ab-test-plan
Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant…
Score translated or localized content into one composite quality verdict — technical translation scoring (length ratio, formatting, do-not-translate terms, placeholders), content quality in the target language, brand voice consistency, and target-market compliance — classified
$ npx -y skills add indranilbanerjee/digital-marketing-pro --skill multilingual-score --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/multilingual-scoreContext preview
The summary Claude sees to decide when to auto-load this skill.
Score translated or localized content into one composite quality verdict — technical translation scoring (length ratio, formatting, do-not-translate terms, placeholders), content quality in the target language, brand voice consistency, and target-market compliance — classified
name: multilingual-score description: "Score translated or localized content into one composite quality verdict — technical translation scoring (length ratio, formatting, do-not-translate terms, placeholders), content quality in the target language, brand voice consistency, and target-market compliance — classified as Publish Ready (85+), Native Speaker Review (70-84), or Re-translate (below 70) with specific, located fix suggestions per issue. Triggers on \"/digital-marketing-pro:multilingual-score\", \"is this German translation ready to publish\", \"score this localized landing page\", \"did the translation keep our brand voice\", \"check compliance on the Japanese version\". Runs the language-router, eval-runner, and brand-voice-scorer scripts, reads the brand profile's language config and do-not-translate list, and compares against the brand's multilingual baseline when past runs exist."
Score translated or localized content across multiple quality dimensions to determine whether it is ready for publishing, needs native speaker review, or requires re-translation. Combines technical translation scoring (length ratios, formatting preservation, placeholder integrity, key term consistency) with content quality evaluation, brand voice consistency checking, and market-specific compliance verification into a single composite multilingual quality score.
Use this command after any translation or localization workflow to validate quality before content goes live. It replaces subjective "looks good" assessments with a structured, repeatable scoring methodology that catches issues automated translation often introduces — brand voice drift, formatting damage, missing do-not-translate terms, compliance gaps in the target market, and length distortion that signals missing or added content. The composite score provides a clear publish/review/re-translate classification so the team knows exactly what action to take.
The user must provide (or will be prompted for):
1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice dimensions, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. Load the language configuration — specifically the do-not-translate terms from `language.do_not_translate` and any translation quality baselines from past scoring runs. Also check for guidelines at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` — if present, load restrictions and voice-and-tone rules that apply across all languages. Check for agency SOPs at `~/.claude-marketing/sops/`. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults. 2. **Run technical translation scoring**: Execute `language-router.py --action score` with the original content, translated content, source language, target language, and do-not-translate terms. This produces four sub-scores: **length ratio** (translated content length versus expected length for the language pair — e.g., German typically runs 10-35% longer than English, Japanese typically runs 20-50% shorter, per the `EXPANSION_RATIOS` table in `language-router.py` (the source of truth for expected ranges); deviations beyond expected ranges indicate missing or added content), **formatting preservation** (markdown structure, HTML tags, merge tags like {{first_name}}, UTM parameters, and link structures survived translation intact), **key term consistency** (every do-not-translate term from the brand profile and any additional specified terms appears exactly as specified in the translation), and **placeholder integrity** (all variables, template tokens, and dynamic content markers are present and correctly positioned in the translated version). 3. **Run content quality evaluation**: Execute `eval-runner.py --action run-quick` on the translated content alone, scoring it as standalone content in the target language. This assesses structural quality, readability for the target audience, completeness, and coherence — catching cases where a translation is technically accurate but reads poorly as native content. The eval-runner scores content against the plugin's standard quality dimensions regardless of whether it was translated or originally authored. 4. **Run brand voice consistency check**: Execute `brand-voice-scorer.py --brand
Your agency just signed a 50-brand client. The previous agency left no playbook. Three brands are bleeding budget, two have stale positioning, one is launching in a regulated jurisdiction next month. Where do you start?
Repo: indranilbanerjee/digital-marketing-pro
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