agentleFS
edutruledutrul/drupal-ai/.claude/skills/drupal-caching/SKILL.md

drupal-caching

Skill71 starsChanged 7 months agoMITView on GitHub

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

The file

Files
SKILL.md

Drupal Caching

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

Cache Metadata in Render Arrays

$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

$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

use Drupal\Core\Cache\CacheBackendInterface;

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

CacheableDependencyInterface

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

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.