marcosmodly/marketing-skill/ad-copy-generator

Claude Code and agent skill by marcosmodly/marketing-skill

Trust tier 2
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LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Writes paid ad copy for Meta (Facebook and Instagram), Google Search, and LinkedIn: several variants, each testing a different hook, sized to each platform's limits. Use whenever someone wants ads, ad headlines, PPC or paid social copy, or variants to A/B test, even for one quick ad.

Install

npx vskill@latest install marcosmodly/marketing-skill/ad-copy-generator

SKILL.md

Ad Copy Generator

Purpose

Turn one offer or piece of source content into several genuinely different paid-ad copy variants — not paraphrases of each other, but different hook angles (pain point, benefit, social proof, urgency, etc.) suitable for real A/B testing — sized to fit each target platform's character constraints.

Step-by-step process

Plugin root: if a path below still shows an unexpanded CLAUDE_PLUGIN_ROOT placeholder (Claude Code fills it in; other agents such as Codex don't), resolve it before using any of them: take the output of printenv CLAUDE_PLUGIN_ROOT if it prints a path, otherwise walk up from this file's folder to the first folder that contains references/brand-voice.md, and if neither works, ask the user where this plugin lives. Use that absolute path in every file path and shell command below.

  1. Check onboarding status. Read

${CLAUDE_PLUGIN_ROOT}/references/brand-voice.md. If it doesn't exist, or its first line is <!-- MARKETING-SKILL:UNCONFIGURED -->, pause and ask the user this plugin's 4 setup questions (priority task; content types to produce; target audience + tone; default output format — same as /marketing-skill:marketing-setup) before continuing, then save the answers into that file and flip the marker to CONFIGURED with today's date. Otherwise, read it for tone, audience, and banned words below. If the file is unconfigured but the user already said to skip setup or use the defaults, don't ask: use its placeholder defaults for this run, say so in one line, and leave the marker as it is.

  1. Confirm scope.
  • The offer/product/source content (paste, file, URL, or "our

product" — check README*/package.json/pyproject.toml at the project root first if so, same as content-repurposer).

  • Which platform(s): Meta (Facebook/Instagram), Google Search (RSA),

LinkedIn Ads — default to asking rather than guessing, since limits and tone differ a lot by platform.

  • The landing page URL and CTA, if any — kept identical across

variants unless the user wants CTA itself tested as a variable.

  • How many variants per platform (default: 3, each a different hook

angle).

  1. Draft variants, one distinct hook angle per variant (e.g. pain

point, concrete benefit/outcome, social proof, urgency/scarcity — don't reuse the same angle twice in one batch). Never invent a statistic, customer count, or claim not present in the source content.

  1. Fit platform constraints. Apply the character guidance in

"Platform constraints" below and show the actual character count next to each field — don't just assert it fits.

  1. Self-check before finalizing: scan every variant against the

banned-words list, confirm the CTA/link is identical across variants (unless CTA is deliberately being tested), and confirm no two variants in the same batch use the same hook angle.

When to use this skill

Trigger on requests like:

  • "Write ad copy for [product/offer]"
  • "Give me Meta ad variants for..."
  • "Google ad headlines for..."
  • "A/B test copy for our LinkedIn ad"

Platform constraints

These are commonly-cited platform guidelines, not values this skill can
verify live — character limits and truncation points shift over time,
so confirm current specs in the platform's own ad-manager UI before
finalizing a real campaign, especially close to a limit.
PlatformFieldGuidance
Google Search (RSA)Headline≤30 characters, up to 15 per ad
Google Search (RSA)Description≤90 characters, up to 4 per ad
Meta (Facebook/Instagram)Primary textFull text allowed, but plan for truncation around ~125 characters on most placements
Meta (Facebook/Instagram)Headline~27–40 characters before truncation
LinkedIn AdsIntro text~150 characters before truncation on most placements
LinkedIn AdsHeadline~70 characters before truncation

Output structure (required)

Use this exact section order, as Markdown ## headings, per platform requested:

[Platform Name]

A table per variant: Variant | Hook Angle | Headline (chars) | Body/Primary Text (chars) | Description (chars, if applicable) | CTA. Follow the table with one line per variant naming why that angle was chosen.

Formatting rules

  • Every variant in a batch must use a distinct hook angle — flag it if

fewer distinct angles are possible than variants requested, rather than silently repeating one.

  • Show a character count for every length-constrained field.
  • Never fabricate a statistic, review count, or claim absent from the

source.

  • Apply references/brand-voice.md banned words and tone, adapted to

each platform's norms (e.g. LinkedIn skews more formal than Meta).

  • Keep the CTA/link identical across variants unless the user explicitly

wants CTA tested as its own variable.

Example output

Fictional example: 2 Meta variants for "one-click export."
markdown
### Meta (Facebook/Instagram)
| Variant | Hook Angle | Headline (chars) | Primary Text (chars) | CTA |
|---|---|---|---|---|
| A | Pain point | "Stop Exporting By Hand" (22) | "Every manual export is ten minutes you don't get back. One-click export replaces the whole process — pick a report, done." (121) | Learn More |
| B | Concrete benefit | "Export Reports In One Click" (27) | "No templates. No copy-pasting. Just pick a report and format — it's live for every customer today." (98) | Learn More |
-Variant A leads with the friction the buyer already feels (manual
export as wasted time).
-Variant B leads with the mechanism itself as the selling point (how
fast and simple it now is).

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
57
Repository forks
7
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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