ASD

Marketing Loops

Para montar un flujo de marketing recurrente y autoejecutable que un agente corre en una cadencia, en vez de una tarea puntual; orquesta otras skills de marketing como un loop siempre activo.

Reemplaza a: Revisar manualmente y de forma esporádica métricas de marketing cada semana

Estrellas
44.1k

en todo el repo

Actividad
58

0–100, la ruta de este skill

Actualizado
el mes pasado

último commit aquí

Commits
3

últimos 90 días

Contexto
2.3k tok

182 tok en reposo

Paquete
7 archivos

79 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add coreyhaines31/marketingskills --skill marketing-loops --agent claude-code

Se instala solo en este repositorio.

Qué hace

  • Ayuda a elegir, adaptar y programar loops de marketing recurrentes que orquestan otras skills de marketing
  • Define la anatomía de nueve partes de un loop: cadencia, condición de acción, propósito, skills usadas, cuerpo, self-check, estado/idempotencia, parada y salida
  • Ajusta la cadencia de revisión a la velocidad real de la señal (rankings semanal, churn diario, etc.)
  • Indica cómo programar el loop según el entorno: /loop, ScheduleWakeup, CronCreate, cron externo o cadencia manual
  • Señala cuándo NO automatizar y cuándo exigir un checkpoint humano antes de publicar o gastar

Úsalo cuando

  • El usuario quiere montar un flujo de marketing recurrente y autoejecutable en una cadencia (semanal, diaria, por disparador)
  • El usuario menciona 'marketing loop', 'automatiza mi marketing', 'revisión semanal de marketing', 'ad fatigue check', 'churn watch' o 'ranking drop alert'
  • Se necesita elegir entre varios loops de un catálogo o adaptar uno existente al producto del usuario
  • Se está construyendo un sistema completo de operaciones de marketing con varios loops

No lo uses cuando

  • Para ideas de marketing puntuales, de una sola vez (usar marketing-ideas)
  • Para el loop de experimentación específico (usar ab-testing)

Qué lo activa

Di cualquiera de estas frases y el agente debería cargar este skill.

  • Quiero montar una revisión semanal de marketing automática
  • Crea un loop que detecte fatiga de anuncios cada pocos días
  • Necesito un sistema de alerta de churn que corra a diario
  • Ayúdame a programar un chequeo semanal de caídas de ranking SEO

SKILL.md

En inglés

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 43 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.

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.

The cadence rule

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.

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 — 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.

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.

Related Skills

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

Reproducido de coreyhaines31/marketingskills bajo licencia MIT. Leer esta página en markdown.

Archivos

7 archivos en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

Antes de instalar

Conviene tener (opcionalmente) un archivo .agents/product-marketing.md con contexto de producto, y para programar en Claude Code puede usarse la skill loopify si está instalada.

Detalles

Categoría
Marketing
Licencia
MIT
Recursos incluidos
referencias
Código fuente
Ver SKILL.md

Etiquetas

Más de coreyhaines31/marketingskills

Este repo incluye 49 skills. Si instalas uno, normalmente ya tienes los demás.

Úsalo para generar, iterar o escalar creatividad publicitaria —titulares, descripciones, texto primario o variaciones completas— en cualquier plataforma de pago.

Costo de contexto al activarse
5.2k tok
Tamaño del paquete
11 archivos
Última actualización
el mes pasado
marketing

Ads

44.1k

Para campañas de publicidad pagada en Google Ads, Meta, LinkedIn, Twitter/X u otras plataformas: estrategia, targeting, bidding y optimización de anuncios.

Costo de contexto al activarse
6.4k tok
Tamaño del paquete
12 archivos
Última actualización
el mes pasado
marketing

Pricing

44.1k

Para decisiones de pricing, packaging o monetización: tiers, freemium, prueba gratuita, aumentos de precio, valor percibido y auditorías de páginas de pricing para humanos y agentes de IA.

Costo de contexto al activarse
2.3k tok
Tamaño del paquete
5 archivos
Última actualización
hace 17 días
marketing

Social

44.1k

Ayuda a crear, programar y optimizar contenido de redes sociales para LinkedIn, Twitter/X, Instagram, TikTok o Facebook, y a hacer escucha social y triage de engagement.

Costo de contexto al activarse
3.7k tok
Tamaño del paquete
10 archivos
Última actualización
el mes pasado
marketing

Para cuando el usuario quiere saber qué marketing impulsa realmente conversiones e ingresos, elegir un modelo de atribución o reconciliar cifras contradictorias entre herramientas.

Costo de contexto al activarse
5.2k tok
Tamaño del paquete
6 archivos
Última actualización
hace 21 días
datos analitica

Para cuando el usuario quiere realizar, analizar o sintetizar investigación de clientes: entrevistas, encuestas, tickets, reseñas o mining en comunidades online como Reddit y G2.

Costo de contexto al activarse
3.2k tok
Tamaño del paquete
3 archivos
Última actualización
el mes pasado
investigacion

Skills relacionados

Launch

44.1k

Úsalo cuando el usuario quiera planear un lanzamiento de producto, anuncio de feature o estrategia de release, incluyendo Product Hunt, beta launch, early access o waitlist.

Costo de contexto al activarse
3.2k tok
Tamaño del paquete
2 archivos
Última actualización
el mes pasado
marketing

Extrae automáticamente el sitio web oficial y los perfiles de redes sociales de una empresa, ya sea a partir de su nombre o de la URL de su sitio web.

Costo de contexto al activarse
1.6k tok
Tamaño del paquete
2 archivos
Última actualización
hace 3 meses
Oficialmarketing

Auditoría de sobre-ingeniería en todo el repo, no solo un diff: lista rankeada de qué borrar, simplificar o reemplazar por stdlib/nativo. Reporte de una sola vez, no aplica los cambios.

Costo de contexto al activarse
413 tok
Tamaño del paquete
1 archivo
Última actualización
el mes pasado
herramientas desarrollo