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Marketing Loops

Corey HainesCommunityCreated by Corey Haines

  • Skill
  • Workflow
  • Automation and integrations
  • MIT
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From the author

When the user wants to set up a recurring, self-running marketing workflow — a repeatable loop an AI agent runs on a cadence (weekly, daily, on a trigger) rather than a one-off task. Also use when the user mentions 'marketing loop,' 'recurring marketing workflow,' 'automate my marketing,' 'marketing on autopilot,' 'weekly marketing review,' 'ad fatigue check,' 'weekly ads check,' 'content refresh loop,' 'churn watch,' 'ranking drop alert,' 'run my SEO,' 'SEO operator,' 'daily SEO agent,' 'run my outbound,' 'AI SDR,' 'reply triage,' 'always-on marketing,' 'marketing automation workflow,' or 'run this every week.' Use this to pick, adapt, and schedule an ongoing marketing loop that orchestrates the other marketing skills. For one-off marketing ideas, see marketing-ideas. For the experimentation loop specifically, see ab-testing.
— the description by Corey Haines

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Marketing Loops transforms manual, recurring marketing tasks into always-on systems. Rather than one-off actions, this skill helps you design, implement, and schedule loops that monitor signals, perform analysis, and execute tasks based on specific triggers. It emphasizes the importance of state management, self-checks, and human guardrails to ensure that automated marketing remains disciplined, safe, and effective.

What it does

  • Sets up recurring marketing workflows with defined cadences (weekly, daily, or trigger-based).
  • Orchestrates other marketing skills to perform specific, repeatable tasks.
  • Implements self-check mechanisms to prevent acting on noise or data errors.
  • Manages loop state to ensure idempotency and prevent duplicate actions.
  • Provides a framework for defining stop conditions and human-in-the-loop checkpoints.
  • Integrates with scheduling tools to automate execution.

When to use it

  • When you need to automate recurring tasks like SEO monitoring, ad fatigue checks, or churn signals.
  • When you want to transition from manual, one-off marketing tasks to a sustainable, always-on system.
  • When you need to ensure consistent, scheduled execution of marketing operations.
  • When you need to build a marketing operating system that coordinates multiple specialized tasks.

Advantages

  • Reduces manual overhead by automating repetitive marketing maintenance.
  • Ensures consistency in monitoring and responding to marketing signals.
  • Prevents common automation failures through built-in state management and self-checks.
  • Provides clear guardrails for safety, compliance, and human oversight.
  • Scales marketing efforts without increasing manual workload.

Usage examples

“Set up a weekly SEO loop to monitor my site's rankings and suggest content updates.”
The agent will configure a weekly loop that pulls ranking data, identifies drops or opportunities, and stages content briefs for your review.
“I need a daily churn watch loop for my SaaS product.”
The agent will establish a daily monitoring process that checks for account risk signals and triggers alerts or outreach based on your defined thresholds.
“Can you automate my weekly ads check to look for ad fatigue?”
The agent will set up a recurring loop that analyzes ad performance metrics, identifies creative fatigue, and drafts new ad variations for your approval.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/coreyhaines31/marketing-loops/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip marketing-loops.zip -d .agents/skills

Documentation by Corey Haines

Marketing Loops

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.

How to Use This Skill

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:

  1. Clarify the job. What outcome should this loop protect or grow? (rankings, ad efficiency, activation, retention, revenue, referrals)

  2. Pick a loop from the catalog in references/loop-catalog.md — or adapt the closest one.

  3. Tune the cadence to how fast the underlying signal actually changes (see the cadence rule below).

  4. Confirm the human checkpoint. Decide what the loop does autonomously vs. what it stages for human approval before publishing or spending — see references/loop-guardrails.md.

  5. Schedule it (see "Scheduling a loop" below).

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 them all at once).

Anatomy of a Marketing Loop

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.

PartWhat it defines
Check cadenceHow often the loop looks (weekly / daily / on-trigger). Match it to signal speed.
Acts whenThe 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."
PurposeThe one outcome this loop exists to move.
Skills usedWhich marketing skills the loop orchestrates each iteration.
Loop bodyThe ordered steps run each iteration.
Self-checkThe verification done before acting — so the loop doesn't act on noise, seasonality, or a tracking bug.
State / idempotencyWhat 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-outWhen 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").
OutputWhere 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.

