openclaw-i18n — Internationalization Layer for OpenClaw

---

name: openclaw-i18n

description: Internationalization and localization layer for OpenClaw. Auto-detects language, enforces correct diacritics, formats dates/currency per locale, and pipes output through a post-processing cleaner. Supports Romanian and German at launch.

homepage: https://github.com/bloommediacorporation-lab/openclaw-i18n-skill

metadata:

{

"openclaw":

{

"emoji": "🌍",

"install":

[

{

"id": "clawhub",

"kind": "clawhub",

"label": "Install via ClawHub",

"source": "bloommediacorporation-lab/openclaw-i18n-skill",

},

],

},

"pricing": "€5/month",

"languages": ["ro", "de"],

"trial": "7 days free",

}

---

# openclaw-i18n — Internationalization Layer for OpenClaw

What This Skill Does

OpenClaw is a powerful AI agent framework — but by default, models generate

output that often has wrong diacritics, mixed languages, or mechanically garbled

text when users communicate in non-English languages. This skill fixes that

with two layers:

**Layer 1 — SKILL.md:** Configures the agent to think and respond correctly

in the user's language. Language detection, diacritics enforcement, locale

formatting, cultural communication norms.

**Layer 2 — Post-Processor:** A Python script that mechanically cleans the

model's raw output before it reaches the user. This is the unique part — no

other ClawHub skill does this. It catches the specific mechanical errors that

models reliably produce on non-English text: missing diacritics, stray

Chinese/Russian characters, merged words, common typos.

---

Language Detection

How It Works

style, diacritic usage

Supported Languages

| Language | Code | Status | Diacritics | Launch |

|----------|------|--------|------------|--------|

| Romanian | ro | Stable | ă â î ș ț | v1.0 |

| German | de | Stable | ü ö ä ß | v1.0 |

| French | fr | Planned | à â ç é è ê ë î ï ô û ü | v1.1 |

| Spanish | es | Planned | á é í ó ú ñ ü ¿ ¡ | v1.1 |

| Italian | it | Planned | à è é ì ò ó ù | v1.2 |

| Portuguese | pt | Planned | à á â ã ç é ê í ó ô õ ú | v1.2 |

English (en) is always the fallback when detection fails.

Configuration Commands

User:  "Set language to Romanian"  → sets active language to RO
User:  "Setează limba la română"  → same
User:  "Stelle Sprache auf Deutsch" → sets active language to DE
User:  "Reset language to auto-detect" → reverts to auto-detection

Configuration persists across sessions via OpenClaw memory tools.

---

Output Rules

Language Enforcement

Character Rules

non-intentional contexts. Stray characters that appear in Romanian or German

output are model errors — the post-processor removes them.

into one. Example: "sivei" should never appear as "știu" split wrongly.

Diacritics — Never Approximate

**Romanian:** ă â î ș ț — always correct, never write "s" instead of "ș" or

"t" instead of "ț" in Romanian words.

**German:** ü ö ä ß — never substitute with "ue", "oe", "ae" unless user

explicitly asks for old spelling.

What NOT To Do

---

Locale-Specific Formatting

Romanian (RO)

| Element | Format |

|------------|---------------------------------|

| Date | 15 martie 2026 |

| Currency | 150 lei / 30 euro / 29,99 € |

| Phone | +40 734 270 188 / 0721 234 567 |

| Address | Strada Victoriei nr. 10, București |

German (DE)

| Element | Format |

|------------|---------------------------------|

| Date | 15. März 2026 / 15.03.2026 |

| Currency | 29,99 € / 150 € |

| Phone | +49 30 12345678 / 0171 2345678 |

| Address | Hauptstraße 10, 10115 Berlin |

---

Cultural Communication Norms

German (DE) — Formal by Default

Romanian (RO) — Warm but Professional

---

Post-Processor Integration

The `i18n_processor.py` script runs after the model generates output and

before it reaches the user. This is critical — it fixes mechanical errors

that slip through even when the model "knows" the correct form.

What the Post-Processor Fixes (deterministic, high-confidence):

1. **Missing diacritics** in common words (RO: "vrau"→"vreau", DE: "Mueller"→"Müller")

2. **Stray non-Latin characters** — single Chinese/Russian chars inserted by M2.7

3. **Merged words** — obvious cases where two words lost their space

4. **Whitespace errors** — double spaces, trailing/leading spaces

5. **Common typos** — model-specific patterns that are consistent and fixable

What the Post-Processor Does NOT Fix:

Integration Instructions

The agent should pipe output through the processor:

from i18n_processor import process
cleaned = process(raw_output, language_code)
# send 'cleaned' to user

Invoking from SKILL.md Context

When this skill is active, every model response should be treated as raw

output and passed through `process(response, detected_language)` before

delivery. The agent never sees this step — it's transparent to the user.

---

Configuration Memory

Language preference is stored via OpenClaw memory tools:

When `i18n_mode` is "auto", the agent re-evaluates language on each session

start but respects manual overrides until reset.

---

Quick Reference

| Command | Effect |

|---------|--------|

| "Set language to Romanian" | Lock to RO |

| "Setează limba la română" | Lock to RO |

| "Stelle Sprache auf Deutsch" | Lock to DE |

| "Reset language to auto-detect" | Back to auto |

| Symbol | Meaning |

|--------|---------|

| ă â î ș ț | Romanian diacritics |

| ü ö ä ß | German diacritics |

| 🌐 | Language indicator |

| 🌍 | i18n skill active |

---

Error Handling

If the post-processor encounters ambiguous text:

Rule: The cost of a missed diacritic is lower than the cost of a wrong one.