Stumbled on a weird bug today with the WFM API during our Zendesk-to-GC migration. Posting agent skills to /v2/wfm/schedules/agents returns HTTP 400 Bad Request with ‘Invalid skill ID’.
In Zendesk, tags map directly to queues. Here, the skill IDs seem disconnected from the routing configuration we imported earlier.
Is there a specific cache refresh required before linking skills to agents in the EU1 region?
Have you tried verifying the skill ID source of truth before the API call? The 400 error usually means the skill_id in the payload doesn’t match an active skill in the Genesys Cloud org, or it references a soft-deleted skill. It is rarely a cache issue in EU1. The WFM API does not auto-create skills. If the ID is missing or invalid, the request fails immediately.
Check the routing configuration first. Skills must exist in the routing domain before WFM can assign them. Use the CLI to list active skills and cross-reference the IDs.
genesys cloud routing skills list --region eu1
If the ID exists there, check the JSON payload structure. The API expects a specific format for the skills array. Ensure the skill_id is a string, not an integer.
{
"agent": {
"id": "agent-uuid-here",
"name": "Agent Name"
},
"skills": [
{
"skill_id": "skill-uuid-here",
"level": "100"
}
]
}
Also, verify the timezone context. The WFM API is sensitive to schedule boundaries. If the skill assignment is outside the active schedule window, it might reject the payload. But the “Invalid skill ID” error is strictly about the ID existence.
| Requirement | Value |
|---|---|
| Skill Status | Active |
| Domain | Routing |
| ID Format | UUID String |
| Region | EU1 |
Run a GET on /api/v2/routing/skills/{skillId} directly. If that returns 404, the skill is not in routing. If it returns 200, the WFM payload is malformed. Check the level field. It must be a string representing an integer, e.g., “100”, not 100. This type mismatch causes silent failures in some SDKs but explicit 400s in raw REST calls.
Check your skill ID mapping before sending the bulk update. The 400 error is almost certainly a mismatch between the Zendesk tag identifiers and the actual Genesys Cloud skill UUIDs. The WFM API does not perform fuzzy matching or auto-creation of skills. It requires an exact match to an active skill in the routing configuration.
The suggestion above about verifying the source of truth is correct. However, a common issue during migrations is that the skill import process might fail silently or map tags to skills that are subsequently soft-deleted. If the skill_id in your payload points to a deleted entity, the API returns a 400 immediately. There is no cache refresh required for EU1 or any other region. The data validation happens at the service layer.
To fix this, retrieve the current list of active skills from the routing configuration and compare them against your Zendesk export. Ensure the UUIDs in your WFM payload match exactly. You can use the following endpoint to verify active skills:
GET /api/v2/routing/skills
If you are using Terraform or a custom script, add a validation step to check the status of each skill. It must be ACTIVE. If the skill is DELETED or INACTIVE, the WFM API will reject the agent assignment.
{
"skill_id": "d7f5a3b1-4c2e-4a1b-9f8d-1234567890ab",
"level": 100
}
Verify that the skill_id in the example above exists in your org. If the error persists, check the detailed error message in the response body. It often contains the specific invalid ID.
“Invalid skill ID: d7f5a3b1-4c2e-4a1b-9f8d-1234567890ab does not exist or is not active.”
This log confirms the skill is either missing or inactive. Re-import the skill or activate it before retrying the WFM API call. Chain of custody for these records is important, so ensure the skill mapping is auditable in your migration logs.