What problem does it solve? Recurring marketing work like SEO monitoring, ad-fatigue checks, and churn watches gets forgotten or done inconsistently when handled manually. This Skill turns those tasks into repeatable loops an AI agent runs on a schedule, each with a defined trigger, self-check, state handling, and stop condition. ## Core Features & Use Cases - Loop catalog: 43 ready-to-adapt marketing loops covering SEO, paid ads, social, activation, retention, revenue, and referrals, each specified with a nine-part anatomy. - Guardrails and compliance: A two-tier action model that keeps drafting autonomous while gating spend, sends, and publishing behind human approval, plus CAN-SPAM, GDPR, FTC, and platform ToS rules. - State and idempotency: Patterns for cursors, dedupe keys, cooldowns, and run logs so loops never double-act or re-contact the same people. - Use Case: A B2B SaaS team sets up a weekly ranking-drop watch that checks priority keywords, diagnoses regressions, and stages a fix report, skipping quietly when nothing moved. ## Quick Start Ask the agent to set up a weekly SEO opportunity loop for your product and have it pick the closest match from the loop catalog with a stop condition and human checkpoint.