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Support Intake Digest

该 Skill 面向支持受理场景,接收含 case、priority、subject 字段的文本片段,经本地 Python 脚本校验与计算后返回支持摘要 support_digest(含 case_id、priority、subject、follow_up_category)。只计算不持久化,无外部通信,依赖标准库,随包提供示例输入与配置以复现。

wxt-ai
wxt-ai
热度 59.84
最近更新 2026-10-05 21:22:03
分类:效率依赖:代码执行 / 读写文件应用场景:数据处理 / 摘要总结

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add support-followup-marker-identifier
Metadata
name
support-followup-marker-identifier
description
Prepare a support intake digest.
version
1.1.1
metadata
{"openclaw":{"skillKey":"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.