Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Render tables, charts, stats, cards, and dashboards as images using HTML templates and wkhtmltoimage.
Render tables, charts, stats, cards, and dashboards as images using HTML templates and wkhtmltoimage.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Render dynamic visual content (tables, charts, stats, cards, dashboards) as images using HTML templates and wkhtmltoimage.
"render", "visualize", "chart", "dashboard", "dynamic-ui"
# Basic usage ./scripts/render.sh <template> --data '<json>' # With options ./scripts/render.sh table --data '{"columns":["A","B"],"rows":[["1","2"]]}' --style dark --output out.png # From stdin echo '{"labels":["Q1","Q2"],"values":[100,200]}' | ./scripts/render.sh chart-bar --style modern
TemplateDescriptionInput SchematableData tables{"columns": [...], "rows": [[...], ...]}chart-barBar charts{"labels": [...], "values": [...], "title": "..."}statsKPI cards{"stats": [{"label": "...", "value": "...", "change": "..."}]}cardInfo card{"title": "...", "subtitle": "...", "body": "...", "status": "green|yellow|red"}dashboardComposite{"title": "...", "widgets": [{"type": "stat|table|chart", ...}]}
OptionDescriptionDefault--data, --inputJSON data (or use stdin)---styleTheme: modern, dark, minimalmodern--output, -oOutput pathstdout (base64)--widthImage width in pixels800
modern โ Purple/blue gradients, shadows, rounded corners dark โ Dark background, light text, subtle borders minimal โ Clean white, thin borders
# Render a table ./scripts/render.sh table --data '{"columns":["Name","Score"],"rows":[["Alice","95"],["Bob","87"]]}' -o table.png # Render a bar chart ./scripts/render.sh chart-bar --data '{"labels":["Jan","Feb","Mar"],"values":[120,150,180],"title":"Monthly Sales"}' --style dark -o chart.png # Render stats ./scripts/render.sh stats --data '{"stats":[{"label":"Users","value":"12.5K","change":"+12%"},{"label":"Revenue","value":"$45K","change":"+8%"}]}' -o stats.png
After rendering an image, you'll typically want to send it to the user. Here's the recommended workflow:
# 1. Render to ~/.openclaw/media/ (recommended path) ./scripts/render.sh table --data '...' -o ~/.openclaw/media/my-table.png # 2. Send inline via message tool message(action=send, filePath=/home/ubuntu/.openclaw/media/my-table.png, caption="Caption", channel=telegram, to=<user_id>)
Save to ~/.openclaw/media/ โ this path works reliably for inline sending Use descriptive captions โ helps users understand the visual Consider the context โ sometimes saving to disk is fine if the user requested it
# Render echo '{"title":"My Data","columns":["A","B"],"rows":[["1","2"]]}' | \ ./scripts/render.sh table -o ~/.openclaw/media/data.png # Send message(action=send, filePath=/home/ubuntu/.openclaw/media/data.png, caption="Here's your data", channel=telegram, to=USER_ID)
/usr/bin/wkhtmltoimage โ HTML to image conversion jq โ JSON parsing
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