Readme I18n
Y80/bmm
A skill your agent uses when the user wants to translate a repository README, make a repo multilingual, localize docs, add a language switcher, internationalize the README, or update localized…
Add, change, or review user-facing text in the Langflow frontend using the i18n system (i18next / react-i18next).
$ npx skills add langflow-ai/langflow --skill frontend-i18n -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langflow-ai/langflow frontend-i18n --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langflow-ai/langflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/frontend-i18n .claude/skills/frontend-i18n && rm -rf skills-srcUse ~/.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/
Install the "frontend-i18n" agent skill from https://github.com/langflow-ai/langflow/tree/main/.agents/skills/frontend-i18n into .claude/skills/frontend-i18n/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-i18n", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langflow-ai/langflow/tree/main/.agents/skills/frontend-i18nType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langflow-ai/langflow --skill frontend-i18n -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langflow-ai/langflow frontend-i18n --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langflow-ai/langflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/frontend-i18n .agents/skills/frontend-i18n && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "frontend-i18n" agent skill from https://github.com/langflow-ai/langflow/tree/main/.agents/skills/frontend-i18n into .agents/skills/frontend-i18n/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-i18n", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langflow-ai/langflow --skill frontend-i18n -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langflow-ai/langflow frontend-i18n --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langflow-ai/langflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/frontend-i18n .cursor/skills/frontend-i18n && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "frontend-i18n" agent skill from https://github.com/langflow-ai/langflow/tree/main/.agents/skills/frontend-i18n into .cursor/skills/frontend-i18n/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-i18n", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langflow-ai/langflow.git --path .agents/skills/frontend-i18n--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langflow-ai/langflow --skill frontend-i18n -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langflow-ai/langflow frontend-i18n --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langflow-ai/langflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/frontend-i18n .gemini/skills/frontend-i18n && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "frontend-i18n" agent skill from https://github.com/langflow-ai/langflow/tree/main/.agents/skills/frontend-i18n into .gemini/skills/frontend-i18n/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-i18n", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langflow-ai/langflow frontend-i18nInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langflow-ai/langflow --skill frontend-i18n -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langflow-ai/langflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/frontend-i18n .github/skills/frontend-i18n && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "frontend-i18n" agent skill from https://github.com/langflow-ai/langflow/tree/main/.agents/skills/frontend-i18n into .github/skills/frontend-i18n/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-i18n", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langflow-ai/langflow --skill frontend-i18n -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langflow-ai/langflow frontend-i18n --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langflow-ai/langflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/frontend-i18n .opencode/skills/frontend-i18n && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "frontend-i18n" agent skill from https://github.com/langflow-ai/langflow/tree/main/.agents/skills/frontend-i18n into .opencode/skills/frontend-i18n/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-i18n", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
frontend-i18nAdd, change, or review user-facing text in the Langflow frontend using the i18n system (i18next / react-i18next).
Frontend I18n is an agent skill from langflow-ai/langflow. Add, change, or review user-facing text in the Langflow frontend using the i18n system (i18next / react-i18next). Use whenever a change adds or edits UI strings — labels, buttons, tooltips, modals, toasts, error messages, empty states — or when reviewing a diff that contains user-facing text. Every user-facing string must go through the translation system and every new key must exist in ALL locale files. Do NOT use for backend strings, log messages, or code identifiers.
Its SKILL.md is about 1k 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 and Translation. It works with React. The repository describes itself as: Langflow is a powerful tool for building and deploying AI-powered agents and workflows. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 504c02f. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript, json and bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Frontend I18n loads about 1k tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 411 words of instructions outside code blocks.
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.
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.
The full file from langflow-ai/langflow at commit 504c02f, republished under its MIT licence (© langflow-ai). 411 words, ~1,007 tokens.
.claude/skills/frontend-i18n/SKILL.md (or your agent's skills folder).The Langflow frontend is internationalized with i18next + react-i18next. Locales live in src/frontend/src/locales/ — currently en, de, es, fr, ja, pt, zh-Hans. A hardcoded user-facing string, or a key missing from one locale, ships broken UI for part of the user base.
t(...) — never hardcoded JSX text for labels, buttons, tooltips, modals, toasts, errors, placeholders, aria-labels, or empty states.en.json, de.json, es.json, fr.json, ja.json, pt.json, zh-Hans.json). fallbackLng: "en" means a missing key silently shows English — it won't crash, which is exactly why reviews must catch it.src/frontend/src/i18n.ts — a custom i18next instance. en is bundled statically; other languages are lazy-loaded by loadLanguage() via dynamic import. Language preference comes from localStorage.getItem("languagePreference"), normalized (e.g. zh-CN → zh-Hans, unknown → en).deleteModal.title, errors.fileTooLarge, crash.restartButton. Follow the existing namespace of the area you're touching; create a new prefix only for a genuinely new surface.{{variable}} in the string and an options object in the call.import { useTranslation } from "react-i18next";
const { t } = useTranslation();
<span>{t("deleteModal.title")}</span>
<p>{t("errors.fileTooLarge", { maxSizeMB: "10MB" })}</p>In locales/en.json (and every other locale file):
"errors.fileTooLarge": "The file size is too large. Please select a file smaller than {{maxSizeMB}}."For the non-English locales, write a real translation when confident; if not, add the key with the English value and flag it in the PR — a present-but-untranslated key is visible and searchable, a missing key is invisible.
