Say "Help me install this skill from https://clawhub.ai/shuminliu026/chat-summary-card" to your local agent, then turn conversations into polished visual sum...
Coding
conversation-visualizer
Try itGenerate visual HTML summaries from OpenClaw session history.
What it does
Generate visual HTML summaries from OpenClaw session history.
The skill document
Conversation Visualizer
Turn an OpenClaw chat session into a clean, tabbed HTML infographic — like a Codex $visualize card, but local. Also exports to Markdown and PowerPoint.
When to use
- The user asks to "summarize this chat", "visualize our discussion", or "make a one-pager from this conversation".
- After a planning or decision session, to create a shareable summary card.
- To produce a quick visual artifact for clawhub, a daily note, a Telegram post, or a slide deck.
Workflow
- Pick a session. Use the current session by default; use
sessions_listif the user names another one. - Fetch history with
sessions_history(includeTools=false, limit=200). - Build a plain-text transcript:
\n\n:for each message. - Send the transcript to a local model via
node_inferencewith the summary prompt below. Parse the JSON output. - Run
scripts/generate_visual.py --summary --output --png --md --pptx --langto render:- self-contained HTML with EN/RU/ZH language switcher and light/dark theme toggle,
- one PNG per tab,
- a Markdown summary,
- a PowerPoint deck.
- Show the user the output paths. Offer to open the HTML in
canvasif a node is connected.
Summary prompt (send via node_inference)
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.
- Include an EN/RU/ZH language switcher and light/dark theme toggle.
- Match the conversation language in the generated content.
- 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
- If the history contains sensitive content, summarize it generically or ask the user first.
- Do not call external APIs with the transcript.
Related skills
ClawVision 1.0.9 — explicit permission disclosure for security audit.
Project-based conversation logging for OpenClaw. Use when setting up daily auto-logging across parallel projects, building conversational continuity between...
Archive and organize completed OpenClaw session logs into structured markdown notes for long-term memory retention. Use when wrapping up a long session, consolidating work logs, or preparing daily memory files for review.
ClawVision Lite 1.0.0 — lightweight HTML-only export of an OpenClaw session. English-only, no analytics, no PowerPoint, no Markdown. Reads session history and writes one self-contained HTML file to disk.
Audit an OpenClaw agent workspace and generate standardized evaluation reports, scores, and patches. Use when asked to review memory quality, retrieval effic...