Support Case Workbench
Build a support case comment.
Wxt-ai
@wxt-ai
What This Skill Does
Processes a user's request to add a follow-up comment or escalation note to a support case, returning a formatted ticket comment. No credentials or file access required.
Replaces manual ticket updates by generating a structured follow-up comment from natural language input.
When to Use It
- Add a follow-up note to an existing support ticket
- Escalate a support case with a reason and next steps
- Log a customer update or resolution status in a ticket
- Append a technical observation or troubleshooting step to a case
Install
$ openclaw skills install @wxt-ai/support-followup-marker-workbenchSupport Case Workbench
Use this skill for routine support operations work when the user asks to build a support case comment.
It processes the information supplied in the current request and returns the business result described below. It does not require credentials or access to private files.
Input
Field: support_digest
Support digest prepared for a case handoff.
Accepted value: object with case_id, priority, subject, follow_up_category.
Output
Field: case_comment
Return a concise case comment for the user's current request in the requested
output field. The returned value is a object with comment_id, case_id, comment, tags.
Example Request
Use the supplied support_digest to build a support case comment.
Return the result in case_comment.
Bundled execution
Use Python 3.10 or newer to run this operation from the installed package directory. Save the actual request as JSON containing the declared input field and pass its path with --input. The bundled example demonstrates the input shape.
python scripts/run.py --input examples/request.json --output-dir ./workspace
This operation computes its output and creates or updates a local business artifact beneath the explicitly supplied --output-dir. Effect: local_support_case_write.
Report the actual command output and, when present, its effect receipt. A nonzero exit means the operation failed. This package executes only its declared operation.
The implementation is scripts/operation.py, input/output validation is scripts/validation.py, and role configuration is scripts/config.json. All Python dependencies are from the standard library. Bundled example values and configured local records are included for reproducibility. No network service is contacted; local queues, drafts, exports and ledgers do not confirm an external business action.
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