
Every KiraBots Claude skill in one vault — the complete library at the best price (less than buying the individual packs separately). Build and ship WhatsApp Business Platform integrations (Cloud API, carousels, interactive Flows, coexistence, Meta OAuth preflight), run GCC/MENA Meta-ads campaigns, design on-brand carousels, extract a consistent brand voice, drive a source-first content engine, and work the Instagram Graph API — all of it. Ten battle-tested skills that install into your Claude skills directory and activate automatically. One purchase, the whole toolkit, every future-proof workflow KiraBots ships.
This pack includes 10 Claude skills:
brand-voice, branded-carousel-generator, content-engine, gcc-meta-ads-media-buying, instagram-graph-api-playbook, meta-oauth-preflight, whatsapp-carousel-template, whatsapp-cloud-api, whatsapp-coexistence-guide, whatsapp-flows-builder
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:
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.
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.
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:
not by their order in the source.
and adapts the rest, so nothing is duplicated verbatim.
white space on LinkedIn, payoff-in-3-seconds on short video, one claim per carousel slide on Instagram, etc.).
markets) the actual language by funnel stage: TOFU, MOFU, BOFU.
voice per channel, mention the product at the end as a natural conclusion.
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.
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:
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:
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")`.
Instagram Graph API Playbook
A production-hardened Claude skill that turns the messy, error-prone Instagram Graph API into a step-by-step playbook — built from real shipping experience, with the exact failures and fixes the official docs never mention.
What it does
It gives Claude (and you) a complete, battle-tested reference for building Instagram integrations on top of the Meta/Facebook Graph API. Whenever you connect an Instagram account, build an Instagram feature, or hit a cryptic Graph API error, Claude loads this knowledge and answers with the correct endpoints, scopes, payloads, and fixes instead of guessing.
It covers, end to end:
It includes 8 copy-paste worked examples (cURL and Python) so you can go from zero to a published post and a live DM auto-reply quickly.
How to use it
1. Install the skill (see below). Claude auto-loads it when your request involves Instagram, the Meta/Facebook Graph API, OAuth for Pages, publishing, comments, DMs, insights, or webhooks. 2. Ask naturally, e.g. "connect this Instagram account with a system user token", "my IG DM replies aren't sending", "publish this image to Instagram", or "set up Instagram comment webhooks". 3. Claude responds using the playbook — correct scopes, endpoints, payloads, and the relevant gotcha. For hands-on work, open `EXAMPLES.md` and copy the snippet you need. 4. Replace every placeholder with your own values before running anything:
Prerequisites: a Meta App (App ID + Secret), an Instagram **Business or Creator** account linked to a Facebook Page, and a public HTTPS domain for the webhook callback.
How to install it
This is a Claude skill — installing it just means placing the folder where Claude looks for skills.
1. Unzip the package so its contents live at:
~/.claude/skills/instagram-graph-api-playbook/
The folder should contain `SKILL.md`, `EXAMPLES.md`, `README.md`, and `description.md`. 2. That's it — the skill auto-loads. Claude reads the `name` and `description` from `SKILL.md` and activates the skill automatically when a request matches (Instagram / Meta Graph API / OAuth / publishing / DMs / webhooks / insights). 3. To invoke it explicitly, use the Skill tool with the name `instagram-graph-api-playbook`, or just describe an Instagram Graph API task and Claude will pull it in.
No build step, dependencies, or API keys are required to install the skill itself. Your own Meta App credentials are only needed when you actually run the integration.
Meta OAuth Preflight
What it does
Meta OAuth Preflight is a Claude skill that turns the painful, trial-and-error process of wiring up a Meta / Facebook / Instagram OAuth login into a deterministic checklist. It encodes the hard-won knowledge of what actually breaks Meta OAuth integrations and gives Claude an exact diagnosis path for the four failure modes that derail almost every implementation:
silently returns a token missing the permissions you need
It also covers a 6-point pre-flight checklist (redirect URI, web-tier public paths, backend public paths, `config_id` usage, proxy header forwarding, and App Domains), a quick failure-mode diagnosis table, three worked examples (a happy-path Instagram connect, an "Unauthorized" debug, and a "redirect goes nowhere" debug), a fix for `ERR_CONNECTION_REFUSED` during heavy testing, and a clean pattern for labeling/routing connected accounts without environment variables.
How to use it
Once installed, the skill loads automatically and Claude consults it whenever you work on a Meta OAuth flow. Start a request like:
You can also invoke it explicitly via the Skill tool by name (`meta-oauth-preflight`).
