cyberneticlibrary

Generate high-performing ad creative

ad-creativeskillsetup L1368
marian2js/opengoat

Causal-lift measurements

ad-copy-generation-16pp vs no-skill baselinewith-skill 80% · baseline 96%

Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.

What it does

Generate and iterate ad creative (headlines, descriptions, primary text)

Best for

Performance marketer optimizing ad creative across multiple platforms — covers platform-specific specs, generates from scratch or iterates from performance data, validates copy length against platform limits.

Inputs
  • · Platform and format (Google Ads, Meta, LinkedIn, TikTok, Twitter/X)
  • · Product/feature being promoted
  • · Target audience and intent stage
  • · Core value proposition and differentiators
  • · Existing performance data (optional — CTR, conversion rate, ROAS)
Outputs
  • · Ad creative set (headlines, descriptions, primary text) per platform
  • · Winning pattern analysis (if iterating from performance data)
  • · Platform-specific spec validation
Preconditions
  • · Platform context files (PRODUCT.md, MARKET.md, GROWTH.md) available (optional)
  • · Product marketing messaging established
Failure modes
  • · Truncates without platform validation if copy exceeds limits
  • · Doesn't test creative in live campaign — outputs static copy only
  • · Performance iteration assumes CSV/paste data is properly structured
  • · Doesn't account for A/B test statistical significance
Trust signals
  • · Platform specs table with character limits (Google RSA, Meta, LinkedIn, TikTok, Twitter/X)
  • · RSA rules (independent headlines, keyword-focused, benefit-focused, CTA headlines)
  • · Two modes: generate from scratch vs. iterate from performance data
  • · Validation loop pattern (performance data → pattern analysis → new variations)