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Html Over Markdown

Community
happycapy-ai
html-over-markdown

Generate rich, self-contained HTML documents instead of Markdown when output needs visual hierarchy, diagrams, or interactivity. Use for specs, implementation plans, side-by-side design comparisons, PR writeups and code explainers, research and status and incident reports, slide decks, SVG flowcharts, and throwaway editors like triage boards, feature-flag editors, and prompt tuners. Prefer this skill whenever the user asks for a report, plan, or explainer they'll actually want to read — even if they don't explicitly say "HTML".

Overview

Publisherhappycapy-ai
RepositoryHappycapy-skills
Skill namehtml-over-markdown
Stars
138
Forks
30
Bundled files
5
LicenseMIT
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.

  • 5 bundled files

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

  • Open source

    Published by happycapy-ai on GitHub. Read the source before you install it.

Installation

Install the Html Over Markdown 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/happycapy-ai/Happycapy-skills.git /tmp/Happycapy-skills
mkdir -p .claude/skills
cp -r /tmp/Happycapy-skills/skills/html-over-markdown .claude/skills/html-over-markdown
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Html Over Markdown 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 Html Over Markdown 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 Html Over Markdown 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.

HTML Over Markdown

Produce a single self-contained .html file as the primary output format instead of Markdown.

Why this exists

Markdown flattens spatial information — diffs, dependency graphs, side-by-side comparisons — into linear text. It has no color, no diagrams, no interaction, and people rarely read past ~100 lines. HTML trades a document the user would skim for one they would actually read.

Concrete wins over Markdown:

  • Information density: tables, SVG, CSS, scripts, images — all in one file
  • Visual clarity: tabs, collapsible sections, responsive layout, typographic hierarchy
  • Sharing: one link, any browser, no special viewer
  • Two-way interaction: sliders, toggles, editors, and a copy-back-to-prompt loop
  • Expressiveness: no more ASCII diagrams or unicode color approximations

When to use vs. skip

Use this skill when the user asks for:

  • A spec, plan, proposal, brainstorm, or multi-option exploration
  • A PR writeup, code review, or code/feature explainer
  • A report — status, research, incident, weekly
  • A side-by-side comparison of designs, approaches, or benchmarks
  • A slide deck or visual walkthrough
  • A throwaway interactive editor (triage board, feature flags, prompt tuner)
  • Anything they'd "actually want to read" — even without the word HTML

Do NOT use this skill when:

  • The deliverable is a real .pdf / .docx / .pptx / .xlsx file → use those skills
  • The user wants a production web app (multi-file React/Vue/Next) → use frontend-design or artifacts-builder
  • The spec is Git-tracked and teammates need clean diffs → keep Markdown
  • The user wants a poster or visual artwork → use canvas-design
  • The answer is a one-paragraph reply → just answer

If unsure, read references/principles.md → "What this skill is NOT for".

Workflow

  1. Identify the scenario from the 5 families in the table below.
  2. Read the matching section in references/playbook.md for patterns and a prompt template.
  3. Pull reusable snippets from references/snippets.md (grids, diffs, SVG, sliders, export buttons).
  4. Start from assets/base-template.html — it has the default style already wired up. Copy it, then fill in.
  5. Write the result to ./outputs/<descriptive-kebab-case>.html and declare it in the <attachments> block as <file type="static">outputs/<name>.html</file>.
  6. Only if the HTML needs a real server (e.g., fetch, complex event handlers that fail on file://), run python -m http.server 8080 --directory outputs and /app/export-port.sh 8080. For plain static pages, skip this.

The 5 scenarios

#ScenarioTypical triggerSignature patterns
1Spec, Planning & Exploration"Help me plan…", "explore approaches…", "compare options"Side-by-side grid, labeled tradeoffs, mockups, data-flow SVG
2Code Review & PR"Explain this PR", "review this code", "help onboard a reviewer"Annotated diff with margin notes, severity chips, module graph
3Design & Prototype"Design system", "component variants", "prototype an animation"Variant matrix, color swatches, tunable sliders + Copy-as-CSS
4Report, Research & Explainer"Status report", "explain how X works", "incident writeup"TL;DR, collapsible sections, tabbed samples, SVG diagrams, timeline
5Custom Editor"Let me reorder…", "tune this config", "edit this prompt with live preview"Drag-drop or forms, live preview, required: Copy-as-{JSON,Prompt,Markdown} button

Open references/playbook.md and jump to the matching scenario for full patterns, structural templates, and prompt seeds.

The 5 principles (keep these in mind throughout)

  1. Self-contained: one .html, all CSS/JS/SVG inline. CDN links are OK; build steps are not.
  2. SVG, never ASCII: any diagram — flow, sequence, architecture, dependency — must be SVG.
  3. Spatial, not linear: if you'd use a bullet list for it in Markdown, think again. Options go in a grid, diffs go inline with margins, dependencies go in a graph.
  4. Export-to-prompt: any interactive control must have a button that writes something to the clipboard (JSON, Markdown, or a natural-language prompt) so the loop closes back into Claude Code.
  5. Readable at a glance: responsive, quiet palette, obvious hierarchy. Optimize for "opens file → understands in 10 seconds".

Full rationale, reasoning, and the default style blueprint are in references/principles.md.

Default style and output conventions

The default aesthetic is Anthropic warm-editorial — ivory #FAF9F5 background, clay #D97757 as the single accent, serif headings with mono uppercase eyebrows, 1.5px warm-gray borders. Full tokens, typography, and signature patterns live in references/design-language.md — read it before producing output.

The starter template in assets/base-template.html has the full palette wired up (--ivory, --clay, --oat, --olive, --rust, warm grays --g100…--g700, serif/sans/mono stacks, h1 with <em> in clay, callouts with clay stripe, mono chips).

Prefer adapting this template over writing new CSS from scratch. If the user references a design system of their own, mirror its tokens. If they ask explicitly for Anthropic brand styling, optionally combine with brand-guidelines.

File naming: ./outputs/<descriptive-kebab-case>.html. Pick a name that would make sense six months later — rate-limiter-explainer.html, not output.html.

A note on philosophy

The author of the underlying methodology deliberately warned against turning this into a rigid /html template skill, because the knowing-when-and-what matters more than the generation mechanics. This skill honors that: it teaches decision-making and patterns, bundles copy-paste snippets rather than generators, and trusts you to compose. Don't over-engineer — most of the time, the right move is to start from the base template, pick a scenario pattern, and write the thing.

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 Html Over Markdown AI skill do?

Generate rich, self-contained HTML documents instead of Markdown when output needs visual hierarchy, diagrams, or interactivity. Use for specs, implementation plans, side-by-side design comparisons, PR writeups and code explainers, research and status and incident reports, slide decks, SVG flowcharts, and throwaway editors like triage boards, feature-flag editors, and prompt tuners. Prefer this skill whenever the user asks for a report, plan, or explainer they'll actually want to read — even if they don't explicitly say "HTML".

Why use Html Over Markdown on TypingMind?

Because you install it once and use it with any model. Html Over Markdown 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 Html Over Markdown in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/html-over-markdown. 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 Html Over Markdown?

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 Html Over Markdown?

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

Is the Html Over Markdown AI skill free?

Yes. It is published on GitHub by happycapy-ai under the MIT 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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