Portable Text Serialization logo

Portable Text Serialization

Organization
sanity-io
portable-text-serialization

Render and serialize Portable Text to React, Svelte, Vue, Astro, HTML, Markdown, and plain text. Use when implementing Portable Text rendering in any frontend framework, building custom serializers for non-standard block types, converting Portable Text to HTML strings server-side, converting Portable Text to Markdown, extracting plain text from Portable Text, or troubleshooting rendering issues with marks, blocks, lists, or custom types.

Overview

Publishersanity-io
Repositoryagent-toolkit
Skill nameportable-text-serialization
Stars
184
Forks
28
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

    Published by sanity-io on GitHub. Read the source before you install it.

Installation

Install the Portable Text Serialization 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/sanity-io/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/portable-text-serialization .claude/skills/portable-text-serialization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Portable Text Serialization 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 Portable Text Serialization 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 Portable Text Serialization 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.

Portable Text Serialization

Render Portable Text content across frameworks using the @portabletext/* library family. Each library follows the same component-mapping pattern: you provide a components object that maps PT node types to framework-specific renderers.

Portable Text Structure (Quick Reference)

PT is an array of blocks. Each block has _type, optional style, children (spans), markDefs, listItem, and level.

Root array
├── block (_type: "block")
│   ├── style: "normal" | "h1" | "h2" | "blockquote" | ...
│   ├── children: [span, span, ...]
│   │   └── span: { _type: "span", text: "...", marks: ["strong", "<markDefKey>"] }
│   ├── markDefs: [{ _key, _type: "link", href: "..." }, ...]
│   ├── listItem: "bullet" | "number" (optional)
│   └── level: 1, 2, 3... (optional, for nested lists)
├── custom block (_type: "image" | "code" | any custom type)
└── ...more blocks

Marks come in two forms:

  • Decorators: string values in marks[] like "strong", "em", "underline", "code"
  • Annotations: keys in marks[] referencing entries in markDefs[] (e.g., links, internal references)

Component Mapping Pattern (All Frameworks)

Every @portabletext/* library accepts a components object with these keys:

KeyRendersProps/Data
typesCustom block/inline types (image, code, CTA)value (the block data)
marksDecorators + annotationschildren + value (mark data)
blockBlock styles (h1, normal, blockquote)children
listList wrappers (ul, ol)children
listItemList itemschildren
hardBreakLine breaks within a block

Framework-Specific Rules

Read the rule file matching your framework:

  • React / Next.js: rules/react.md@portabletext/react or next-sanity
  • Svelte / SvelteKit: rules/svelte.md@portabletext/svelte
  • Vue / Nuxt: rules/vue.md@portabletext/vue
  • Astro: rules/astro.mdastro-portabletext
  • HTML (server-side): rules/html.md@portabletext/to-html
  • Markdown: rules/markdown.md@portabletext/markdown
  • Plain text extraction: rules/plain-text.md@portabletext/toolkit

Additional Community Serializers

These are listed on portabletext.org but don't have dedicated rule files:

TargetPackage
React Native@portabletext/react-native-portabletext
React PDF@portabletext/react-pdf-portabletext
Solidsolid-portabletext
Qwikportabletext-qwik
Shopify Liquidportable-text-to-liquid
PHPsanity-php (SanityBlockContent class)
Pythonportabletext-html
C# / .NETdotnet-portable-text
Dart / Flutterflutter_sanity_portable_text

Common Patterns (All Frameworks)

Custom Types Need Explicit Components

PT renderers only handle standard blocks by default. Custom types (image, code, callToAction, etc.) require explicit component mappings — they won't render otherwise.

Keep Components Object Stable

In React/Vue, define components outside the render function or memoize it. Recreating on every render causes unnecessary re-renders.

Handle Missing Components Gracefully

All libraries accept onMissingComponent to control behavior when encountering unknown types:

  • false — suppress warnings
  • Custom function — log or report

Querying PT with GROQ

Always expand references inside custom blocks:

groq
body[]{
  ...,
  _type == "image" => {
    ...,
    asset->
  },
  markDefs[]{
    ...,
    _type == "internalLink" => {
      ...,
      "slug": @.reference->slug.current
    }
  }
}

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 Portable Text Serialization AI skill do?

Render and serialize Portable Text to React, Svelte, Vue, Astro, HTML, Markdown, and plain text. Use when implementing Portable Text rendering in any frontend framework, building custom serializers for non-standard block types, converting Portable Text to HTML strings server-side, converting Portable Text to Markdown, extracting plain text from Portable Text, or troubleshooting rendering issues with marks, blocks, lists, or custom types.

Why use Portable Text Serialization on TypingMind?

Because you install it once and use it with any model. Portable Text Serialization 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 Portable Text Serialization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sanity-io/agent-toolkit/tree/main/skills/portable-text-serialization. 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 Portable Text Serialization?

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 Portable Text Serialization?

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

Is the Portable Text Serialization AI skill free?

Yes. It is published on GitHub by sanity-io 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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