The cadence rule

Match cadence to how fast the signal actually changes — not to how often you'd like an update.

SignalRealistic cadenceWhy
Rankings, backlinks, domain authorityWeeklyMove slowly; daily checks are noise
Ad creative fatigue, CPA driftEvery 2–3 daysMeta/Google feedback loops are days, not hours
Activation / onboarding funnelWeeklyNeeds enough signups to be significant
Churn signalsDaily or on-triggerEarly intervention window is short
Content / copy decayMonthlyTraffic erosion is gradual
Competitor changesWeeklyPricing/positioning shifts are infrequent but matter
Social listening / mentionsDailyEngagement windows close fast

Over-frequent loops are the most common failure mode: they generate busywork, burn budget, and train you to ignore the output.

When NOT to loop

Not everything should be automated on a cadence. Skip a loop — or add a mandatory human checkpoint — when:

  • Strategy or creative direction is the real work. Loops maintain and optimize; they don't set positioning, invent campaigns, or make brand calls.

  • The action publishes or spends without review. Auto-drafting an ad, email, or post is fine. Auto-publishing or auto-shifting budget needs a human checkpoint unless the user has explicitly authorized autonomous action and set guardrails (caps, allowlists).

  • The signal is too sparse to be significant. A weekly conversion-rate loop on 40 visitors/week is measuring noise.

  • It's a vanity loop. If nobody acts on the output, delete the loop. A loop that emails a dashboard nobody reads is worse than nothing.

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.

Scheduling a loop

These loops are agent-agnostic — the body works in any agent. The scheduling depends on your environment:

  • Claude Code — native options: /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.

  • Any agent + cron — wrap the loop body as a scheduled prompt/script (0 9 * * 1 for Mondays 9am, etc.).

  • Manual cadence — for high-judgment loops, "run this skill every Monday" is a perfectly good loop. The value is the repeatable body, not the automation.

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).

The Catalog

references/loop-catalog.md holds the full library — 60 marketing loops with thorough funnel coverage: SEO & Content, Paid, Earned/Social/Partnerships, Outbound, 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.

Running a whole channel: the SEO operator

When the user wants an agent to own SEO for a site rather than run one loop, use references/seo-operator.md. It bundles the SEO loops (site health, claim drift, striking-distance push, AI-answer check, keyword gap, content decay, competitor watch, and more) into one schedule with shared memory in .agents/seo/, a first-run checklist, operating rules, a writing gate, and a one-screen weekly report.

Running outbound: the outbound operator

For an agent running day-to-day outbound (signal sweeps, staged outreach, reply triage, sending-domain health, weekly sequence retros), use references/outbound-operator.md. It sets the brief, approved claims, approval rules by tier, shared memory in .agents/outbound/, and a weekly report.

Authoring a new loop

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.

Anti-patterns

  • Looping without a stop condition → runaway spend or infinite churn.

  • Same cadence for every loop → most run too often and get ignored.

  • No self-check → the loop acts on noise, seasonality, or a tracking bug.

  • No human checkpoint on spend/publish actions.

  • Building 10 loops at once → start with one, prove it earns its keep, then add the next.

Banned vocabulary

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.

  • marketing-ideas — one-off tactics and inspiration (what to try). Loops operationalize the ones worth repeating.

  • ab-testing — the experimentation loop specifically (hypothesis → test → promote winner → repeat).

  • analytics — most loops read from analytics to decide whether to act.

  • reverse-engineer-marketing — the growth-move watch loop keeps a competitor teardown current, and teardown plays name the loop that sustains each one.

  • Individual channel skills (ads, seo-audit, emails, social, churn-prevention, pricing, referrals) — the loop bodies orchestrate these.

Files

references/loop-template.md

Loop Template

A copy-paste template for authoring your own marketing loop. Fill every one of the nine parts — a loop missing its state/idempotency, self-check, or stop/bail-out isn't a system, it's a way to do the wrong thing on a schedule.

Before you start, sanity-check that this should be a loop at all (see "When NOT to loop" in SKILL.md): it's recurring, signal-driven, and doesn't require human judgment to set strategy or creative direction each run.


