Install
openclaw skills install @monaxamo/clawvisionClawVision 1.0.6 — improve ClawHub security review transparency by rewriting description and removing unused skill_workshop permission.
openclaw skills install @monaxamo/clawvisionTurn an OpenClaw chat session into a clean, tabbed HTML infographic — like a Codex $visualize card, but local. Also exports to Markdown and a redesigned, visual PowerPoint deck. Now with aesthetic presets and a Summary Design Specification step.
skill_workshop tool permission.:root color variables for every preset, so tabs, cards, export buttons, and theme switching render as intended.minimal, editorial, retro, luxury, playful. Each preset changes colors, typography, rounding, shadows, and visual density for both HTML and PowerPoint.Only run ClawVision when the user explicitly asks for a visual/exportable summary of an OpenClaw session. Acceptable triggers include:
<id> with ClawVision."If the request is vague, ask the user to confirm intent and scope before proceeding.
sessions_list if the user names another session by ID or label.sessions_history(includeTools=false, limit=200).\n\n<role>: <text> for each message.minimal, accent #2a9df4, font Inter, layout card-based, language from the conversation.node_inference with the summary prompt below. Parse the JSON output.scripts/generate_visual.py --summary <json_file> --output <dir> --png --md --pptx --lang <lang> --preset <preset> to render:
canvas if a node is connected.Before generating, output a compact specification and ask the user to confirm or override. Default to inference from the session language and topic.
SUMMARY SPECIFICATION
====================
1. Session language: [en | ru | zh]
2. Aesthetic preset: [minimal | editorial | retro | luxury | playful]
3. Dominant accent color: #HEX
4. Font family: [Inter | Georgia | Space Grotesk | Playfair Display | Nunito | etc.]
5. Layout strategy: [card-based | editorial-column | retro-grid | luxury-spaced | playful-stacked]
6. Export formats: [html | png | md | pptx | all]
| Preset | Best for | Accent examples | Rounding | Shadow | Font |
|---|---|---|---|---|---|
minimal | Clean technical summaries | blue/grey | medium | subtle | Inter / system |
editorial | Long-form insights, articles | burgundy/navy | small | flat | Georgia / serif |
retro | Nostalgia, games, old-web | orange/brown | large | hard | Space Grotesk |
luxury | Finance, premium products | gold/black | tiny | soft | Playfair Display |
playful | Education, social, onboarding | purple/green | huge | bouncy | Nunito |
You are a conversation summarizer. Read the OpenClaw transcript below and return ONLY a JSON object with no markdown:
{
"title": "Short title in the conversation language",
"subtitle": "One-line context",
"main_takeaway": "The single most important conclusion",
"format_takeaway": "How the discussion was structured",
"next_takeaway": "What the next move should be",
"flow": [
{"label": "Step 1", "sub": "what happened"},
{"label": "→", "sub": ""},
{"label": "Step 2", "sub": "what happened"}
],
"metrics": [
{"title": "Goal", "text": "..."},
{"title": "Approach", "text": "..."},
{"title": "Output", "text": "..."}
],
"dos": ["good practice 1", "good practice 2"],
"donts": ["risk 1", "risk 2"],
"checklist": [
{"text": "Item name", "status": "ready|pending|blocked"}
],
"next_steps": ["action 1", "action 2"]
}
Transcript:
{{transcript}}
workspace/visualized/; fall back to the user's preferred directory if that path is not writable.