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Plannotator Visual Explainer

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backnotprop
plannotator-visual-explainer

Generate self-contained HTML visualizations with Plannotator theming. Use for implementation plans, PR explainers, architecture diagrams, data tables, slide decks, and any visual explanation of technical concepts. Plans and PR explainers follow Plannotator's prescriptive approach; all other visual content delegates to nicobailon/visual-explainer.

Overview

Publisherbacknotprop
Repositoryplannotator
Skill nameplannotator-visual-explainer
Stars
8.8K
Forks
658
Bundled files
6
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by backnotprop on GitHub. Read the source before you install it.

Installation

Install the Plannotator Visual Explainer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/backnotprop/plannotator.git /tmp/plannotator
mkdir -p .claude/skills
cp -r /tmp/plannotator/apps/skills/extra/plannotator-visual-explainer .claude/skills/plannotator-visual-explainer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plannotator Visual Explainer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Plannotator Visual Explainer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Plannotator Visual Explainer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Plannotator Visual Explainer

Three paths depending on content type. Each has its own references and structure.

Route by content type

Implementation plan, design doc, or proposal → Follow the Plan path. Read references/design-system.md and references/svg-patterns.md. Prescriptive structure.

PR explainer, diff review, or code change walkthrough → Follow the PR path. Read references/design-system.md and references/pr-components.md. Prescriptive structure.

Everything else (architecture diagrams, data tables, slide decks, project recaps, general visual explanations) → Follow the Visual explainer path. Delegates to nicobailon/visual-explainer with Plannotator theme tokens.

Delivery

Always deliver via Plannotator's annotation UI. Do NOT use open or xdg-open.

For any deliverable that uses Mermaid, render every diagram with Mermaid 12 in both the light and dark palettes before opening the annotation UI. Rendering is a hard gate: an exception, empty SVG, or error output such as aria-roledescription="error" or Syntax error in text means the explainer is not deliverable. Fix the diagram or theme configuration and rerun both palettes until every SVG passes.

For zoomable diagram shells, additionally zoom to the maximum and pan to all extremes in both palettes before delivering: the figure caption must stay fully legible throughout (see references/diagram-shell.md).

Plans/proposals (user should approve/deny):

bash
plannotator annotate <file> --gate

Everything else (informational):

bash
plannotator annotate <file>

Plan path

For implementation plans, design docs, feature specs, migration guides, and proposals.

Before generating, read:

  1. references/design-system.md — Plannotator theme tokens, typography, component patterns
  2. references/svg-patterns.md — inline SVG building blocks for architecture diagrams, flowcharts, data flow

Document structure (in order, pick what fits):

  1. Header — eyebrow label (mono, uppercase), title (serif, large), prompt box (the original brief)
  2. Summary strip — 3-5 stat cards showing key numbers at a glance (components, endpoints, tables, etc.)
  3. Milestones / timeline — vertical timeline showing phases without time estimates. Phases show sequence and dependencies, not duration.
  4. Architecture / data flow — inline SVG diagram. Use for 3+ interacting components. Highlighted boxes for new components, dashed arrows for async paths.
  5. Mockups — build UI mockups in HTML/CSS directly, not as descriptions
  6. Key code — dark-theme code blocks with syntax highlighting. Only architecturally significant interfaces/schemas — not every function.
  7. Risks & mitigations — table with severity badges (HIGH/MED/LOW)
  8. Open questions — callout cards with decision owner ("Decide with: backend team")

Not every plan needs every section. Skip what doesn't serve the content. Never include time estimates, boilerplate sections, or exhaustive file lists.

Adapt to the task: Backend → lead with data flow. Frontend → lead with mockups. Refactoring → lead with before/after diagrams. Infrastructure → lead with architecture.

Quality bar: The plan answers "what, why, and how" within 30 seconds of reading. Whitespace is a feature — one idea per viewport.


PR path

For PR walkthroughs, diff reviews, code change explainers, and reviewer guides.

Before generating, read:

  1. references/design-system.md — Plannotator theme tokens, typography, component patterns
  2. references/pr-components.md — diff rendering, review comment bubbles, risk chips, file cards, before/after panels

Document structure (in order, pick what fits):

  1. Header — PR title, meta strip (file count, +/- lines, branch, author)
  2. TL;DR — bordered card with primary accent left border. 2-3 sentences. Readers who see nothing else should get the gist.
  3. Why — motivation and before/after comparison (two-column grid)
  4. File tour — collapsible cards per file. Each has: file path + badge (NEW/MOD/DEL) + line stats, a "why" paragraph, and important diff hunks. High-risk files expanded, safe files collapsed.
  5. Risk map — visual chips showing which files need careful review vs. which are mechanical. Three tiers: attention (destructive), medium (warning), safe (success).
  6. Where to focus — numbered callout cards. Each names a file/function and describes the concern.
  7. Test plan — checkbox-style verification checklist
  8. Rollout (if applicable) — phased deployment with feature flags

Use Pierre diffs via CDN for syntax-highlighted inline diffs — see references/pr-components.md for the pattern.


Visual explainer path

For architecture diagrams, data tables, slide decks, project recaps, comparisons, and any other visual explanation.

Before generating:

  1. Ensure visual-explainer is installed:
    • Check: ~/.claude/skills/visual-explainer/SKILL.md or ~/.agents/skills/visual-explainer/SKILL.md
    • If not found: npx skills add nicobailon/visual-explainer -g --yes
  2. Read visual-explainer's SKILL.md (workflow, diagram types, anti-slop rules)
  3. Read the relevant visual-explainer references and templates for your content type
  4. Read references/theme-override.md — Plannotator tokens replacing Nico's palettes
  5. For zoomable Mermaid diagrams with controls and a caption: read references/diagram-shell.md and copy its shell — do not hand-roll viewport, canvas, or caption markup

Follow visual-explainer's structure, component classes (.ve-card, .kpi-card, .pipeline), and anti-slop rules. Overrides are the color/typography layer — Plannotator tokens instead of Nico's custom palettes — plus the zoomable diagram shell in references/diagram-shell.md when the deliverable has one.


Design philosophy (all paths)

  • Whitespace is a feature. Generous padding, large section gaps. If cramped, add space — don't shrink text.
  • One idea per viewport. Hero section, then diagram, then detail grid — not all crammed together.
  • Show, don't describe. A timeline shows sequencing. A diagram shows relationships. A code block shows the interface.
  • No time estimates. Timelines show phases and dependencies. Never attach hour/day estimates.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Plannotator Visual Explainer AI skill do?

Generate self-contained HTML visualizations with Plannotator theming. Use for implementation plans, PR explainers, architecture diagrams, data tables, slide decks, and any visual explanation of technical concepts. Plans and PR explainers follow Plannotator's prescriptive approach; all other visual content delegates to nicobailon/visual-explainer.

Why use Plannotator Visual Explainer on TypingMind?

Because you install it once and use it with any model. Plannotator Visual Explainer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Plannotator Visual Explainer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backnotprop/plannotator/tree/main/apps/skills/extra/plannotator-visual-explainer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Plannotator Visual Explainer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Plannotator Visual Explainer?

As many as you like. As long as a model supports skills, you can use Plannotator Visual Explainer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Plannotator Visual Explainer AI skill free?

Yes. It is published on GitHub by backnotprop under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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