Before applying the steps, substitute the documented placeholders for your own values: `YOUR_DASHBOARD_DOMAIN`, `YOUR_API_DOMAIN`, `YOUR_META_APP_ID`, `YOUR_META_APP_SECRET`, `YOUR_CONFIG_ID`, `YOUR_ROOT_DOMAIN`, and your own OAuth route paths. The skill is framework-agnostic — the grep commands and patterns adapt to whatever web server, backend, and proxy you run. Keep your app secret in an environment variable or secret manager; the skill never asks you to hardcode it.
How to install it
This is a standard Claude skill distributed as a folder.
1. Unzip the package so its contents live at `~/.claude/skills/meta-oauth-preflight/` (the folder should contain `README.md` and `description.md`). 2. That's it — Claude Code auto-loads skills from `~/.claude/skills/` on startup. No build step, no configuration. 3. To use it, just describe a Meta OAuth task in chat, or invoke it by name (`meta-oauth-preflight`) with the Skill tool.
To verify installation, run `ls ~/.claude/skills/meta-oauth-preflight/` and confirm `README.md` is present. If skills were already loaded, restart your Claude Code session so the new skill is picked up.
WhatsApp Carousel Template Builder
What it does
This is a Claude skill that gives Claude the complete, battle-tested knowledge to build, submit, and track **WhatsApp Carousel message templates** on the Meta WhatsApp Business Platform — the multi-card format of 2–10 horizontally swipeable cards, each with an image, a short body, and a URL button.
It encodes the things people get wrong:
outreach with no open conversation window) and an **interactive carousel** (runtime only, works inside the 24-hour window) — so Claude always picks the right one.
labels, ≤1024-char intro body, homogeneous cards (same button type and structure), and image specs (JPEG/PNG, ≤5MB, 1.91:1 or 1:1).
assembled carousel — in the same session, because handles expire.
3-card example, and a failure-mode troubleshooting table.
The result: fewer Meta rejections, correct copy lengths the first time, and a clean upload-then-submit flow you can run by hand or wire into your own backend.
How to use it
Once installed, the skill loads automatically when your request matches it. Just ask Claude in natural language, for example:
Claude will plan the cards within Meta's limits, walk through the upload-then-submit steps, and tell you what to check for approval. You can also invoke it explicitly with the Skill tool using the name `whatsapp-carousel-template`.
The skill is backend-agnostic: it uses placeholders (`YOUR_DOMAIN`, `YOUR_API_KEY`, `YOUR_TENANT_ID`) that you replace with your own API gateway / WhatsApp integration values.
How to install it
This is a Claude skill, so installation just means placing the folder where Claude looks for skills:
1. Unzip the package into your skills directory so the path is `~/.claude/skills/whatsapp-carousel-template/` and that folder contains `SKILL.md`. 2. That's it — Claude auto-loads skills from `~/.claude/skills/` on the next session. 3. To use it, either ask a matching question (it activates by description) or invoke it explicitly via the Skill tool with the name `whatsapp-carousel-template`.
No build step, no dependencies, no API keys are bundled — you supply your own backend endpoints and credentials when you use it.
WhatsApp Cloud API Skill
What it does
Turns Claude into a WhatsApp Business Platform (Meta Cloud API) expert. It knows the rules that make WhatsApp integrations succeed — and, more importantly, the rules whose violation makes them fail silently. The skill covers:
categories (MARKETING / UTILITY / AUTHENTICATION), variable rules, and the media-header gotcha that causes most template rejections.
exact size limits and payload shapes.
requirements.
versus when you must use an approved template, with a decision tree.
(132000, 132012, 132018, 131009, 131047, 131042, and more) to their real root cause and the fix, plus a deep-dive on the recurring 132012 (media-header template sent with body-only components).
to end with reproduce → inspect → fix curls.
The payoff: Claude writes correct WhatsApp payloads the first time and debugs failures by error code instead of guessing.
How to use it
Once installed, the skill activates automatically whenever you discuss WhatsApp Cloud API work — creating templates, sending media or catalog messages, or debugging a Meta error code. You can also invoke it explicitly with the Skill tool (`whatsapp-cloud-api`).
Everything is genericized with placeholders (`YOUR_PHONE_ID`, `YOUR_ACCESS_TOKEN`, `YOUR_WABA_ID`, `YOUR_CATALOG_ID`, `RECIPIENT_E164`, `GRAPH_VERSION`). Replace them with your own Meta values before running any command, and keep tokens in environment variables rather than in source.
Typical prompts:
Claude pulls the exact payload, validation rule, or error-code fix from the skill and applies it to your case. See `README.md` for the full quick-start and a map of the skill's sections.
