GCC / MENA Growth Marketing Kit

A complete growth-marketing toolkit tuned for the GCC / MENA markets (Kuwait, Saudi Arabia, UAE, Qatar, Bahrain, Oman). Combines a regional Meta-ads media-buying playbook (live benchmarks, format rankings, a Ramadan dayparting plan, and a pause/scale decision engine) with the branded carousel generator, a brand-voice extractor, and a source-first content engine for platform-native posts. Four Claude skills that together let you plan campaigns, write GCC-native copy, design the creative, and keep one consistent voice across every channel.

This pack includes 4 Claude skills:

gcc-meta-ads-media-buying, branded-carousel-generator, brand-voice, content-engine

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GCC Meta Ads Media Buying

What it does

This is a Claude skill that turns Claude into an expert media buyer for the GCC (Gulf) markets — Kuwait, Saudi Arabia, UAE, Qatar, Bahrain, and Oman — running Meta (Facebook/Instagram) ads.

It packages regional intelligence that normally takes years of spend to learn:

**Live GCC benchmarks** — CPM, CPC by industry, CPL and ROAS targets, and CTR/CPC pause thresholds per country.

**Ad-format performance rankings** — when to use UGC vs carousels vs Reels vs stories vs static, with the real reach/conversion/CPA deltas behind each.

**Instagram/Meta algorithm facts (2025-2026)** — what the algorithm actually rewards (DM shares, saves, watch time, original content, 4:5 ratio), recent API/metric changes, and Advantage+ vs manual guidance.

**GCC scheduling intelligence** — peak engagement windows in Kuwait time, best/worst days, and a full **Ramadan dayparting playbook** (the single biggest GCC advertising window).

**A decision engine** — explicit rules for when to PAUSE immediately, when to pause/scale only with human approval, when to refresh creative, and when to launch a new test.

**Creative specs, hook formulas (Arabic + English), CTA rules, campaign-naming standards, cross-GCC budget splits, and a Meta Graph API quick reference.**

The result: Claude can audit a running campaign, plan a region-wide launch, pick the right format for a funnel stage, scale winners safely, and write GCC-native ad copy — all grounded in regional data rather than generic Western ad advice.

How to use it

Once installed, the skill auto-activates whenever you ask Claude about Meta ads, campaign management, media buying, ad creative, audience targeting, budget optimization, or campaign analysis for GCC markets. You can also invoke it explicitly with the Skill tool: `Skill(skill="gcc-meta-ads-media-buying")`.

One-time setup: open `SKILL.md` → **How to Wire Your Ad Accounts** and replace the placeholders (`act_YOUR_AD_ACCOUNT`, `YOUR_BM_ID`, `YOUR_PIXEL_ID`, your `META_SYSTEM_TOKEN` env var, and your WhatsApp/landing URLs) with your own values. Keep tokens in an environment variable or secret manager — never hardcode them.

Then just ask in plain language, for example:

"My Kuwait lead-gen campaign has spent $180, ROAS 1.7, CTR 0.4% after 6,000 impressions — what do I do?"

"Build a Ramadan campaign plan for a skincare brand, $3,000, Saudi + UAE + Kuwait."

"Cold traffic in Kuwait, never advertised — which creative format?"

"Campaign at 5.2x ROAS for 4 days — can I 3x the budget?"

"Give me the Graph API call for last-7-days campaign insights on act_123."

See `README.md` for full worked examples and the exact rules the skill applies to each.

How to install it

This is a Claude skill. Unzip it into your Claude skills directory and it auto-loads:

unzip gcc-meta-ads-media-buying.zip -d ~/.claude/skills/

This creates `~/.claude/skills/gcc-meta-ads-media-buying/` containing `SKILL.md` (the skill), `README.md`, and this `description.md`. Claude Code automatically discovers any skill under `~/.claude/skills/` — no further configuration is required to make it loadable. To use it, either let it trigger automatically on a matching request or call it directly via the Skill tool: `Skill(skill="gcc-meta-ads-media-buying")`.

