hubspot/agent-cli-skills

custom-object-management

Discover, create, update, and delete custom CRM object schemas.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/hubspot/agent-cli-skills --skill custom-object-management

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Source of truth

hubspot schemas --help is authoritative. Subcommands: list, get, create, update (metadata only), delete (destructive). schemas list/get/create/update work under OAuth login or a service key; schemas delete is service-key-only (AppTokenOnly) — set HUBSPOT_ACCESS_TOKEN. Read bulk-operations/SKILL.md first — every command here uses its JSONL conventions, and schemas delete uses its dry-run / digest / confirm flow.

Discover existing schemas

bash
hubspot schemas list                                       # JSONL: name, label, singular, objectTypeId, source
hubspot schemas list | jq 'select(.source=="custom")'      # custom only
hubspot objects types | jq -c 'select(.source=="custom")'  # same set, also shown to confirm `--type` resolves

name is what every other command takes. objectTypeId (e.g. 2-12345678) is only needed for workflow PLATFORM_FLOW targets.

Inspect one schema

bash
hubspot schemas get --type pets

Returns the full definition — properties, associations, labels, requiredProperties, primaryDisplayProperty, fullyQualifiedName. Reshape with jq as needed (see bulk-operations/resources/json-patterns.md).

Create a schema

Build a JSON body and pipe it (or pass --file). Minimal valid body:

json
{
  "name": "equipment",
  "labels": {"singular": "Equipment", "plural": "Equipment"},
  "primaryDisplayProperty": "equipment_name",
  "requiredProperties": ["equipment_name"],
  "properties": [
    {"name": "equipment_name", "label": "Name", "type": "string", "fieldType": "text"}
  ],
  "associatedObjects": ["contacts"]
}
bash
cat equipment-schema.json | hubspot schemas create --dry-run   # preview
hubspot schemas create --file equipment-schema.json            # execute

Add more properties later with hubspot properties create --type <name> ....

Update schema metadata

update patches labels / description only. Property edits go through hubspot properties.

bash
echo '{"labels":{"singular":"Device","plural":"Devices"}}' | hubspot schemas update --type equipment

update also supports --dry-run → digest → re-run with --digest --confirm <name> (see bulk-operations/SKILL.md for the pattern).

Delete a schema (destructive)

Schema delete is destructive and irreversible — it permanently removes the schema and every record of that type. It is gated as MetadataDestroy: every delete requires --dry-run first, then re-run with --digest <hash> --confirm <name> within 5 minutes.

Follow the three-step flow documented in bulk-operations/SKILL.md ("Safe destructive workflow"). For schemas, the confirm value is the schema name:

bash
hubspot schemas delete --type equipment --dry-run
# → digest=blast-... ; apply_command_hint shows: --digest <hash> --confirm 'equipment'
hubspot schemas delete --type equipment --digest <hash> --confirm equipment

Check hubspot history --since 24h --kind MetadataDestroy to audit recent schema deletes.

Using the schema after creation

Once a schema exists, all hubspot objects ... commands accept its name as --type (e.g. --type pets). Record CRUD, search, association, bulk upsert — all identical to standard objects. Don't re-implement those flows here; see bulk-operations/SKILL.md and crm-lookup.

Verwandte Aufgaben

aus demselben Repository

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