marketing-loops

marketing-loops is a skill for Claude Code, Codex from patrickserrano/lacquer. It costs 158 tokens per session (2,058 once invoked), scanned A, a copy of marketing-loops, MIT.

A planning guide for recurring marketing workflows that an AI agent runs on a schedule or trigger. Each loop has a defined trigger, limited steps, a self-check, and a stopping condition.

In plain words
What is it for?
Use it to set up recurring work such as SEO opportunity scans, advertising-fatigue checks, or monitoring signals related to activation, retention, revenue, or referrals.
Why use it?
It helps turn a marketing task that might be forgotten into a repeatable process with clear boundaries. It also helps choose a schedule that matches how quickly the underlying information changes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/patrickserrano/lacquer/marketing-loops
Any agent
npx skills add patrickserrano/lacquer --skill marketing-loops
Clone the repo
git clone --depth 1 https://github.com/patrickserrano/lacquer

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for marketing-loops

README.md
[![agentmods](https://agentmods.dev/badge/skills/patrickserrano/lacquer/marketing-loops.svg)](https://agentmods.dev/skills/patrickserrano/lacquer/marketing-loops)
Your own site
<a href="https://agentmods.dev/skills/patrickserrano/lacquer/marketing-loops"><img src="https://agentmods.dev/badge/skills/patrickserrano/lacquer/marketing-loops.svg" alt="Measured on agentmods" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,058 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00158 $0.02058
Opus 5 $0.00079 $0.01029
Sonnet 5 $0.00032 $0.00412
Haiku 4.5 $0.00016 $0.00206

Measured 6d ago against content hash db4ba419ee74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

marketing-loops scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to marketing-loops — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

core/skills/marketing-loops/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 108 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 108 lines · 158 tokens per session scan A db4ba419ee74

Subscribe to this mod's changes

marketing-loops is a skill published in the GitHub repository patrickserrano/lacquer (3 stars, last pushed yesterday), licensed MIT. It adds 158 tokens to every session and 2,058 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to marketing-loops, differing in 0 lines, and is treated as a copy.

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