ad-copywriter

Generate Hebrew Facebook and Instagram ad copy from structured business data and campaign configs.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/yahav123147/paid-ads-cro-skills --skill ad-copywriter-yahav123147
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ad-copywriter
Source: https://github.com/yahav123147/paid-ads-cro-skills/tree/main/skills/ad-copywriter
Command: npx skills add https://github.com/yahav123147/paid-ads-cro-skills --skill ad-copywriter-yahav123147

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps marketers and entrepreneurs generate high-converting Facebook and Instagram ad copy in Hebrew, optimized with proven direct-response structures so the message stops the scroll and drives action.

Core Features & Use Cases

  • Hebrew Meta Ad Copy Generation: Produces complete ad drafts tailored for Facebook and Instagram feed, stories, and reels.
  • Direct-Response Structure: Uses an engineered flow including hook design, open loops, pain-to-solution bridging, benefits stacking, and CTA construction.
  • Authority Weaving From Your Inputs: Integrates authority, competitive advantage, and social proof into multiple points of the ad (not as a standalone credibility block).
  • Data-Driven Ad Variants: Ad type, angle, tone, platform, headline formula, and CTA type are selected from the provided campaign configuration.
  • Corpus-Guided Patterning: Reads a Hebrew ads corpus for pattern study (structure and techniques, not text copying) to match what performs.

Quick Start

Use the ad-copywriter skill to write a new Hebrew Facebook or Instagram ad by providing your business_data and campaign_config as the structured JSON input expected by the skill.

Frequently Asked Questions about ad-copywriter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate Hebrew Facebook and Instagram ad copy with direct response structures?

You can generate Hebrew Meta ads by providing structured business data and campaign configuration as JSON input, which produces scroll-stopping copy with hooks, open loops, benefits stacking, and CTAs for feed, stories, and reels.

What direct response copywriting techniques does this use for Meta ads?

It applies hook design, open loops, pain-to-solution bridging, benefits stacking, and authority weaving, integrating competitive advantage and social proof throughout the ad rather than as standalone credibility blocks.

Can I customize ad variants for different Meta placements and audience targeting?

Yes, you can specify ad type, angle, tone, platform, headline formula, CTA type, and audience gender targeting across feed, stories, and reels through the campaign configuration JSON input.

Do I need to provide my own Hebrew ads corpus for pattern study?

The skill reads a Hebrew ads corpus for pattern study, matching structure and techniques from what performs, though the metadata does not specify whether this corpus is built-in or user-provided.

What's the best way to structure business data inputs for Hebrew ad copy generation?

Structure your inputs as business data and campaign configuration in JSON format, including details on ad type, angle, tone, platform, headline formula, CTA type, and audience gender targeting to get a complete ad output.

Why are my Hebrew Meta ads not converting despite using direct response copy?

Conversion may be limited if authority, competitive advantage, and social proof are not woven throughout the ad, or if the copy lacks proper hook constraints, open loops, and benefits stacking in a first-person, single-reader voice.