A compact educational DNA-to-RNA-to-protein information-flow map — rendered editable SVG example

Create editable pathway maps with checked node links, explicit interaction types and evidence notes. Validate unique node IDs, occupied grid cells, edge endpoints and interaction types. Render activation, inhibition, conversion and tentative association with different line semantics and preserve every source note. PopNow imagery is optional; the editable vector build works without a key.

Uses PopNow for
Images
Needs
Python 3

The skill is free. Optional AI images, video and sound are quoted for your approval before generation. API-key calls use your separate API balance in USD; generation through ChatGPT or Claude connected via OAuth/MCP uses your website credits.

v1.0.1 · Updated Oct 24, 2026 · 32 KB · Use it for personal and client work; please don't resell or share the package.

What you get

  1. Editable SVG with live labels and named vector groups

  2. HTML preview, source JSON and a validation report

  3. Three distinct rendered examples with domain checks

  4. Optional PopNow imagery after a quoted API USD approval

Good for

  • Create editable pathway maps with checked node links, explicit interaction types and evidence notes.
  • Teams that need exact labels, documented evidence and editable handoff files

Not for

  • Not pathway discovery, molecular simulation or clinical guidance; supplied interactions require domain review. Abstract examples are labeled as illustrative.
  • Replacing expert review with a generated visual

How to use it

You say

  • Use the PopNow skill "Biological Pathway Diagram" (biological-pathway-diagram) for this: Create editable pathway maps with checked node links, explicit interaction types and evidence notes. Use my supplied data and keep the SVG editable.

Then try

  • Check the units, labels and sources before the final render.

  • Make a second composition and quote optional PopNow imagery first.

What to have ready

  • A title, context, labeled nodes with layer/row positions, typed edges with source notes, and a source register.
  • Verified sources and an existing DESIGN.md when available
  • Final canvas, audience and permitted visual assets

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Questions

What input is required?

A title, context, labeled nodes with layer/row positions, typed edges with source notes, and a source register.

What is actually validated?

Validate unique node IDs, occupied grid cells, edge endpoints and interaction types. Render activation, inhibition, conversion and tentative association with different line semantics and preserve every source note.

Can I edit the result?

Yes. The SVG contains text and named vector groups. You can also edit the JSON and rebuild all outputs with the bundled Python script.

Does this require paid generation?

No. The local vector version is complete without a key. Optional PopNow imagery requires a live quote and explicit API USD budget approval.