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Agent Skill · 研究检索

standardize-geo-values(标准化地理值)

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。

standardize-geo-values 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 72,863。

总安装 186周安装 8GitHub Stars 14下载 65核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/standardize-geo-values

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill standar…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

standardize-geo-values 怎么安装?

在终端执行 npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill standardize-geo-v…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

standardize-geo-values 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

standardize-geo-values 需要什么权限?

权限级别是需要联网。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。

standardize-geo-values 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

standardize-geo-values 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 14 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

standardize-geo-values 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
standardize-geo-values

标准化地理值 · 本页

18614需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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。目前只有一个公开来源,建议同时核对源仓库。

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