t("a") + name + t("b")) — word order differs across languages. Use one key with interpolation: t("greeting", { name }).t() calls (see how crash.descriptionBefore / crash.githubIssues / crash.descriptionAfter split around a link)._one / _other suffixes), not count === 1 ? ... : ....Intl.* using the active locale, never hardcoded formats.placeholder, title, aria-label, toast/error text).src/frontend/src/locales/*.json).Quick check for a key across locales:
for f in src/frontend/src/locales/*.json; do grep -L '"my.new.key"' "$f"; done(prints the locale files where the key is missing — should print nothing)
© langflow-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/frontend-i18n of langflow-ai/langflow.
Open the folder on GitHubat commit 504c02f
Frontend 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Frontend I18n this skilllangflow-ai/langflow | 155k | — | ~1k | Automated safety check: Pass | MIT | |
| Readme I18nY80/bmm | 344 | 2 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Lingui Best PracticesB0und/WikiSpeedrun | 133 | 2 repos | ~4.2k | Automated safety check: Pass | MIT | |
| I18next Localizationi18next/i18next-cli | 241 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Builder UI I18nChatbotXIO/ChatbotX | 885 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Add LanguageZoneMinder/zmNinjaNg | 111 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
Y80/bmm
A skill your agent uses when the user wants to translate a repository README, make a repo multilingual, localize docs, add a language switcher, internationalize the README, or update localized…
B0und/WikiSpeedrun
Implement internationalization with Lingui in React and JavaScript applications.
i18next/i18next-cli
Takes an app from hardcoded strings to a localized, continuously translated one with i18next (Locize optional): stack detection, config, wrapping strings in t(), key extraction, Locize sync, and AI…
ChatbotXIO/ChatbotX
Build or modify ChatbotX builder UI components, forms, tables, dialogs, shared UI usage, and translations.
ZoneMinder/zmNinjaNg
A skill your agent uses when adding a new interface language (locale) to the app, or when asked to translate the UI into another language.
actionbook/actionbook
CRITICAL: Use for json-ui component rendering and development.
langflow-ai/langflow
Review backend code for quality, security, maintainability, and best practices based on established checklist rules.
langflow-ai/langflow
Refactor high-complexity React components in Langflow frontend.
langflow-ai/langflow
Write and review Playwright E2E tests for Langflow. An agent skill from langflow-ai/langflow.
langflow-ai/langflow
Guide for implementing Langflow frontend query and mutation patterns with Axios and TanStack React Query v5.
langflow-ai/langflow
Perform a scoped IBM Equal Access Level 1 compliance audit of a chosen Langflow frontend surface (routes, components, or a PR) and produce a findings report mapped to WCAG/IBM Level 1 criteria.
langflow-ai/langflow
Scan every frontend surface touched by the current PR/branch for IBM Equal Access Level 1 accessibility issues and fix all in-scope violations by default.
Works with
Categories
Add, change, or review user-facing text in the Langflow frontend using the i18n system (i18next / react-i18next). Frontend I18n is an agent skill from langflow-ai/langflow. Add, change, or review user-facing text in the Langflow frontend using the i18n system (i18next / react-i18next).
Frontend I18n fits situations like: edits UI strings — labels; reviewing a diff that contains user-facing text; backend strings; code identifiers.
Run `npx skills add langflow-ai/langflow --skill frontend-i18n -a claude-code`. Or copy the skill folder (.agents/skills/frontend-i18n in langflow-ai/langflow) into .claude/skills/frontend-i18n in your project. Claude Code loads it when a task matches its description.
Run `npx skills add langflow-ai/langflow --skill frontend-i18n -a codex`. Or copy the skill folder (.agents/skills/frontend-i18n in langflow-ai/langflow) into .agents/skills/frontend-i18n in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langflow-ai/langflow --skill frontend-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/frontend-i18n, .gemini/skills/frontend-i18n, .github/skills/frontend-i18n and .opencode/skills/frontend-i18n in your project.
SKILL.md names no scripts, command-line tools or credentials: Frontend I18n is instructions for the agent only.
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.
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.
Frontend I18n is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Frontend I18n: Readme I18n (Y80/bmm, 344 stars), Lingui Best Practices (B0und/WikiSpeedrun, 133 stars), I18next Localization (i18next/i18next-cli, 241 stars) and Builder UI I18n (ChatbotXIO/ChatbotX, 885 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
langflow-ai (a GitHub organization) maintains it in langflow-ai/langflow, which has 155,453 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 10, 2026.
Source: langflow-ai/langflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.