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cleanup-deals清理优惠

Agent Skill

cleanup-deals 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,345

周安装

138

GitHub Stars

公开资料未说明

下载量

1,093
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cleanup-deals(清理优惠)
来源仓库:https://github.com/tomgranot/cleanup-deals
安装命令:
openclaw skills install cleanup-deals
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install cleanup-deals

简介

标准化交易渠道,删除测试交易,并解决缺少金额或结束日期的交易。如果适用,与 Salesforce 同步进行协调。

SKILL.md

name
cleanup-deals
description
Standardize deal pipelines, remove test deals, and address deals with missing amounts or close dates. Coordinates with Salesforce sync if applicable.
license
MIT
metadata
author
tomgranot
version
1.0
category
ongoing-maintenance

Cleanup Deals

Standardize deal data to make pipeline reporting accurate. Test deals, missing amounts, and stale opportunities distort forecasts and pipeline metrics.

Prerequisites

  • HubSpot API token in .env
  • Python with hubspot-api-client installed via uv
  • Knowledge of which deal pipelines are active and which are synced from Salesforce

Important: Salesforce Sync Considerations

If deals are synced from Salesforce:

  • Do NOT delete or modify synced deals without coordinating with the Salesforce admin.
  • Changes in HubSpot may sync back to Salesforce and cause data loss.
  • Identify synced deals by checking for the hs_salesforceopportunityid property.

Step-by-Step Instructions

Stage 1: Before — Audit Deal Data

Pull deal metrics via the API:

from hubspot import HubSpot
from hubspot.crm.deals import PublicObjectSearchRequest

api_client = HubSpot(access_token=os.getenv("HUBSPOT_API_TOKEN"))

# Deals missing amount
no_amount = PublicObjectSearchRequest(
    filter_groups=[{
        "filters": [{
            "propertyName": "amount",
            "operator": "NOT_HAS_PROPERTY"
        }]
    }]
)

# Deals missing close date
no_close = PublicObjectSearchRequest(
    filter_groups=[{
        "filters": [{
            "propertyName": "closedate",
            "operator": "NOT_HAS_PROPERTY"
        }]
    }]
)

Record: total deals, deals per pipeline stage, deals missing amount, deals missing close date, stale deals (open with no activity in 60+ days).

Stage 2: Execute — Clean Up

  1. Delete test deals — search for deals with names containing "test", "demo", "sample", or with amount = $0 and no associated contacts.
  2. Address missing amounts — export deals without amount and work with sales to fill in values or mark as lost.
  3. Close stale deals — deals open with no activity in 90+ days should be reviewed with the deal owner. Set to "Closed Lost" if abandoned.
  4. Standardize pipeline stages — ensure all pipelines have consistent stage names and probability percentages.
  5. Remove unused pipelines — if a pipeline has zero active deals and is not in use, archive or delete it.

Stage 3: After — Verify

  1. Re-run the deal audit queries. Confirm:

- Test deals removed - Missing amount count decreased - Stale deal count decreased

  1. Check pipeline reports for accuracy.

Stage 4: Rollback

  • Deleted deals can be restored from HubSpot's recycling bin within 90 days.
  • Stage changes and property updates can be reverted manually but there is no bulk undo.
  • For Salesforce-synced deals, check the Salesforce recycle bin as well.

Tips

  • Establish a deal hygiene rule: deals without activity for 60 days get an automated reminder to the owner (build a simple workflow).
  • Require amount and closedate as mandatory deal properties to prevent future gaps.

适合场景

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02

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03

需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

70.82%
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安全审计

VirusTotal

通过

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可疑

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权限和风险

敏感数据

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安装前确认

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