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.
npx skills add hamzabellouch/agent-skills --skill marketing-marketing-loopsgit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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.
[](https://agentmods.dev/skills/hamzabellouch/agent-skills/marketing-marketing-loops)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/marketing-marketing-loops"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/marketing-marketing-loops/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/marketing-marketing-loops"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/marketing-marketing-loops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00158 | $0.02058 |
| Opus 5.5 | $0.00063 | $0.00823 |
| Sonnet 5.5 | $0.00032 | $0.00412 |
| Haiku 4.5 | $0.00016 | $0.00206 |
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 7d 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.
This is a copy
100% identical to marketing-loops — 16 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.
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:
- Clarify the job. What outcome should this loop protect or grow? (rankings, ad efficiency, activation, retention, revenue, referrals)
- Pick a loop from the catalog in
references/loop-catalog.md— or adapt the closest one. - Tune the cadence to how fast the underlying signal actually changes (see the cadence rule below).
- 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. - 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. |
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.
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.
- 7d ago First seen · 108 lines · 158 tokens per session scan A db4ba419ee74
marketing-loops is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 158 tokens to every session and 2,058 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to marketing-loops, differing in 16 lines, and is treated as a copy.
Other skills, from other repositories
spec-implement
Orchestrate parallel implementation of a feature specification by dispatching coder agents batch-by-batch with code review gates between batches. Use this skill when the user says "implement this feature", "start implementing", "run the spec", "execute the plan", "continue implementing", or wants to begin coding a…
spec-ship
Push the current branch to GitHub and create a pull request. Use this skill when the user says "ship it", "ship this", "push to github", "create a pr", "open a pull request", "send for review", "get this reviewed", or wants to push their work and open a PR. Also use when the user says "/spec-ship" (or their host's…
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.