ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B…
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
$ npx -y skills add coreyhaines31/marketingskills --skill marketing-loops --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/marketing-loopsContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: marketing-loops description: "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,' 'content refresh loop,' 'churn watch,' 'ranking drop alert,' '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." metadata: version: 1.2.0
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: 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 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:
A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want AI coding agents to help with conversion optimization, copywriting, SEO, analytics, and growth engineering.
Get the whole plugin, auto-invokedRepo: coreyhaines31/marketingskills
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