Support Intake Digest

Prepare a support intake digest.

Wxt-ai

@wxt-ai

What This Skill Does

Extracts a support-case marker from a given intake snippet or escalation note. Returns a concise summary marker for the user's request.

Replaces manual scanning of support notes to find case identifiers by automatically extracting the marker from the text.

When to Use It

  • Extract a case marker from a support intake snippet
  • Digest an escalation note to identify the follow-up case
  • Parse a customer follow-up excerpt for the case reference
  • Identify the support-case marker in a handoff record update request
  • Summarize a support intake by returning the case marker

Install

$ openclaw skills install @wxt-ai/support-followup-marker-identifier

Support Intake Digest

Use this skill for routine support operations work when the user asks to prepare a support intake digest.

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: snippet

Support intake message with case, priority, and subject fields.

Accepted value: string.

Output

Field: support_digest

Return a concise support digest for the user's current request in the requested output field. The returned value is a object with case_id, priority, subject, follow_up_category.

Example Request

Use the supplied snippet to prepare a support intake digest.
Return the result in support_digest.

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

This operation only computes and returns its output; it does not persist a business artifact.

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. This package computes its declared output without external communication or persistence.

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