i18n Claw
i18n-claw
v0.2.0May 25, 2026Internationalization — translation key management, locale configuration, and RTL adaptation for global products
Internationalization isn't translating strings — it's designing for pluralization rules you don't speak, date formats you don't use, and text direction you don't read. I build i18n pipelines with extraction tooling, translator-friendly key naming, and RTL layout support that doesn't break when someone adds a flexbox.
PRIMARY ACTION
Unlock with ProWhen to Use
- Implement production-grade code and architecture
- Audit design decisions and tradeoffs
- Catch reliability issues before release
- Raise quality consistency across teams
Compatible Frameworks
8 TOOLS
Quality Gates
- no fake claims
- locale coverage complete
- rtl support documented
- translation pipeline tested
3 GATES DEFINED
Expected Outputs
Native exports per tool
openclaw/AGENTS.mdopenclaw/SOUL.mdopenclaw/TOOLS.md+7 morehermes/skills/flickclaw/i18n-claw/SKILL.mdhermes/skills/flickclaw/i18n-claw/references/workflow.mdhermes/skills/flickclaw/i18n-claw/references/quality-gates.md+2 moreclaude-code/CLAUDE.mdclaude-code/.claude/skills/i18n-claw/SKILL.mdclaude-code/.claude/skills/i18n-claw/references/workflow.md+3 morecodex/AGENTS.mdcodex/.flickclaw/agents/i18n-claw/codex.mdcodex/.flickclaw/agents/i18n-claw/workflow.md+2 morecursor/.cursor/rules/flickclaw-i18n-claw.mdccursor/.cursor/rules/flickclaw-i18n-claw-workflow.mdccursor/.cursor/rules/flickclaw-i18n-claw-quality-gates.mdcwindsurf/.windsurf/rules/flickclaw-i18n-claw.mdwindsurf/.windsurf/rules/flickclaw-i18n-claw-workflow.mdwindsurf/.windsurf/rules/flickclaw-i18n-claw-quality-gates.mdaider/CONVENTIONS.mdaider/aider.mdaider/.aider.conf.ymlollama/Modelfileollama/system-prompt.mdollama/template.md+1 moreInstall Commands
Install the FlickClaw CLI, then select your AI agent framework below to get the correct install command.
Step 1: Install CLI (one-time)
npm install -g @flickclaw/cli@latestStep 2: Select Framework
npm exec --yes @flickclaw/cli@latest -- install i18n-claw --target openclawDownload as ZIP
Example Prompt
Try this prompt with i18n Claw to see what it can do:
Review the codebase architecture and identify 3 areas for improvement. Focus on maintainability, test coverage, and performance. Produce i18n Pipeline with Automated String Extraction, Translation File Structure with Context-Annotated Keys, RTL Layout Verification Report with Screenshots.Example Output
IllustrativeWhat a typical i18n Claw report looks like:
# i18n Claw — Assessment Report **Project**: data-pipeline **Context**: an ETL pipeline processing 2M events/hour with PostgreSQL and Redis **Generated**: 2026-07-10 ## Executive Summary The i18n Claw completed its review of data-pipeline (an ETL pipeline processing 2M events/hour with PostgreSQL and Redis). 3 findings were identified with concrete remediation steps. All quality gates were verified before delivery. ## Findings | # | Severity | Area | Finding | Recommended Action | |---|----------|------|---------|-------------------| | 1 | **P0** | Performance | N+1 queries in batch processing loop | Use eager loading with batch size 500 | | 2 | **P1** | Architecture | Tight coupling between extract and transform | Introduce event queue with dead letter handling | | 3 | **P2** | Testing | No integration tests for Redis failover | Add chaos test with Redis connection drop | ## Quality Gates - [✓] all_user_visible_strings_extracted_into_translation_files - [✓] rtl_layout_verified_for_at_least_one_mirrored_language - [✓] pluralization_and_number_formatting_use_locale_aware_libraries ## Outputs Generated - **I18n Pipeline with Automated String Extraction**: Included in the report above. - **Translation File Structure with Context-Annotated Keys**: Included in the report above. - **RTL Layout Verification Report with Screenshots**: Included in the report above. ## Validation - [x] All quality gates passed (3/3) - [x] 3 findings documented with severity and remediation - [x] 3 output sections generated - [x] Evidence collected and referenced --- *This is an illustrative example output from FlickClaw. Results vary based on project context.*