viz（即）

Viz Pack — Multi-Mode Visual Dispatcher

Transform any content into a professional visualization via one of four output modes. This skill is a dispatcher: it resolves the active mode, loads the mode-specific workflow from references/, and executes it.

Step 1: Resolve the active mode

Inspect the invocation in this priority order:

1. Positional argument. The first positional argument is $0. If $0 matches diagram, infographic, visualize, or publish, use it as the mode. Remaining arguments ($ARGUMENTS after the mode token) are the optional content reference (URL, file path, or inline text).
2. Keyword trigger. If $0 is empty or not a valid mode, scan the most recent user message for a trigger keyword and map it to a mode: Trigger keyword(s) Mode "diagram it", "excalidraw this", "draw a diagram of this" diagram "nano this" infographic "vis it" visualize "ver it", "hey it", "heygenverse this", "put this on heygenverse as a visual" publish
3. Ask the user. If neither signal yields a mode, stop and ask which output to produce — diagram (Excalidraw), infographic (Swiss Pulse PNG via Gemini), visualize (inline Visualizer widget), or publish (interactive Swiss Pulse app on HeyGenverse). Do not guess.

Invocation context injected at render time: mode token is $0, content reference is $ARGUMENTS.

Step 2: Load the mode workflow

Read the reference file for the resolved mode and follow its workflow end-to-end:

Read the file on every invocation — do not execute from memory — so any updates to the workflow are applied.

Step 3: Acquire the content (shared across modes)

All four modes accept content from the same sources. Resolve the content target in this priority order:

1. If $ARGUMENTS contains a URL → retrieve via web_fetch. If blocked (429/403), fall back to web_search with key phrases to get the content from search snippets.
2. If $ARGUMENTS points to an uploaded file → read from /mnt/user-data/uploads/ using pdfplumber for PDF, python-docx for DOCX, pandas for CSV/TSV, direct read for TXT/MD/HTML.
3. If $ARGUMENTS is inline text → use it directly.
4. Else scan the current conversation for a referenced source (uploaded file, URL previously shared, meeting transcript at /mnt/transcripts/, pasted text) and use that.

Summarize to core structure if the content exceeds 3,000 words for modes that pipe text into an LLM (infographic) or 5,000 words for modes that assemble visuals client-side (diagram, visualize, publish).

Step 4: Execute the loaded workflow

Follow the steps in the loaded workflow file exactly. Do not substitute tools, colors, typography, or output formats across modes.

Non-Negotiable Rules

• Never respond with a plain-text summary instead of the requested visual output.
• Never swap output format across modes (e.g., do not emit Excalidraw when mode=publish was requested).
• Never skip reading the mode-specific workflow file — every mode has non-obvious tool contracts and design constraints.
• Never use colors outside each mode's palette (Excalidraw: 2–3 neutrals; Swiss Pulse modes: black/white + #0066FF only).

Error Handling

• Mode unresolved → execute Step 1.3 and ask the user.
• Missing workflow file → stop and report the missing path (references/mode-<mode>.md).
• Missing tool integration (Excalidraw:*, visualize:*, HeyGenverse:*) → report the specific missing integration and ask whether to proceed with an alternative mode.
• Missing GEMINI_API_KEY (mode infographic only) → stop and ask for the key before continuing.
• Content acquisition fails (empty, unreadable, blocked URL) → report the specific failure and request a different source.