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Branded Carousel Generator

What it does

Turns a small JSON spec into polished, on-brand social media graphics — single posts, multi-slide carousels, and announcements — as 1080×1350 JPGs (the canvas size is configurable). It renders in the "Intelligence Brief" visual style: a dark gradient canvas, a serif headline as the hero, an accent color for stats and chips, and a **self-drawn SVG node-network background** generated procedurally in code. No image-generation model is called, so every render is free, instant, deterministic (reproducible from a `seed`), and never produces garbled AI artifacts. Six slide types cover the common formats: `cover` (hook), `stat` (one big number), `point` (explainer), `list` (bullets), `quote` (pull-quote), and `closing` (takeaway + CTA). Every visual token — brand name, tagline, website, default handle, four colors, two fonts, and the canvas dimensions — lives in a single `brand_config.json` you edit once, so the same engine renders for any brand. The skill ships with three worked example specs and a quick-start README.

How to use it

1. Install the runtime once: `pip install pillow playwright && python3 -m playwright install chromium`. 2. Open `brand_config.json` and set your `brand_name`, `tagline`, `website`, `default_handle`, the four brand colors, and the two fonts (also point `font_css_url` at the matching Google Fonts URL so they load). 3. Write a spec JSON describing the slides, then run the renderer:

   echo '{SPEC}' | python3 scripts/render_post.py - --out ./out
   # or from a file, optionally selecting a different brand profile:
   python3 scripts/render_post.py spec.json --out ./out --brand brand_config.json

The script writes the JPGs to the `--out` folder and prints a JSON array of their paths. Carousel slides are numbered in order (`_01`, `_02`, …) — upload them in that order to Instagram, LinkedIn, or any platform. Start from the three ready-to-run files in `examples/` (`single_post.json`, `carousel.json`, `announcement.json`) and the `README.md` quick start.

How to install it

This is a Claude skill. Unzip the package into your Claude skills directory so the folder lives at `~/.claude/skills/branded-carousel-generator/` (it must contain `SKILL.md`, `brand_config.json`, the `scripts/` folder, the `examples/` folder, and this file). Claude auto-loads skills from that directory on the next session — no further configuration is needed. You can then invoke it via the Skill tool (or it triggers automatically on requests like "make a post" or "create a carousel"). The Python runtime dependencies (`pillow`, `playwright`, and the Chromium browser) must be installed once as shown in the "How to use it" section above.

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Brand Voice

What it does

Brand Voice is a Claude skill that turns scattered, inconsistent AI writing into a single, consistent brand voice. Instead of re-explaining "write like me" every session (which always drifts), it extracts a compact **voice profile** from real source material once, and reuses it for every future piece of content.

It gives Claude:

A **source hierarchy** for picking the right samples to learn from (real posts and essays over templates and competitors).

A checklist of **what to extract** — sentence rhythm, compression, punctuation habits, capitalization, question frequency, claim sharpness, and CTA placement.

A fixed `VOICE PROFILE` **output format** small enough to keep in context and reuse everywhere.

Two **worked examples** (a B2B practitioner founder and a warm consumer/lifestyle brand) showing exactly how specific a good profile should be.

A universal **"hard bans"** list of AI-tell phrases to delete on sight ("Excited to share", "game-changer", forced lowercase, bait questions, and more).

The result: content for X, LinkedIn, Instagram, email, and launches that all sounds like the same author — without regenerating tone from scratch each time.

How to use it

1. **Collect samples.** Gather 5-20 representative pieces of the target voice — recent posts, essays, or high-performing emails. Skip templates, generic platform examples, and competitors' content. 2. **Build the profile.** Ask Claude: *"Use the brand-voice skill to build a voice profile from these samples,"* and paste the samples in. Claude returns a structured `VOICE PROFILE`. 3. **Save the profile.** Store it in a project file, a saved note, or paste it directly into your own copy of the skill so it becomes permanent and never has to be re-derived. 4. **Apply it everywhere.** For any new content, reference the saved profile: *"Write a launch announcement using the saved voice profile."* Every draft inherits the locked tone, rhythm, and bans. 5. **Re-derive only when the real voice changes** (new positioning or audience). Otherwise treat the profile as fixed.

