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Ad Creative

Community
indranilbanerjee
ad-creative

Write ad copy variants to each platform's specs, policy-checked and in brand voice. "write ad copy for Meta"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill namead-creative
Stars
866
Forks
138
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by indranilbanerjee on GitHub. Read the source before you install it.

Installation

Install the Ad Creative AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/ad-creative
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/ad-creative .claude/skills/ad-creative
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ad Creative in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ad Creative on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ad Creative is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/digital-marketing-pro:ad-creative

Purpose

Generate high-performing ad copy variations tailored to specific platforms and formats. Each variation is scored for quality and compliance, with recommendations for testing strategy.

Input Required

The user must provide (or will be prompted for):

  • Product/service: What is being advertised
  • Platform(s): Google Ads, Meta (Facebook/Instagram), LinkedIn, TikTok, X, Pinterest
  • Ad format: RSA, single image, carousel, video script, story, etc. For video ad scripts (6s bumper, 15s skippable, 30s spot, UGC-style), route to /digital-marketing-pro:video-script — its step 2.4 carries the per-format structural rules (the 5-second skip deadline, one-message bumpers, native-style disclosure) and its output passes the /check gate. This skill owns the copy layer around the video: headlines, descriptions, and CTAs.
  • Campaign objective: Awareness, traffic, leads, conversions, app installs
  • Target audience: Who the ads are for
  • Key offer/CTA: Promotion, value prop, or desired action
  • Landing page URL: Where the ad will drive traffic (optional)

Process

  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, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. 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. Identify platform-specific constraints: character limits, format requirements, policy restrictions
  3. Generate 3-5 ad copy variations per platform, each with a distinct angle (benefit, urgency, social proof, curiosity, direct)
  4. Score each variation on: brand alignment, clarity, emotional impact, CTA strength, policy compliance
  5. Flag any potential policy violations (restricted claims, prohibited language)
  6. Recommend A/B testing groupings and priority order
  7. If landing page URL is provided, check message match between ad and page

Output

Per platform, a set of ad copy variations including:

  • Headlines, descriptions, and CTAs formatted to platform specifications
  • Quality score (1-10) with reasoning per variation
  • Policy compliance check with flagged issues
  • A/B testing recommendation with hypothesis for each test
  • Message match assessment (if landing page provided)
  • Creative direction notes for visual/video assets (see AI image/video generation guidance below)

AI image & video generation guidance (May 2026)

When the brief includes static visuals or short-form video, recommend the model that fits the use case and call out the compliance overhead:

Asset typeRecommended model (May 2026)When to useCompliance note
Product hero stills, lifestyle photography, e-commerce tilesGoogle Nano Banana Pro (Gemini 3 Pro Image, multi-image composition, character/object consistency)Strong text rendering inside images (logos, on-pack copy), brand-character consistency across a campaign, high-fidelity product realism.Outputs ship with SynthID watermarking by default; ALSO sign with C2PA via /digital-marketing-pro:c2pa-metadata before any EU distribution.
Short-form social video (≤8s reels, organic vertical)Gemini Veo 3.1 (synchronized native audio, longer/more coherent clips than Veo 3.0)Reels, TikTok, Shorts cut-downs, ad-creative experimentation.Synthetic-voice / synthetic-human content must carry a visible deepfake disclosure under EU Article 50 — see skills/context-engine/compliance-rules.md §1.1b.
Long-form video with native audio / multi-modal storytellingGemini Omni (multimodal generation, May 2026 I/O launch — text + image + audio + video unified)Connected-content campaigns where a single brief produces a hero film, social cut-downs, audio version, and stills consistently. Best for brands with disciplined creative governance — Omni's range outpaces most brand-safety review processes.Default Omni outputs carry SynthID + Gemini provenance markers. Add C2PA before EU publish. Run synthetic-person outputs past Legal — Omni's photoreal humans frequently hit "substantial AI manipulation" thresholds under Article 50.
Static image — fast iteration / mood-boardingOpenAI gpt-image-2, Midjourney v7, Adobe FireflyInternal mood boards, concept exploration. Not for shipped EU creative without C2PA.None of these auto-embed C2PA — manually sign with /digital-marketing-pro:c2pa-metadata before EU publish.

Workflow recommendation:

  1. Brief the visual concept in this skill's output (subject, composition, brand-character constraints, on-pack text if any).
  2. Hand the visual spec to whichever production track owns image/video — your design team, any AI image/video tool (the model table above maps use-case → generator), or a connected design platform (e.g. the Canva / Figma MCP connectors listed in /digital-marketing-pro:integrations). The spec is deliberately tool-agnostic: any production track can consume it unchanged.
  3. Treat all AI-generated visuals as Article 50 in-scope until proven otherwise. The pre-publish gate (/digital-marketing-pro:check) blocks unsigned AI assets for EU-targeted campaigns.

Agents Used

  • content-creator — Ad copy generation, angle development, CTA crafting
  • media-buyer — Platform specs, policy compliance, testing strategy
  • brand-guardian — Voice alignment, compliance review, claim verification

Frequently asked questions

What does the Ad Creative AI skill do?

Write ad copy variants to each platform's specs, policy-checked and in brand voice. "write ad copy for Meta"

Why use Ad Creative on TypingMind?

Because you install it once and use it with any model. Ad Creative is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ad Creative in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/ad-creative. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ad Creative?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ad Creative?

As many as you like. As long as a model supports skills, you can use Ad Creative with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ad Creative AI skill free?

Yes. It is published on GitHub by indranilbanerjee under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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