# Meta Ads Generator > One-prompt Meta ad generator. Input a product URL — extract brand voice/colors/imagery, scrape competitors and customer reviews, build a psychology pillar map, then generate 4 on-brand ad creatives. Trigger via `/meta-ads-generator` or when the user says "make meta ads for [product/url]". - Skill: `tenfoldmarc/meta-ads-generator` (Agent Skill, multi-file: 5 files) - Install (CLI): `npx skillmds@latest add tenfoldmarc/meta-ads-generator` - Raw SKILL.md: https://api.skillmd.com/api/skills/tenfoldmarc/meta-ads-generator/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tenfoldmarc (https://skillmd.com/u/tenfoldmarc) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tenfoldmarc/meta-ads-generator --- # Meta Ads Generator End-to-end pipeline: product URL → brand guidelines → psychology pillar map → 4 finished ad creatives in the brand's own style. Backend-agnostic: works with Higgsfield MCP, kie.ai, OpenAI, or any OpenAI-compatible image API the user prefers. --- ## First-run check Before doing anything, look for a `config.json` in this skill's directory. - **If it exists,** read it and proceed. - **If it does not exist,** open `setup.md` and run the setup wizard. Do not attempt to generate images until config is written. --- ## Inputs (ask once at start) 1. **Product URL** (required) — the actual landing/product page. 2. **Ad goal** (required, default = `purchase`) — purchase, lead, install, demo, etc. 3. **Primary audience** (optional — infer from page if skipped). 4. **Output folder** (optional — default `~/meta-ads-generator-output//`). If the user just drops a URL, assume goal = purchase and proceed. Don't interrogate. --- ## Pipeline ### Step 1 — Extract brand guidelines Use `WebFetch` (or the `clone-website` / `crawl` skill if installed) on the product URL. Pull: - **Copy samples** — headlines, subheads, CTAs, body voice - **Tone** — formal/casual, technical/playful, fear/aspiration - **Color palette** — dominant + accent (sample from CSS or screenshots) - **Typography** — font families used - **Product imagery** — download all hero/product shots to `/assets/product/` - **Logo** — pull SVG/PNG to `/assets/logo/` Save to `/brand-guidelines.md` with sections: Voice, Palette (hex), Fonts, Visual motifs, Do/Don't. ### Step 2 — Competitor + customer research Run in parallel: - **Competitors** — use `WebSearch` for "[product category] facebook ads" and Meta Ad Library lookups. Pull 5-10 active competitor ads in the same category. Note: hooks used, formats, claims, visual patterns. (If the `competitive-ads-extractor` skill is installed, use it.) - **Customer reviews** — scrape Trustpilot / Google reviews / Amazon / G2 / app store reviews via `WebSearch` + `WebFetch` (or `tavily-research` / `crawl` if installed). Pull 30-50 reviews minimum. Capture verbatim phrases. Save raw findings to `/research/competitors.md` and `/research/reviews.md`. ### Step 3 — Psychology pillar map Synthesize Step 2 into 4-6 **psychology pillars** — the emotional/rational drivers behind why this audience buys. Each pillar gets: - **Name** (e.g. "Status anxiety", "Time scarcity", "Insider knowledge") - **Trigger** — the underlying fear/desire - **Customer phrase** — verbatim quote from reviews proving it exists - **Competitor angle** — how rivals address it (or miss it) - **Ad angle for us** — how this brand should hit it differently Save to `/pillar-map.md`. ### Step 4 — Generate 4 ad concepts Pick the **top 4 pillars** (highest emotional charge × least covered by competitors). For each, draft: - **Hook** (3-7 words, on-screen text) - **Headline** (the typeset focal line) - **Subhead/proof** (one short line) - **CTA** - **Visual direction** (composition, product placement, palette use, mood) Save to `/ad-concepts.md`. Show the user — wait for approval or edits before generating images. ### Step 5 — Generate creatives (backend-routed) Read `config.json`. Route to the correct backend doc: - `backend: "higgsfield"` → follow `backends/higgsfield.md` - `backend: "kie"` → follow `backends/kie.md` - `backend: "openai"` → follow `backends/openai.md` - `backend: "custom"` → follow `backends/custom.md` **Reference ads injection:** before calling the backend, list any image files in the user's `reference_ads_folder` (set during setup). For each backend, pass these as visual reference inputs (Higgsfield: `media_upload` + `media_confirm`; OpenAI gpt-image-1: `image[]` parameter; kie / custom: per their schema). If a backend doesn't support image refs, summarize the references in plain language ("the user's saved reference ads tend to use [X] composition, [Y] color, [Z] type treatment") and prepend that to the prompt. **Universal prompt template** (each backend's doc shows how to wrap it in the right request shape): ``` On-brand Meta ad in {brand} style. Palette: {hex primary} dominant with {hex accent} accent. Typography mood: {brand font feeling}. Composition: {visual direction from concept}. Headline (typeset prominently): "{headline}" Subhead (smaller): "{subhead}" CTA pill: "{cta}" Product: use the uploaded product image as the hero element. Logo: small, top-left or bottom-right. 1080×1350 safe zone — keep top 100px and bottom 100px clear of critical text. Match the design language of the user's reference ads (provided as visual references). NO purple-on-white gradient. NO Inter / Roboto / Arial. NO AI-generated faces unless the brand uses photography of real people. ``` Run **one image generation call at a time** (parallel calls time out on most providers). ### Step 6 — Review + save Save all 4 to `/`. On macOS run `open -a Preview /*.png` so the user can scan them. Stage approved ones in `/keepers/`. If the user wants to launch directly to Meta, they need the Meta Ads CLI or Meta Ads MCP installed and authenticated separately — this skill stops at creative generation. --- ## Hard rules - **No em dashes** in any ad copy. - **One image generation call at a time.** - **Always present concepts before generating images.** Don't burn API spend on unapproved directions. - **Brand voice over user voice.** This skill writes in the *client's / product's* voice, not the operator's. - **Cite sources in pillar map.** Every pillar needs a real customer quote — no fabricated psychology. - **Safe zones** — 1080×1350 output, keep 100px top/bottom clear. - **Reference ads matter.** If the user has saved reference ads in their `reference_ads_folder`, always include them. They're the strongest signal of what the user considers a "good ad." --- Built by [@tenfoldmarc](https://instagram.com/tenfoldmarc). Follow for daily AI automation builds — real systems, not theory.