aranjiyyah

This skill identifies "Aranjiyyah" — Arabic text that follows English or French syntactic, morphological, and stylistic structures while using Arabic words. It is designed for developers, editors, and translators who need to produce native-sounding Modern Standard Arabic (MSA) rather than "translation-ese." The tool moves beyond basic grammar checks to analyze the underlying conceptual frame of the language.

What it does

• Detects calques by identifying sentence frames and collocations that mirror foreign language patterns.
• Identifies foreign senses of Arabic words that have been influenced by English or French usage.
• Suggests native rewrites that prioritize Arabic morphology and syntax over word-for-word translations.
• Evaluates stylistic density to determine if a text reads as "translated-sounding" even when grammatically correct.
• Categorizes errors into syntax, morphology, vocabulary, and usage based on established linguistic references.

How it works

1. Meaning analysis: The skill first decodes the intended meaning to ensure the rewrite preserves the original message.
2. Cue scanning: It scans the text for specific particles, connectors, and verbs (like "تمّ", "من خلال", or "يلعب دورًا") known to signal Aranjiyyah.
3. Reference matching: It cross-references findings against specialized modules for syntax, vocabulary, and style.
4. Severity grading: Issues are flagged as red (must change) or yellow (heavy/translated-sounding).
5. Native reconstruction: It provides a clean version of the text using native Arabic frames.

Frameworks & tools

This skill is based on the linguistic research of Ahmad al-Ghamdi and covers Modern Standard Arabic (MSA) conventions.

Why this beats prompting it yourself

Standard LLMs often default to "translated Arabic" because their training data is saturated with translated web content. This skill uses a specific rule-based reference system to identify subtle calques that general models overlook or mistakenly classify as correct.

Use cases

• UI/UX localization to ensure buttons and prompts don't sound like literal English translations.
• Technical documentation to convert passive, heavy translations into active, clear Arabic.
• Article editing for professional publications that require high-register native style.
• Email drafting to remove stiff, foreign-influenced formalisms.

Known limitations

This skill focuses on Modern Standard Arabic (MSA) and is not intended for dialectal Arabic or archaic/classical poetry. It identifies linguistic patterns, not factual errors or basic spelling mistakes.