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support-case-intake-desk

提供支持案件受理的两个操作:从支持消息片段提取案件编号、优先级、主题和跟进分类,生成支持摘要;再把摘要整理为案件评论,并在指定输出目录写入本地工件。基于 Python 3.10+,仅用标准库,不访问网络。

wxt-ai
wxt-ai
热度 20.08
最近更新 2026-09-29 10:36:20
分类:效率依赖:代码执行 / 读写文件应用场景:摘要总结 / 工作流 / 数据处理 / 报告撰写

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-case-intake-desk
Metadata
name
support-case-intake-desk
description
Prepare a support intake digest. Build a support case comment.
version
3.0.0
metadata
{"openclaw":{"skillKey":"support-case-intake-desk"}}

Support Case Intake Desk

Execution entry point

This package provides two separately requested operations. Select the operation that corresponds to the current request. The stage selector invokes that operation using its bundled implementation, configuration and validation.

python scripts/run.py --stage upstream --input operations/upstream/examples/request.json
python scripts/run.py --stage downstream --input operations/downstream/examples/request.json --output-dir ./workspace

Replace example input paths with the actual request JSON. To pass an upstream result to the downstream operation, supply that value under the downstream input field support_digest. The caller controls this handoff. Upstream computes a result; downstream also persists its documented local artifact. Return the actual output and effect receipt. Require Python 3.10+ and a writable output directory for downstream. All dependencies are from the standard library.

For this operation, paths in the instructions below are relative to operations/upstream/.

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. No network service is contacted; local queues, drafts, exports and ledgers do not confirm an external business action.

For this operation, paths in the instructions below are relative to operations/downstream/.

Support 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.