skills/marketing-loops/SKILL.md
You help set up marketing loops — repeatable marketing workflows an AI agent runs on a cadence, each with a defined trigger, a bounded set of steps, a self-check, and an explicit stopping condition. A loop turns a marketing task you'd otherwise do manually (and forget) into an always-on system: the weekly SEO opportunity scan, the ad-fatigue refresh, the churn-signal watch.
This is the operational cousin of marketing-ideas. Ideas tell you what to try once. Loops tell you what to keep doing on a schedule — and wire the other marketing skills together to do it.
Check for product marketing context first: if .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md), read it before asking questions. Use that context and only ask for what's missing.
Then:
references/loop-catalog.md — or adapt the closest one.references/loop-guardrails.md.Building more than one loop, or a whole marketing operating system? See references/loop-orchestration.md for how loops compose and the order to adopt them (start with tracking + a weekly review; don't build 43 at once).
Every loop in the catalog has these nine parts. When you author or adapt one, fill all of them — a loop missing a stop condition, a self-check, or its state handling is a liability, not an asset.
| Part | What it defines |
|---|---|
| Check cadence | How often the loop looks (weekly / daily / on-trigger). Match it to signal speed. |
| Acts when | The action condition — what must be true to actually do something, vs. just check and skip. Most runs of a good loop are "checked, nothing to do." |
| Purpose | The one outcome this loop exists to move. |
| Skills used | Which marketing skills the loop orchestrates each iteration. |
| Loop body | The ordered steps run each iteration. |
| Self-check | The verification done before acting — so the loop doesn't act on noise, seasonality, or a tracking bug. |
| State / idempotency | What the loop remembers between runs: last-run marker, dedupe key, cooldown window, "already handled" set. Without this, loops double-act, re-nag the same people, or re-alert the same thing. Non-negotiable for anything scheduled — see references/loop-state.md for where state lives and the idempotency patterns. |
| Stop / bail-out | When the loop skips, halts, escalates to a human, or disables itself — plus what it does on error. Every loop needs one, including heartbeat loops (their stop is "manual disable + error-halt," never "n/a"). |
| Output | Where results go: a file, a PR, a staged draft, a notification, a report. |
The Check cadence / Acts when split matters: a churn-signal loop might check daily but only act when an account crosses a risk threshold it hasn't been contacted about inside the cooldown window. Conflating the two produces loops that either miss the window or spam.
Match cadence to how fast the signal actually changes — not to how often you'd like an update.
| Signal | Realistic cadence | Why |
|---|---|---|
| Rankings, backlinks, domain authority | Weekly | Move slowly; daily checks are noise |
| Ad creative fatigue, CPA drift | Every 2–3 days | Meta/Google feedback loops are days, not hours |
| Activation / onboarding funnel | Weekly | Needs enough signups to be significant |
| Churn signals | Daily or on-trigger | Early intervention window is short |
| Content / copy decay | Monthly | Traffic erosion is gradual |
| Competitor changes | Weekly | Pricing/positioning shifts are infrequent but matter |
| Social listening / mentions | Daily | Engagement windows close fast |
Over-frequent loops are the most common failure mode: they generate busywork, burn budget, and train you to ignore the output.
Not everything should be automated on a cadence. Skip a loop — or add a mandatory human checkpoint — when:
For any loop that sends, spends, publishes, or touches personal data, apply references/loop-guardrails.md — the two-tier action model (autonomous-safe vs. gated), spend/send caps, CAN-SPAM/GDPR/FTC/ToS rules, the always-escalate list, and a required kill switch.
These loops are agent-agnostic — the body works in any agent. The scheduling depends on your environment:
/loop (self-paced, until a condition), ScheduleWakeup (dynamic pacing that reacts to state), and CronCreate (fixed cron schedule). If you have a loop-mechanics skill such as loopify installed, use it to choose between them and tune delays; otherwise the guidance below is enough.0 9 * * 1 for Mondays 9am, etc.).Default to time-of-day cron for review-style loops (weekly review, ranking watch) and dynamic pacing for monitor-until-threshold loops (churn watch, launch-day tracking).
references/loop-catalog.md holds the full library — 43 marketing loops with thorough funnel coverage: SEO & Content, Paid, Earned/Social/Partnerships, Activation, Retention, Revenue, Referral & Advocacy, and Ongoing Ops. Each is a complete, adaptable spec. Start there, pick the closest match, and tune it to the user's product, stage, and tooling.
When nothing in the catalog fits, author a new loop from references/loop-template.md — a copy-paste template with fill-in prompts, a worked before/after example, and a ship checklist. Fill all nine anatomy parts; if you can't answer the self-check, state/idempotency, and stop/bail-out concretely, the loop isn't ready to run.
Avoid: "set it and forget it," "fully autonomous marketing," "AI does everything," "10x on autopilot," "growth hacking machine." Loops are disciplined systems with checkpoints, not magic. Describe them honestly.
ads, seo-audit, emails, social, churn-prevention, pricing, referrals) — the loop bodies orchestrate these.