Blank template (copy this)

### The <name> loop
- **Check cadence**: <how often it looks — match to how fast the signal changes, not how often you'd like an update>
- **Acts when**: <the action condition — what must be true to actually DO something vs. just check and skip. Most runs should skip.>
- **Purpose**: <the ONE outcome this loop exists to move>
- **Skills used**: <which marketing skills the loop orchestrates each run>
- **Loop body**:
  1. <step — usually: pull data / diff vs. last run>
  2. <step — identify what, if anything, crossed the action condition>
  3. <step — draft or stage the response>
- **Self-check**: <the verification done BEFORE acting — is the signal real vs. noise/seasonality/tracking bug? Is the sample big enough to be significant?>
- **State / idempotency**: <what it remembers between runs — last-run marker, dedupe key, cooldown window, "already handled" set — so it doesn't double-act or re-nag the same people>
- **Stop / bail-out**: <when it skips, halts, escalates to a human, or disables itself — plus what it does on error. Include a human checkpoint before anything that spends money or publishes.>
- **Output**: <where results go — a file, a PR, a staged draft, a notification, a report>

Fill-in prompts (answer these, in order)

  1. What outcome does this protect or grow? (rankings, ad efficiency, activation, retention, revenue, referrals) → Purpose

  2. How fast does that signal actually change? (hours / days / weeks / months) → Check cadence

  3. What has to be true before it's worth acting? (a threshold crossed, a new item appeared, a regression vs. baseline) → Acts when

  4. What data does it read and what does it produce each run? → Loop body + Output

  5. What would make it act on a false signal? (noise, seasonality, a tracking break, too-small a sample) → Self-check

  6. What must it remember so it doesn't repeat itself? (dedupe key, cooldown, last-run marker) → State / idempotency

  7. When should it stop, skip, or hand off to a human? (no action needed, error, spend/publish decision, N failed attempts) → Stop / bail-out

If you can't answer 5, 6, and 7 concretely, the loop isn't ready to run.


Worked example (blank → filled)

Say you sell a freemium API tool and want to stop losing signups who never make their first API call.

### The first-call activation loop
- **Check cadence**: Daily
- **Acts when**: A user who signed up 48h ago still hasn't made a successful API call and isn't already in this nudge sequence.
- **Purpose**: Increase the share of new signups that reach first value (first successful API call).
- **Skills used**: `onboarding`, `emails`, `analytics`
- **Loop body**:
  1. Pull signups from ~48h ago and their first-call status.
  2. Filter to those with zero successful calls and no active nudge.
  3. Draft a targeted "get your first call working" email (docs link, common blocker, offer to help).
- **Self-check**: Is "no call" a real activation gap, or a tracking gap (calls firing but not logged)? Confirm against server logs before emailing.
- **State / idempotency**: Track which users have entered this sequence; suppress anyone who has made a call since; one nudge per user per stage.
- **Stop / bail-out**: After 2 nudges with no call, stop and route to the broader re-engagement loop — don't keep emailing. Skip the run entirely if the events pipeline looks stale.
- **Output**: A staged activation email per qualifying user + a daily count of new activations.

Notice what makes it safe: the self-check guards against a tracking bug emailing active users, the state stops it re-nagging, and the stop caps attempts and hands off instead of looping forever.


Ship checklist

Before you schedule a new loop, confirm:

  • [ ] All nine parts are filled — especially self-check, state, and stop.

  • [ ] Cadence matches signal speed (you're not checking daily for a weekly-moving signal).

  • [ ] It's designed so most runs do nothing — it acts only on a real condition.

  • [ ] Anything that spends money or publishes has a human checkpoint (unless caps + an allowlist are explicitly authorized).

  • [ ] State prevents double-acting and re-nagging the same people.

  • [ ] There's an error path (stale data → report "stale," don't fabricate movement) and a manual off switch.

  • [ ] For scheduling mechanics, see the "Scheduling a loop" section in SKILL.md.

Once it runs, give it a few cycles and ask the "is this a vanity loop?" question: if nobody acts on the output, delete it.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

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Attribution and licence

Created by
Corey Haines
Publisher
Corey Haines (Community)
Source
coreyhaines31/marketingskills · skills/marketing-loops · commit 96798cf
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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