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Official agent skill

Kibana I18n

by elastic in elastic/kibana

Add i18n to Kibana React components and server code using @kbn/i18n and @kbn/i18n-react.

OfficialCustom licenceAuto-check passedFrontend & Design

Install Kibana I18n

skills CLI
$ npx skills add elastic/kibana --skill kibana-i18n -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install elastic/kibana kibana-i18n --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/elastic/kibana.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/kibana-i18n .claude/skills/kibana-i18n && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
kibana-i18n
GitHub stars
21k
Token cost
~2.5k tokens
SKILL.md length
695 words
Files
1
Skills in repo
40
Repo updated
First seen
Licence
Custom licence

At a glance

Add i18n to Kibana React components and server code using @kbn/i18n and @kbn/i18n-react.

  • Internationalizing UI strings
  • SKILL.md covers Imports, API, Message ID Naming and React Formatting Components, plus 6 more sections
  • Calls node
  • Adding FormattedMessage

What it does

Kibana I18n is an agent skill from elastic/kibana, published by the product's own GitHub organization. Add i18n to Kibana React components and server code using @kbn/i18n and @kbn/i18n-react. Use when internationalizing UI strings, adding FormattedMessage, calling i18n.translate, naming message IDs, or working with Kibana translation files.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design, covering Internationalization, React components and Translation. It works with Elasticsearch and React. The repository describes itself as: Your window into all of your data.

When your agent uses it

  • Internationalizing UI strings
  • Adding FormattedMessage
  • Calling i18n.translate
  • Naming message IDs

Example prompts

  • “/kibana-i18n”

What it can do on your machine

Read from SKILL.md and the folder at commit 30ea56f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Kibana I18n loads about 2.5k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 695 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 695 words (~2,534 tokens).

name
kibana-i18n

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/kibana-i18n of elastic/kibana.

Open the folder on GitHubat commit 30ea56f

Compare with similar skills

Kibana I18n next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Kibana I18n compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kibana I18n this skillelastic/kibana21k—~2.5kAutomated safety check: PassCustom licence
JSON UIactionbook/actionbook1.6k—~2.7kAutomated safety check: PassApache-2.0
Taro UI Guidejd-opensource/taro-ui4.7k—~1.3kAutomated safety check: PassMIT
Frontend I18nlangflow-ai/langflow155k—~1kAutomated safety check: PassMIT
Readme I18nY80/bmm3442 repos~1.9kAutomated safety check: PassMIT
Frontend DevelopmentOpenHands/OpenHands91k—~324Automated safety check: PassMIT

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    Guides installing, configuring, styling and using taro-ui (At* components) in Taro apps for WeChat, Alipay, H5 and React Native.

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  • Frontend I18n

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Works with

Categories

Questions about Kibana I18n

What does Kibana I18n do?

Add i18n to Kibana React components and server code using @kbn/i18n and @kbn/i18n-react. Kibana I18n is an agent skill from elastic/kibana, published by the product's own GitHub organization. Add i18n to Kibana React components and server code using @kbn/i18n and @kbn/i18n-react.

When should I use Kibana I18n?

Kibana I18n fits situations like: internationalizing UI strings; adding FormattedMessage; calling i18n.translate; naming message IDs.

How do I install Kibana I18n in Claude Code?

Run `npx skills add elastic/kibana --skill kibana-i18n -a claude-code`. Or copy the skill folder (.agents/skills/kibana-i18n in elastic/kibana) into .claude/skills/kibana-i18n in your project. Claude Code loads it when a task matches its description.

How do I install Kibana I18n in Codex?

Run `npx skills add elastic/kibana --skill kibana-i18n -a codex`. Or copy the skill folder (.agents/skills/kibana-i18n in elastic/kibana) into .agents/skills/kibana-i18n in your project. Codex loads it when a task matches its description.

Can I use Kibana I18n in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add elastic/kibana --skill kibana-i18n -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kibana-i18n, .gemini/skills/kibana-i18n, .github/skills/kibana-i18n and .opencode/skills/kibana-i18n in your project.

What does Kibana I18n need to run?

Going by SKILL.md and its folder, Kibana I18n needs the command-line tools its instructions call (node).

Does Kibana I18n access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Kibana I18n safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Kibana I18n use?

Kibana I18n has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Kibana I18n use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Kibana I18n?

Skills that share tags, products or a category with Kibana I18n: JSON UI (actionbook/actionbook, 1.6k stars), Taro UI Guide (jd-opensource/taro-ui, 4.7k stars), Frontend I18n (langflow-ai/langflow, 155k stars) and Readme I18n (Y80/bmm, 344 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kibana I18n?

elastic (a GitHub organization, an official publisher) maintains it in elastic/kibana, which has 21,310 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 11, 2026.

Source: elastic/kibana on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.