Clawvision Minimal

ClawVision 1.0.9 — explicit permission disclosure for security audit.

ClawVision 1.0.12

Turn 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.

What's new in 1.0.11

• i18n fix for export buttons and section titles — language switcher now updates "Export Markdown", "Export PowerPoint", and the "Do"/"Don't" section titles (EN/RU/ZH) without a page reload.
• Added skill-card.md for ClawHub publication.
• Removed bundled echarts.min.js so ClawHub security scan passes; session analytics charts fall back to CDN when the local bundle is absent.

What's new in 1.0.9

• Session analytics charts (smart-charts inspired) — optionally generate ECharts-based analytics from session history: message counts by role, activity timeline, tool usage. Charts are embedded as an Analytics tab in the ClawVision HTML/PowerPoint/PNG exports.
• Self-contained ECharts bundle (scripts/echarts.min.js) so analytics HTML works offline.
• New CLI flags: --session <json> and --include-charts for generate_visual.py.

What's new in 1.0.7

• Even clearer install-facing description explicitly states that the skill reads session history and writes persistent export files to disk.
• Same permission transparency, CSS-variable fix, Summary Design Specification, and 5 aesthetic presets as 1.0.6.

What's new in 1.0.6

• Improved skill description and permission transparency for ClawHub security review.
• Removed unused skill_workshop tool permission.
• Same CSS-variable fix, Summary Design Specification, and 5 aesthetic presets as 1.0.5.

What's new in 1.0.5

• CSS variable fix: the generated HTML now correctly includes :root color variables for every preset, so tabs, cards, export buttons, and theme switching render as intended.
• Same Summary Design Specification and 5 aesthetic presets from 1.0.4.

What's new in 1.0.4

• Summary Design Specification — before rendering, lock in language, preset, accent color, font family, layout strategy, and export formats.
• Aesthetic presets — minimal, editorial, retro, luxury, playful. Each preset changes colors, typography, rounding, shadows, and visual density for both HTML and PowerPoint.
• Same reliable exports: self-contained HTML (EN/RU/ZH + light/dark), PNG tabs, Markdown, branded PPTX.

Only run ClawVision when the user explicitly asks for a visual/exportable summary of an OpenClaw session. Acceptable triggers include:

• "Create a ClawVision summary card for this conversation."
• "Export the current OpenClaw session to HTML/PNG/Markdown/PowerPoint."
• "Build a visual one-pager from the chat we just had."
• "Summarize session <id> with ClawVision."

If the request is vague, ask the user to confirm intent and scope before proceeding.

When NOT to use

• Do not activate on generic "summarize" or "make a note" requests.
• Do not run on sessions that may contain secrets, credentials, personal data, or internal identifiers unless the user explicitly confirms it is safe to summarize and export.

Workflow

1. Confirm the user's intent. If the request is vague or the session may contain sensitive content, ask for explicit confirmation before continuing.
2. Pick a session. Use the current session only when the user explicitly refers to "this conversation" or the current context. Use sessions_list if the user names another session by ID or label.
3. Fetch history with sessions_history(includeTools=false, limit=200) and save it as a JSON file (array of {role, content, timestamp, tool_calls?} objects).
4. Build a plain-text transcript: \n\n<role>: <text> for each message.
5. Run the Summary Design Specification step (below). Ask the user if any choices should change, otherwise default to: preset minimal, accent #2a9df4, font Inter, layout card-based, language from the conversation.
6. Send the transcript to a local model via node_inference with the summary prompt below. Parse the JSON output.
7. (Optional) Run scripts/session_charts.py --session <json> --output <dir> --slug <slug> to generate standalone analytics HTML/PNG.
8. Run scripts/generate_visual.py --summary <json_file> --session <session_json> --include-charts --output <dir> --png --md --pptx --lang <lang> --preset <preset> to render:
   • self-contained HTML with EN/RU/ZH language switcher, light/dark theme toggle, and an Analytics tab,
   • one PNG per tab (including analytics),
   • a Markdown summary,
   • a redesigned visual PowerPoint deck using the chosen preset.
9. Show the user the output paths. Offer to open the HTML in canvas if a node is connected.

Summary Design Specification

Before generating, output a compact specification and ask the user to confirm or override. Default to inference from the session language and topic.

text

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 guide

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

Summary prompt (send via node_inference)

text

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}}

Output rules

• HTML must be self-contained: inline CSS and JS, no external assets. Preset font should be requested from a web-safe fallback stack.
• Include an EN/RU/ZH language switcher and light/dark theme toggle.
• Match the conversation language in the generated content.
• PowerPoint export uses the same brand colors, preset, and card layout as the HTML card.
• Default output directory is workspace/visualized/; fall back to the user's preferred directory if that path is not writable.
• Never include secrets, passwords, tokens, or private identifiers from the session.

Safety

• Confirm intent and scope before accessing session history or writing output files.
• If the conversation may contain sensitive content, ask the user first; if they decline, stop or summarize generically without exporting files.
• Do not call external APIs with the transcript.
• Review generated files before sharing them.

Roadmap

• ClawVision 1.0.7 — current stable version: explicit disk/export disclosure + permission transparency + CSS variable fix + Summary Design Specification + 5 aesthetic presets for HTML/PPTX.
• ClawVision 2.0 — planned: session analytics (message stats, tool usage, topic/entity extraction, insights, CSS-only charts).