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Drupal Caching

Community
edutrul
drupal-caching

Drupal Cache API — cache tags, contexts, max-age, cache bins, invalidation, and adding cache metadata to render arrays.

Overview

Publisheredutrul
Repositorydrupal-ai
Skill namedrupal-caching
Stars
73
Forks
14
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Drupal Caching 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/edutrul/drupal-ai/tree/main/.claude/skills/drupal-caching
  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/edutrul/drupal-ai.git /tmp/drupal-ai
mkdir -p .claude/skills
cp -r /tmp/drupal-ai/.claude/skills/drupal-caching .claude/skills/drupal-caching
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Drupal Caching 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 Drupal Caching 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 Drupal Caching 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.

Drupal Caching

Always add cache metadata. Missing cache metadata causes stale content.

Cache Metadata in Render Arrays

php
$build['content'] = [
  '#markup' => $output,
  '#cache' => [
    'tags' => ['node:' . $node->id(), 'node_list'],
    'contexts' => ['user.permissions', 'url.query_args'],
    'max-age' => Cache::PERMANENT,
  ],
];

Cache Tags

TagInvalidated when
node:{nid}Node {nid} is saved/deleted
node_listAny node is created or deleted
user:{uid}User {uid} is saved
taxonomy_term:{tid}Term {tid} is saved
config:{name}Config object {name} is saved

Cache Contexts

ContextVaries by
user.permissionsUser's permissions (prefer over user)
user.rolesUser's roles
url.pathURL path
url.query_argsQuery parameters
languagesCurrent language

Reading/Writing Cache

php
$cached = $this->cacheBackend->get('my_module:my_key');
if ($cached !== FALSE) {
  return $cached->data;
}

$this->cacheBackend->set('my_module:my_key', $data, Cache::PERMANENT, ['node_list']);
$this->cacheBackend->set('my_module:my_key', $data, \Drupal::time()->getRequestTime() + 3600, ['node_list']);
$this->cacheBackend->delete('my_module:my_key');

Cache::invalidateTags(['node:123', 'node_list']);

Inject Cache Service

php
use Drupal\Core\Cache\CacheBackendInterface;

public function __construct(
  private readonly CacheBackendInterface $cacheBackend,
) {}
yaml
# services.yml
my_module.my_service:
  arguments: ['@cache.default']

CacheableDependencyInterface

php
$build['#cache']['tags'] = Cache::mergeTags(
  $build['#cache']['tags'] ?? [],
  $node->getCacheTags()
);

Frequently asked questions

What does the Drupal Caching AI skill do?

Drupal Cache API — cache tags, contexts, max-age, cache bins, invalidation, and adding cache metadata to render arrays.

Why use Drupal Caching on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/edutrul/drupal-ai/tree/main/.claude/skills/drupal-caching. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Drupal Caching?

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 Drupal Caching?

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

Is the Drupal Caching AI skill free?

Yes. It is published on GitHub by edutrul 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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