localize

Orchestrate game localization workflows by scanning source code and validating string tables.

1|Updated May 3, 2026
One-click install
npx skills add https://github.com/imclab/xrA1-swarm --skill localize-imclab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: localize
Source: https://github.com/imclab/xrA1-swarm/tree/main/.claude/skills/localize
Command: npx skills add https://github.com/imclab/xrA1-swarm --skill localize-imclab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This Skill solves the problem of turning hardcoded, untranslated game text into a locale-ready, culturally appropriate, release-approved multilingual experience.

Core Features & Use Cases

  • Localization pipeline orchestration: scan, extract, validate, and run end-to-end QA coverage across locales.
  • Translator-ready outputs: generate translator briefings, diffs for new string table entries, and structured cultural/sensitivity review reports.
  • Release safety and quality gates: enforce placeholder/length correctness, support RTL checks, manage VO localization workflow, and handle string freeze/violations.

Quick Start

Ask the AI to run localize with the extract subcommand to generate translation-ready string-table diffs and present them for approval.

Frequently Asked Questions about localize

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract translatable strings from game source code for localization?

String extraction for game localization is performed by scanning source code to identify and validate hardcoded text, then generating translation-ready string-table diffs. The pipeline reads source files deterministically and outputs structured tables for translator briefings.

What does a game localization QA pipeline check for release readiness?

A game localization QA pipeline checks release readiness by enforcing placeholder integrity, validating string length constraints against UI limits, verifying locale coverage, and running RTL support checks. It produces structured reports flagging violations before string freeze approval.

Can I generate translator briefs and cultural review reports from existing string tables?

Translator briefs and cultural review reports are generated from validated string tables by applying cultural sensitivity analysis to extracted text. The workflow produces structured documentation highlighting context, potential cultural issues, and sensitivity concerns for each locale.

How do I manage string freeze violations and placeholder integrity across multiple locales?

String freeze violations and placeholder integrity are managed by enforcing deterministic rules that lock source strings post-freeze and validate placeholder formatting across all locale tables. The pipeline flags any mismatches or unauthorized source changes in coverage reports.

Does the localization pipeline handle voice-over assets and RTL language support?

Voice-over pipeline artifacts and RTL language support are handled within the localization workflow. The pipeline generates structured VO localization deliverables and performs RTL-specific layout checks to ensure text directionality and UI constraints are satisfied.

What is the best way to keep multilingual string tables consistent with source text during development?

Keeping multilingual string tables consistent with source text is best handled by scanning source code regularly, extracting new strings, and producing diffs that highlight changes against previous locale tables. This deterministic approach ensures locales remain synchronized across pre- and post-freeze stages.