asa-weekly-optimization
asa-weekly-optimization is a Paid ads & campaigns skill for AI agents, published by appeeky in the ua-skills repository on GitHub. Skillspace rates asa-weekly-optimization D (66/100) and it passed the safety scan; the rating is based on static analysis only.
When the user wants a weekly Apple Search Ads optimization routine — keyword bids, pauses, new opportunities, and budget pacing. Use when the user mentions "weekly ASA", "optimize Apple Search Ads", "ASA keywords", "ASA maintenance", or "ASA bid changes". For profitability analysis, see asa-roas-analysis. For automated scale playbook, see asa-admaxxing.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 55
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 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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