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Agent Skill · 开发

language-config(语言配置)

language-config 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

language-config 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 15,377。

总安装 605周安装 26GitHub Stars 66下载 212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:language-config(语言配置)
来源仓库:https://github.com/indranilbanerjee/digital-marketing-pro
仓库路径:skills/language-config
安装命令:
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill language-config
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/indranilbanerjee/digital-marketing-pro --skill language-config

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue 和 Pull Request 信息。适合整理代码变更和协作事项。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。通过 GitHub 安装并使用 npx 命令激活。

需确认权限范围和维护状态,注意是否触发联网或文件读写。language-config 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/language-config

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/indranilbanerjee/digital-marketing-pro --skill…;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

    它需要调用外部服务,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

language-config 怎么安装?

在终端执行 npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill language-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

language-config 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。

language-config 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

language-config 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。

language-config 用的人多吗?

公开数据是累计安装 605 次,近一周安装 26 次,下载 212 次,GitHub 66 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。

language-config 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
language-config

语言配置 · 本页

60566调用外部服务未明确通过

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

/dm:language-config

Purpose

Configure and manage multilingual settings for the active brand. This command controls the language infrastructure that powers all translation, localization, and multilingual audit commands in the plugin. It sets the primary content language (the source language for all translations), secondary and target languages (which markets and languages the brand operates in), do-not-translate terms (brand names, product names, trademarked phrases, and technical terms that must appear identically in every language), preferred translation service per language (routing to the optimal MCP for each language pair), and locale-specific formatting rules (date, number, currency, measurement formats per market).

This configuration persists in the brand profile and is referenced by every multilingual command — translate, transcreate, multilingual-score, language-audit, hreflang-check, and any content creation targeting non-primary languages. Getting this configuration right upfront prevents repeated corrections downstream and ensures consistent multilingual output across all workflows.

Input Required

The user must provide (or will be prompted for):

  • Configuration action: What to do — view (display all current language settings), set-primary (change the primary/source language), add-language (add a secondary/target language), remove-language (remove a secondary language), add-dnt (add a do-not-translate term), remove-dnt (remove a do-not-translate term), set-translation-pref (set preferred translation service for a language), set-locale-format (set locale-specific formatting for a language-region), or reset (restore language config to defaults)
  • Language code (for language actions): ISO 639-1 language code with optional ISO 3166-1 region (e.g., en, en-US, de-DE, hi-IN, ja-JP, pt-BR). Required for set-primary, add-language, remove-language, set-translation-pref, and set-locale-format actions
  • Term (for DNT actions): The exact term to add or remove from the do-not-translate list. Required for add-dnt and remove-dnt. Can be a single term or a comma-separated list of terms to add/remove in batch
  • Translation service (for set-translation-pref): The preferred translation MCP for the specified language — one of deepl (best for European languages), sarvam-ai (best for Indic languages), google-cloud-translation (broadest language coverage), or lara-translate (best for marketing/creative context preservation). Required for set-translation-pref action
  • Formatting preferences (for set-locale-format): Locale-specific format settings — date_format (e.g., DD/MM/YYYY, MM/DD/YYYY, YYYY-MM-DD), number_format (decimal and thousands separators, e.g., "1,234.56" or "1.234,56"), currency_format (symbol position and spacing, e.g., "$1,234" or "1.234 EUR"), measurement (metric or imperial). Any subset can be provided; omitted fields retain current values

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with defaults.
  2. Read current language configuration: Extract the language object from profile.json containing primary_language, secondary_languages, content_languages, do_not_translate, translation_preferences, and locale_formatting. If the language object does not exist yet (new brand or pre-multilingual setup), initialize it with sensible defaults: primary_language set to "en", empty arrays for secondary_languages and do_not_translate, and empty objects for translation_preferences and locale_formatting.
  3. For view action: Display all current language settings in a clear, structured format — primary language with full name (e.g., "en-US: English (United States)"), all secondary languages with full names, the complete do-not-translate term list, translation service preferences per language (showing which MCP handles each), locale formatting rules per language-region, and a summary of which translation services are configured versus using auto-routing defaults.
  4. For set-primary action: Validate the provided language code against ISO 639-1 (and ISO 3166-1 if region included). Check that the language is supported by at least one configured translation MCP via language-router.py --action supported-languages. Update profile.json field language.primary_language to the new value. If the old primary language is not already in secondary_languages and the user has content in it, suggest adding it as a secondary language to maintain existing translations.
  5. For add-language / remove-language actions: Validate the language code. For add: append to both language.secondary_languages and language.content_languages arrays (avoiding duplicates). Recommend a translation service for the new language based on language-router.py routing logic (DeepL for European, Sarvam AI for Indic, Google Cloud for others) and prompt the user to confirm or override. Provide default locale formatting for the language-region. For remove: remove from both arrays, warn if content exists in this language (it will no longer be targeted by multilingual commands), and ask for confirmation before removing.
  6. For add-dnt / remove-dnt actions: Validate that terms are non-empty strings. For add: append each term to language.do_not_translate array, avoiding duplicates, and confirm each term added. For remove: remove matching terms (case-sensitive match), warn if a term is not found in the list. Display the updated do-not-translate list after changes. For batch operations (comma-separated input), process all terms and report results for each.
  7. For set-translation-pref action: Validate that the specified service is one of the supported translation MCPs: deepl, sarvam-ai, google-cloud-translation, lara-translate. Validate that the language code is in the brand's configured languages (primary or secondary). Set language.translation_preferences[language_code] to the specified service name. Note: this overrides the automatic routing in language-router.py for this specific language — the user's explicit preference takes priority over default routing logic.
  8. For set-locale-format action: Validate the language-region code. Set fields under language.locale_formatting[language_region] for the provided preferences (date_format, number_format, currency_format, measurement). If not all fields are provided, retain existing values for omitted fields. Provide format previews showing how dates, numbers, currency, and measurements will render with the configured format (e.g., "Date preview: 13/02/2026", "Currency preview: EUR 1.234,56").
  9. Save updated profile.json: Write the modified language configuration back to the brand profile. Validate JSON integrity before saving.
  10. Confirm changes with before/after comparison: Display a clear diff showing exactly what changed — old value versus new value for each modified field. For array changes (languages, DNT terms), show items added or removed. Provide a summary of the current complete language configuration after all changes.

Output

A structured language configuration result containing:

  • Current language configuration display: Complete view of all language settings after changes — primary language, secondary languages list with full names, content languages, do-not-translate terms, translation preferences per language, and locale formatting per language-region
  • Changes made: Before/after comparison for every modified field, clearly showing what was added, removed, or updated
  • Supported languages reference: Output from language-router.py --action supported-languages showing which languages are available and which translation service handles each, so the user can make informed decisions about adding languages
  • Translation service recommendation: For each configured language, the recommended translation MCP based on language-router.py routing logic, with the user's override noted where applicable — helping the user understand which service will handle their translations and why
  • Locale formatting defaults: For each configured language-region, the default date, number, currency, and measurement formats with preview examples — making it easy to verify formatting is correct before it affects content output

Agents Used

  • localization-specialist — Validates language codes against ISO standards, recommends optimal translation service routing per language based on quality benchmarks and language family expertise (DeepL for European, Sarvam AI for Indic, Google Cloud Translation for broad coverage, Lara Translate for marketing context), provides locale formatting defaults and previews per language-region, and ensures the language configuration is complete and consistent for downstream multilingual workflows

平台分布

Codex

31.73%
按下载量换算67

Claude

30.58%
按下载量换算65

Cursor

18.79%
按下载量换算40

Gemini CLI

9.35%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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