How to install it
This is a Claude skill, so installation is just placing the folder where Claude auto-loads skills:
unzip whatsapp-cloud-api.zip -d ~/.claude/skills/ # results in: ~/.claude/skills/whatsapp-cloud-api/skill.md
Restart Claude Code (or your Claude client) so it picks up the new skill. It then loads automatically when relevant, and you can invoke it directly via the Skill tool using the name `whatsapp-cloud-api`. No dependencies, no build step — the skill is plain Markdown knowledge.
WhatsApp Coexistence Guide
What it does
This is a Claude skill that gives Claude expert, battle-tested knowledge of **WhatsApp coexistence mode** — running one phone number on both the WhatsApp Business App (the owner's mobile app) and the WhatsApp Cloud API at the same time. It is a compact bonus/add-on reference for anyone building on the WhatsApp Cloud API.
When loaded, it lets Claude:
It includes the gotchas that normally cost a day of debugging — most notably that the `smb_message_echoes` webhook value uses the `message_echoes` key (not `messages`), the strict 24h history window, and the requirement that chat backup be enabled before onboarding. Two worked debugging examples are included.
All vendor-specific identifiers are placeholders (`YOUR_META_APP_ID`, `YOUR_COEXISTENCE_CONFIG_ID`, `{phone_number_id}`) — drop in your own values.
How to use it
1. After installing, the skill auto-loads and Claude will draw on it whenever your request involves WhatsApp coexistence — for example: "onboard this number in coexistence mode", "old chats didn't sync", "the owner's phone replies aren't showing in our inbox", or "how do I offboard a coexistence number". 2. You can also invoke it explicitly with the Skill tool by its name, `whatsapp-coexistence-guide`. 3. Replace the placeholders (`YOUR_META_APP_ID`, `YOUR_COEXISTENCE_CONFIG_ID`, `{phone_number_id}`, and your own data-model flags such as the bot-active flag and `waba_id` column) with your platform's real values when applying the guidance. 4. Use the two worked examples as step-by-step debugging checklists when a sync or echo problem appears.
See `README.md` for a quick-start summary and the placeholder table.
How to install it
This is a Claude skill. To install:
1. Unzip the package into your Claude skills directory so the files live at `~/.claude/skills/whatsapp-coexistence-guide/` (the folder must contain `SKILL.md`). 2. That's it — Claude auto-loads skills from `~/.claude/skills/` on the next session. No build step or restart configuration is required. 3. To confirm, start a new session and either ask a WhatsApp coexistence question or invoke the skill by name (`whatsapp-coexistence-guide`) via the Skill tool.
WhatsApp Flows Builder
A Claude skill that turns Claude into an expert at building **WhatsApp Flows** — Meta's interactive in-chat forms (radio menus, dropdowns, text/date inputs, multi-screen wizards) for any WhatsApp Business number.
What it does
It gives Claude a complete, production-tested playbook for the full WhatsApp Flow lifecycle, so it can build flows correctly the first time instead of rediscovering Meta's quirks by trial and error. Specifically, the skill teaches Claude to:
It ships with five ready-to-adapt example files: a single-menu flow, a bilingual language-selection flow, a multi-screen booking wizard, a "What's Next" flow, and a complete submission handler in Python.
How to use it
Once installed, the skill activates automatically whenever you ask Claude to build, set up, design, or wire WhatsApp Flows — for example: "Build a WhatsApp Flow with a main menu and a call-back form," "Add an Arabic + English booking flow to my WhatsApp number," or "Why does my published flow's edit not take effect?"
You can also invoke it explicitly with the Skill tool (`whatsapp-flows-builder`).
Claude will follow the step-by-step process: design → author the JSON (starting from the examples) → publish → set routing → write the submission handler → verify. Provide your `phone_number_id`, `waba_id`, and how your backend stores flows, and Claude will map the generic data model (`flows`, `flow_submissions`, `numbers`) onto your stack. Replace the placeholders (`YOUR_PHONE_ID`, `YOUR_WABA_ID`, `YOUR_TENANT_ID`, `YOUR_ACCESS_TOKEN`, `YOUR_API_BASE`, `YOUR_API_KEY`) with your real values, and never commit real access tokens.
How to install it
This is a Claude skill. To install it:
1. Unzip the package into your Claude skills directory so the files live at `~/.claude/skills/whatsapp-flows-builder/` (the folder should contain `SKILL.md`, `README.md`, `description.md`, and the `examples/` directory). 2. That's it — Claude auto-loads skills from `~/.claude/skills/` on the next session, and the skill activates on relevant requests. 3. To run it on demand, invoke it via the Skill tool with the name `whatsapp-flows-builder`.
No dependencies, no build step, no API keys required to install. The skill is documentation-only; it instructs Claude and provides example files you adapt to your own backend.
Delivered as a ZIP of Claude skill folders. Unzip into your Claude skills directory; each skill auto-loads on the next session.

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