ad-creative
ad-creative is an Ad creative & visual marketing skill for AI agents, published by coreyhaines31 in the marketingskills repository on GitHub. Skillspace rates ad-creative D (65/100) and it passed the safety scan; a judge model has also reviewed it.
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' 'static ads,' 'ad templates,' 'iMessage ad,' 'chat reveal ad,' 'ChatGPT ad,' 'Apple Notes ad,' 'AirDrop ad,' 'creative strategy,' 'creative roadmap,' 'creative retro,' 'hook writing,' 'creative review page,' 'present ad creative for approval,' 'motion video ad,' 'faceless video ad,' 'UGC ad,' 'greenscreen ad,' 'TikTok/Reels ad format,' 'which ad format to make,' 'Meta ad format tier list,' or 'creative format taxonomy.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see…
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 49,936
Placed #1 of 3 when judged against its near-duplicates in Ad creative & visual marketing.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 3 when judged against its near-duplicates in Ad creative & visual marketing.
- Trigger
90 90 - Instructions
85 85 - Specificity
88 88 - Safety
80 80 - Disclosure
85 85 - Maintenance
75 75
Four well-scoped modes including a grounded-inputs corpus with explicit no-fabrication rules and citation requirements, the most mature of the three variants.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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