Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

standardize-geo-values标准化地理值

Agent Skill

standardize-geo-values 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

186

周安装

8

GitHub Stars

14

下载量

65
CodexClaudeCursorGemini CLI

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

unknown

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:standardize-geo-values(标准化地理值)
来源仓库:https://github.com/tomgranot/hubspot-admin-skills
仓库路径:skills/standardize-geo-values
安装命令:
npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill standardize-geo-values
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill standardize-geo-values

简介

用于查找、检索和筛选相关信息。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 安装前需确认权限范围和维护状态,注意是否触发联网或文件操作。
  • standardize-geo-values 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Standardize Country and State/Region Values

Convert inconsistent geographic formats (e.g., "US", "USA", "U.S." vs "United States"; "NY" vs "New York") to a single standard format across all contact and company records.

Why This Matters

Inconsistent geo values break geographic segmentation. A list filtering for "United States" will miss contacts labeled "US" or "USA". For B2B companies running region-specific campaigns or reporting by geography, this means inaccurate audience sizes and missed contacts.

Prerequisites

  • Phase 1 hygiene processes completed (invalid/deleted contacts removed first)
  • Access to Contacts and Companies views with bulk edit permissions
  • Key constraint: If your CRM integrates with another system (e.g., Salesforce, marketing automation), agree on the standard format (full names vs. ISO codes) with that system's admin BEFORE standardizing. Mismatched formats between synced systems will cause ongoing data conflicts.
  • Decision on standard format. This skill recommends:

- Countries: Full names (e.g., "United States", "United Kingdom") - States (contact level): Full names (e.g., "New York", "California") - This matches HubSpot's default form behavior

Interview: Gather Requirements

Before executing, collect the following information from the user:

Q1: What format do you prefer for country values -- full names (United States) or ISO codes (US)?

  • Examples: Full names ("United States", "United Kingdom"), ISO 2-letter codes ("US", "GB"), ISO 3-letter codes ("USA", "GBR")
  • Default: Full names (e.g., "United States", "United Kingdom") -- this matches HubSpot's default form behavior

Q2: Do you have a Salesforce or other CRM integration that requires a specific format?

  • Examples: "Yes, Salesforce uses ISO 2-letter codes", "Yes, our ERP uses full country names", "No integrations to worry about"
  • Default: No integration constraints -- use HubSpot's default full-name format

Plan

  1. Audit all non-standard country and state values (before state)
  2. Build a mapping table of variants to standard values
  3. Batch update via API script or manual bulk edit in HubSpot UI
  4. Prevent future inconsistencies by configuring property types and forms
  5. Verify all values are standardized (after state)

Before State

API Audit Script

import os
from hubspot import HubSpot
from dotenv import load_dotenv

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

# Check for common country variants
variants = ["US", "USA", "U.S.", "U.S.A.", "America"]
for variant in variants:
    result = api_client.crm.contacts.search_api.do_search(
        public_object_search_request={
            "filterGroups": [{
                "filters": [{
                    "propertyName": "country",
                    "operator": "EQ",
                    "value": variant
                }]
            }],
            "limit": 0
        }
    )
    if result.total > 0:
        print(f"Contacts with country = '{variant}': {result.total}")

# Repeat for companies
for variant in variants:
    result = api_client.crm.companies.search_api.do_search(
        public_object_search_request={
            "filterGroups": [{
                "filters": [{
                    "propertyName": "country",
                    "operator": "EQ",
                    "value": variant
                }]
            }],
            "limit": 0
        }
    )
    if result.total > 0:
        print(f"Companies with country = '{variant}': {result.total}")

Manual Audit

  1. Go to Contacts > filter by Country/Region > is any of > "US". Note count.
  2. Repeat for "USA", "U.S.", and any other suspected variants.
  3. Repeat at the company level.
  4. For states: filter by State/Region > is any of > "NY", "CA", "TX" to check for abbreviation variants.

Record all variant counts as your baseline.

