--- name: blog-to-regional-audience-localizer description: "Reframes an existing blog post for a specific regional business and cultural context — adjusting examples, references, business norms, compliance framing, idioms, currency, and CTAs — while preserving the core argument and SEO intent. Delivers a fully localized draft plus a change log and a regional review checklist. Use when adapting English-source B2B content for APAC, MENA, LATAM, DACH, or other regional markets." argument-hint: "[blog-post] [target-region]" allowed-tools: ["Read"] --- # Blog-to-Regional-Audience Localizer ## Purpose Transform a source blog post into a version that reads as if it were written for a specific region's business culture — not a machine-translated or lightly-swapped copy — by reframing examples, references, buying norms, regulatory context, and tone while keeping the original argument and search intent intact. Solves the "our global content flops in-region" problem without commissioning a full rewrite from a local agency. ## When to Use Invoke this skill when the user asks to: - Adapt a blog post for APAC, MENA, LATAM, DACH, India, or another regional market - Localize content beyond translation — cultural and business-context reframing - Make a US/UK-written article resonate with a regional B2B buyer - Fix content that performs well in one market but not another - Prepare a source article for a regional website, subfolder, or newsletter - Build a region-appropriate version before handing off to a native-language translator ## Inputs Required Before starting, collect: - **Source blog post**: The full text (or URL) to be localized - **Target region**: APAC, MENA, LATAM, DACH, India, SEA, etc. — and specific country if known - **Output language**: Localized English, or English source prepped for translation into a named language - **Primary buyer persona**: Role and industry of the regional reader (e.g., IT director at a mid-market bank) - **Regulatory/compliance sensitivities**: Any regional data, privacy, or industry rules that affect claims (e.g., GDPR, PDPA, DIFC) - **Brand and product constraints**: Product names, features, or claims that must stay unchanged - **CTA/conversion goal**: The action the localized post should drive (demo, download, contact, subscribe) If regulatory sensitivities or specific country are missing, localize to the region's most populous B2B market and flag any claims that need legal review. ## Instructions ### Step 1: Establish the Regional Frame Before editing, build a working model of the target reader: - **Business culture axis**: Directness vs. indirectness, hierarchy vs. flat decision-making, relationship-first vs. transaction-first - **Buying behavior**: Committee size, sales-cycle length, preference for proof (case studies, analyst validation, references) vs. bold claims - **Communication norms**: How formal, how much hedging, use of honorifics or titles, comfort with humor or hype - **What signals credibility locally**: Regional customer logos, local analyst firms, compliance certifications, local partnerships State these assumptions in one short paragraph before editing, so the buyer can correct them. ### Step 2: Preserve the Non-Negotiables Identify and lock what must NOT change: - Core argument and post structure (H1, section order, key takeaways) - Primary keyword and search intent — do not localize away the SEO target - Product names, factual claims, and any numbers tied to real data Flag any claim that is accurate in the source market but risky or non-compliant in the target region rather than silently editing it. ### Step 3: Reframe the Content Layers Work through each localization layer in order: **Layer 1 — Examples and scenarios**: Replace US/UK-centric use cases, company types, and industry references with ones the regional reader recognizes. A "Fortune 500 retailer" becomes a locally resonant equivalent. **Layer 2 — References and proof**: Swap named brands, sports/pop-culture references, and analyst callouts for regionally credible equivalents. Prefer local proof points where they strengthen the argument. **Layer 3 — Business norms and framing**: Adjust the tone to match decision-making culture — soften aggressive claims for consensus-driven markets, lead with relationship/trust framing where transactional pitches underperform. **Layer 4 — Practical details**: Convert currency, units, date formats, phone/address conventions, and time references. Localize idioms and phrasal verbs that don't translate — replace, don't just gloss. **Layer 5 — Compliance and claims**: Reframe or caveat any statement affected by regional regulation (data residency, privacy, financial claims, industry-specific rules). **Layer 6 — CTA and next step**: Adapt the call-to-action to regional conversion norms — e.g., a "book a demo" CTA may need a lower-commitment "talk to our regional team" alternative in relationship-first markets. ### Step 4: Produce the Localized Draft Rewrite the full post applying all layers. Keep it publish-ready — no bracketed placeholders, no "insert local example here." Match the reading level and length of the source within ±15%. ### Step 5: Generate the Change Log List every substantive change as a table: original element → localized element → layer → reason. This lets a regional stakeholder validate judgment calls quickly. ### Step 6: Deliver the Regional Review Checklist Provide 5–8 items a local reviewer should verify before publishing — including any flagged compliance claims and any assumptions from Step 1 that need native confirmation. ## Output Format - **Structure**: Regional frame paragraph → full localized blog draft → change-log table → regional review checklist - **Length**: Localized draft within ±15% of source word count; change log and checklist add 300–500 words - **Format**: Prose for the draft; a table for the change log; a checklist for the review section - **Sections**: Regional Frame → Localized Draft → Change Log (table) → Regional Review Checklist - **Tone**: The draft matches the target region's business communication norms; the surrounding analysis is direct and editorial ## Quality Checklist Before delivering output, verify: - [ ] The regional frame paragraph states buyer, business-culture, and credibility-signal assumptions explicitly - [ ] The core argument, structure, and primary keyword are preserved unchanged - [ ] All six localization layers were applied — examples, references, norms, practical details, compliance, CTA - [ ] The localized draft contains zero bracketed placeholders and is publish-ready - [ ] The change log lists each substantive change with a stated reason and layer - [ ] Any compliance-sensitive claim is flagged in both the change log and the review checklist ## Notes - Localization is not translation — this skill produces regionally-reframed content; hand the output to a native translator when a non-English language is the final target - The most common failure is swapping surface details (currency, spelling) while leaving US-centric business assumptions intact — the norms and framing layer matters most - When in doubt on a compliance claim, flag rather than delete; the regional stakeholder owns the final legal call - For consensus-driven markets (much of APAC and DACH), reducing hype and adding proof points typically lifts engagement more than any other single change --- ## How to use this skill This file is a Claude Code skill in [Anthropic's standard format](https://docs.anthropic.com/en/docs/claude-code/skills) — markdown with YAML frontmatter at the top. **Installing in Claude Code:** - `~/.claude/skills//SKILL.md` — auto-loads in every session anywhere on your machine (recommended for skills you'll use across multiple projects) - `/.claude/skills//SKILL.md` — auto-loads only when working in that project (recommended for project-specific skills) Restart Claude Code or open a new session to register. **Using in Claude.ai, ChatGPT, Gemini, or other AI tools:** 1. 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