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Processing Capacity Planner

该 Skill 面向日常工作量运维场景,接收含 record_count 与 deadline_minutes 的 workload_note,选择并返回字符串形式的 processing_profile。需在已安装目录用 Python 3.10 及以上执行 python scripts/run.py --input 传入请求 JSON,实现见 scripts/operation.py,校验见 …

wxt-ai
wxt-ai
热度 40.11
最近更新 2026-10-05 21:30:00
分类:效率依赖:代码执行 / 读写文件应用场景:工作流 / 数据处理

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 processing-capacity-profile-identifier
Metadata
name
processing-capacity-profile-identifier
description
Select a processing profile.
version
1.1.1
metadata
{"openclaw":{"skillKey":"processing-capacity-profile-identifier"}}

Processing Capacity Planner

Use this skill for routine workload operations work when the user asks to select a processing profile.

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: workload_note

Batch workload, capacity brief, or operations request.

Accepted value: object with record_count, deadline_minutes.

Output

Field: processing_profile

Return a concise processing profile for the user's current request in the requested output field. The returned value is a string.

Example Request

Use the supplied workload_note to select a processing profile.
Return the result in processing_profile.

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.