --y2-title "Churn (%)" \
--x-sort none --dark --title "Revenue vs Churn"
| Option | Description | Default |
|---|---|---|
--volume-field | Field for volume bars (enables dual-axis) | - |
--volume-color | Color for volume bars | #4a5568 |
| Option | Description | Default |
|---|---|---|
--y-format | Y axis format: percent, dollar, compact, decimal4, integer, scientific, or d3-format string | auto |
--subtitle | Subtitle text below chart title | - |
--hline | Horizontal reference line: "value" or "value,color" or "value,color,label" (repeatable) | - |
| Option | Description | Default |
|---|---|---|
--annotation | Static text annotation | - |
--annotations | JSON array of event markers | - |
node chart.mjs --type line --data '[...]' \
--title "Iran Strike Odds (48h)" \
--show-change --focus-change --show-values --dark \
--output alert.png
For recent action only:
node chart.mjs --type line --data '[hourly data...]' \
--focus-recent 4 --show-change --focus-change --dark \
--output recent.png
Mark events on the chart:
node chart.mjs --type line --data '[...]' \
--annotations '[{"x":"14:00","label":"News broke"},{"x":"16:30","label":"Press conf"}]' \
--output annotated.png
For proper time series with date gaps:
node chart.mjs --type line --x-type temporal \
--data '[{"x":"2026-01-01","y":10},{"x":"2026-01-15","y":20}]' \
--output temporal.png
Use --x-type temporal when X values are ISO dates and you want spacing to reflect actual time gaps (not evenly spaced).
Format axis values for readability:
# Dollar amounts
node chart.mjs --data '[...]' --y-format dollar --output revenue.png
# → $1,234.56
# Percentages (values as decimals 0-1)
node chart.mjs --data '[...]' --y-format percent --output rates.png
# → 45.2%
# Compact large numbers
node chart.mjs --data '[...]' --y-format compact --output users.png
# → 1.2K, 3.4M
# Crypto prices (4 decimal places)
node chart.mjs --data '[...]' --y-format decimal4 --output molt.png
# → 0.0004
# Custom d3-format string
node chart.mjs --data '[...]' --y-format ',.3f' --output custom.png
Available shortcuts: percent, dollar/usd, compact, integer, decimal2, decimal4, scientific
Add context below the title:
node chart.mjs --title "MOLT Price" --subtitle "20,668 MOLT held" --data '[...]' --output molt.png
Use --dark for dark mode. Auto-select based on time:
--darkecho '[{"x":"A","y":1},{"x":"B","y":2}]' | node chart.mjs --output out.png
For advanced charts:
node chart.mjs --spec my-spec.json --output custom.png
After generating a chart, always send it back to the user's channel. Don't just save to a file and describe it — the whole point is the visual.
# 1. Generate the chart
node chart.mjs --type line --data '...' --output /data/clawd/tmp/my-chart.png
# 2. Send it! Use message tool with filePath:
# action=send, target=<channel_id>, filePath=/data/clawd/tmp/my-chart.png
Tips:
/data/clawd/tmp/ (persistent) not /tmp/ (may get cleaned)action=send with filePath — thread-reply does NOT support file attachments--dark between 20:00-07:00 Israel timeUpdated: 2026-02-04 - Added --y-format (percent/dollar/compact/decimal4) and --subtitle
anthropics/skills180kToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
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浏览器自动化
ComposioHQ/awesome-claude-skills77kToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
code-yeongyu/oh-my-openagent70kDrives a real browser through the omowright library from the js eval kernel: sites the user is already signed into, forms and clicks, JS-rendered pages, screenshots, web QA, extension popups, a human handoff for login, CAPTCHA or OTP, and a browser you own for scraping, bot-scored targets, network capture and QA traces. Use for any interactive browser task; not for a plain search or an unblocked static fetch.
浏览器自动化
shanraisshan/claude-code-best-practice67kBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
浏览器自动化
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浏览器自动化