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Templatical

Organization
templatical
templatical

Author Templatical email templates and integrate the Templatical email editor SDK. Use whenever the user wants to create, design, draft, mock up or edit a marketing, transactional or newsletter email — for example "make a product-launch email", "design a welcome email", "build an event invite", "draft an order-confirmation email", or "turn this copy into an email template" — even when they don't say "Templatical" or "JSON". Also use it for producing or editing Templatical template JSON that must validate against the block schema, for converting a template out of another email builder, and for opening a live preview in the real Templatical editor and updating it as the user prompts — triggered by intent such as "show it live", "preview it live", "open it in the editor" or "build this in live mode". Also covers the SDK itself (@templatical/editor): embedding, mounting, configuring, theming, extending or troubleshooting an integration, and answering "how do I" / "is it possible" questions about it.

Overview

Publishertemplatical
Repositorysdk
Skill nametemplatical
Stars
522
Forks
47
Bundled files
45
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 45 bundled files

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

  • Open source

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

Installation

Install the Templatical 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.
    https://github.com/templatical/sdk/tree/main/skills/templatical
  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/templatical/sdk.git /tmp/sdk
mkdir -p .claude/skills
cp -r /tmp/sdk/skills/templatical .claude/skills/templatical
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Templatical 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 Templatical 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 Templatical 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.

Templatical

Author Templatical email templates and integrate the @templatical/editor SDK that renders them, as one router over both jobs. An authoring session often ends by wiring its result into an application.

Is the request about a template — its content, design, correctness or output — or about the SDK — installing, mounting, configuring or debugging the editor in code?

Unmatched on the template side → build. Unmatched on the SDK side → docs.

Before the first command of a session, load reference/cli.md. It carries the invocation and the exit-code contract, and no other playbook repeats them.

reference/talking.md governs how you report back, whichever playbook ran.

ModeForPlaybook
buildWrite a template from a briefreference/build.md
editChange a template that already existsreference/edit.md
importConvert from another editorreference/import.md
validateCheck a template and read the resultreference/validate.md
exportRender MJML or HTMLreference/export.md
livePreview and co-edit in the browserreference/live.md
integrateMount the editor in an applicationreference/integrate.md
scaffoldWrite the integration into their repositoryreference/scaffold.md
diagnoseFix an integration that misbehavesreference/diagnose.md
docsAnswer a question from the SDK referencereference/docs.md

Before acting, load the one playbook that owns the request — its row above for an explicit or clearly implied mode, otherwise the default from the discrimination. Load one, not several; each playbook names what it consults.

Out of scope

  • Not a Cloud onboarding flow. initCloud() and its provider contracts are covered; signing up, issuing keys and plan entitlements happen in Cloud's own dashboard.
  • Never touches git. File changes are the user's to review and commit.

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 Templatical AI skill do?

Author Templatical email templates and integrate the Templatical email editor SDK. Use whenever the user wants to create, design, draft, mock up or edit a marketing, transactional or newsletter email — for example "make a product-launch email", "design a welcome email", "build an event invite", "draft an order-confirmation email", or "turn this copy into an email template" — even when they don't say "Templatical" or "JSON". Also use it for producing or editing Templatical template JSON that must validate against the block schema, for converting a template out of another email builder, and f...

Why use Templatical on TypingMind?

Because you install it once and use it with any model. Templatical 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 Templatical in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/templatical/sdk/tree/main/skills/templatical. 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 Templatical?

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 Templatical?

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

Is the Templatical AI skill free?

Yes. It is published on GitHub by templatical 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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