Execute

Method 1: API Batch Update (Recommended for Large Volumes)

# Pattern: Build mapping table, search for each variant, batch update

COUNTRY_MAPPING = {
    "US": "United States",
    "USA": "United States",
    "U.S.": "United States",
    "U.S.A.": "United States",
    "America": "United States",
    "UK": "United Kingdom",
    "GB": "United Kingdom",
    "Great Britain": "United Kingdom",
    # Add other mappings as discovered in your audit
}

STATE_MAPPING = {
    "NY": "New York",
    "CA": "California",
    "TX": "Texas",
    "FL": "Florida",
    "IL": "Illinois",
    "PA": "Pennsylvania",
    "OH": "Ohio",
    "GA": "Georgia",
    "NC": "North Carolina",
    "NJ": "New Jersey",
    "VA": "Virginia",
    "WA": "Washington",
    "MA": "Massachusetts",
    "AZ": "Arizona",
    "CO": "Colorado",
    "MD": "Maryland",
    "MN": "Minnesota",
    "MO": "Missouri",
    "WI": "Wisconsin",
    "CT": "Connecticut",
    "OR": "Oregon",
    "SC": "South Carolina",
    "LA": "Louisiana",
    # Add all 50 US states + territories as needed
}

# For each mapping:
# 1. Search for contacts with the variant value
# 2. Collect all matching contact IDs (paginate if > 100)
# 3. Batch update using crm.contacts.batch_api.update
# 4. Repeat for companies using crm.companies

API notes:

  • Search API caps at 10,000 results per query. Unlikely to hit this for geo variants, but segment if needed.
  • Batch update accepts up to 100 records per call.
  • Rate limit: 100 requests per 10 seconds.

Method 2: Manual Bulk Edit in HubSpot UI

For each variant:

  1. Go to Contacts > Lists > Create list (static)
  2. Filter: Country/Region > is any of > [variant value]
  3. Save list
  4. Select all contacts in the list
  5. Click Edit > Country/Region > type the standard value > Update
  6. Repeat for each variant

For companies, do the same from the Companies view using filters and bulk edit.

Prevent Future Inconsistencies

After standardizing existing data:

  1. Go to Settings > Properties > Contact properties
  2. Search for Country/Region
  3. Verify it is a Dropdown select field (not free text). If it is free text, consider converting to dropdown with standard country names.
  4. Repeat for State/Region (though state may need values for multiple countries, making a dropdown less practical)
  5. Check all active Forms (Marketing > Forms):

- Verify country and state fields are dropdown fields, not free text inputs - Verify dropdown values match your standardized format

  1. Check any import templates used by the team to ensure they reference standard values

After State

# Re-run the same variant checks from before state
variants = ["US", "USA", "U.S.", "U.S.A.", "America"]
for variant in variants:
    result = api_client.crm.contacts.search_api.do_search(
        public_object_search_request={
            "filterGroups": [{
                "filters": [{
                    "propertyName": "country",
                    "operator": "EQ",
                    "value": variant
                }]
            }],
            "limit": 0
        }
    )
    assert result.total == 0, f"Still have {result.total} contacts with '{variant}'"
    print(f"Contacts with country = '{variant}': {result.total} (should be 0)")

Verification checklist:

  1. All known variant values return 0 contacts and 0 companies
  2. The standard value count should equal the sum of (previous standard count + all variant counts)
  3. Spot-check 10 contacts that were in cleanup lists to verify values are now standardized
  4. For states: filter by common abbreviations (NY, CA, TX) and confirm 0 results
  5. Forms are configured to prevent future inconsistencies

Key Technical Learnings

  • Do not touch blank/empty values in this process. Filling in missing country data is a separate enrichment task. This process only standardizes existing values that are non-empty but non-standard.
  • Coordinate with integrated systems first. If HubSpot syncs with Salesforce or another CRM, mismatched formats cause sync conflicts. Agree on the standard format before changing anything.
  • Company-level state abbreviations may be acceptable. HubSpot's default behavior for company State/Region often uses abbreviations. Decide whether to standardize company states or leave them as-is.
  • Root cause matters as much as cleanup. The variants were likely created by imports, API integrations, or free-text form fields that bypassed dropdowns. Fixing the root cause (forms, import templates, integration mappings) is as important as fixing existing data.
  • Export before editing (optional safety measure). Before bulk editing, export affected contacts/companies with their current values as a backup CSV.
  • Bulk edit limits vary by plan. HubSpot may limit bulk edits to certain batch sizes (100-250 at a time). For large numbers, you may need to repeat the select-all-and-edit process multiple times, or use the API approach instead.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

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

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

Codex

33.97%
按下载量换算22

Claude

28.89%
按下载量换算19

Cursor

18.87%
按下载量换算12

Gemini CLI

9.8%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills