creative-health

creative-health is an Ad creative & visual marketing skill for AI agents, published by indranilbanerjee in the digital-marketing-pro repository on GitHub. Skillspace rates creative-health D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Assess ad creative fatigue across active campaigns — scores each creative 0-100 via creative-fatigue-predictor.py (CTR, CPM, and engagement vs baseline, frequency saturation, time running), predicts days until fatigue, and delivers refresh briefs, A/B test plans, and a priority list ranked by estimated spend waste. Triggers on \"/digital-marketing-pro:creative-health\", \"are our ads fatiguing\", \"CTR is dropping on our ads\", \"when should we refresh creatives\", \"which ads are wasting spend\". Needs per-creative performance data (exported or from connected ad platform MCPs). Analysis and recommendations only — it does not pause or launch ads. Reads the brand profile and visual-identity restrictions for refresh constraints.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
815

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubindranilbanerjee/digital-marketing-pro

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • 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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