Tip: keep public and private/internal voices as separate profiles if the author switches registers. Pair brand-voice with a content-prep step and a cross-posting step for a full pipeline — and always run brand-voice first.

How to install it

This is a standard Claude skill. To install:

1. Unzip the package into your Claude skills directory so the files live at: `~/.claude/skills/brand-voice/` (The folder should contain `SKILL.md` alongside this `description.md` and the `README.md`.) 2. That's it — Claude auto-loads skills from `~/.claude/skills/` on the next session. No build step or restart of anything other than your Claude session is required. 3. Use it by asking naturally (e.g. "build a voice profile from these posts") or by invoking it explicitly with the Skill tool: `brand-voice`.

To confirm it loaded, start a new session and ask Claude to "use the brand-voice skill" — it should follow the extraction process and output the `VOICE PROFILE` format described above.

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Content Engine

What it does

Content Engine is a Claude skill that turns real source material — blog posts, demos, transcripts, notes, campaign results — into platform-native content for X, LinkedIn, Instagram, TikTok, YouTube, and newsletters, without flattening the author's voice.

It encodes a repeatable methodology, not templates:

**Source-first** — starts from your actual material, never from generic templates.

**Atomic claims** — extracts 3–7 sharp, specific claims and ranks them by novelty,

not by their order in the source.

**One platform, one idea** — assigns the strongest claim to your primary platform

and adapts the rest, so nothing is duplicated verbatim.

**Platform rules** — concrete do/don't guidance per platform (compress on X, use

white space on LinkedIn, payoff-in-3-seconds on short video, one claim per carousel slide on Instagram, etc.).

**Funnel-aware language** — picks the language register and (for multilingual

markets) the actual language by funnel stage: TOFU, MOFU, BOFU.

**Agency / multi-product playbook** — one product per post, personal vs brand

voice per channel, mention the product at the end as a natural conclusion.

**Quality gate** — a checklist every output must pass before delivery: same author

voice, no padding, no duplicated copy, no invented CTAs.

The result is content that sounds like a person, fits each platform natively, and avoids the usual AI tells ("game-changer", forced closing questions, fake casualness).

How to use it

1. Make sure the skill is installed (see "How to install it"). 2. Give Claude your source material and the platforms you want. Example:

> Turn this launch post into an X thread, a LinkedIn post, and an Instagram > carousel. Keep my voice — plain and direct. Source: [paste material]

3. Optionally set parameters for repeatable output: primary platform, the voice for each channel (personal vs brand), the funnel stage, and the language per stage. 4. Claude extracts the atomic claims, assigns them to platforms, writes native variants, and runs the quality gate before returning the content.

See `README.md` for a 60-second quick start and three worked examples (blog post → 3 platforms, demo transcript → short-video script, and an agency multilingual setup). See `SKILL.md` for the full methodology, all platform rules, and the quality-gate checklist.

How to install it

This is a Claude skill. Install it into your Claude skills directory:

1. Unzip the package into `~/.claude/skills/content-engine/` so that `~/.claude/skills/content-engine/SKILL.md` exists.

   mkdir -p ~/.claude/skills/content-engine
   unzip content-engine.zip -d ~/.claude/skills/content-engine/

2. The skill auto-loads — Claude detects it on the next session. You can also invoke it explicitly with the Skill tool by name (`content-engine`), or simply describe a content task ("turn this into an X thread and a LinkedIn post") and Claude will apply it.

No dependencies, API keys, or configuration are required — the skill is pure methodology in Markdown.

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Delivered as a ZIP of Claude skill folders. Unzip into your Claude skills directory; each skill auto-loads on the next session.