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marketing-loops 精选

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,' '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.

写作 Claude CodeCodex CLICursor v1.4.0 MIT 5.4 万
在 GitHub 打开

安装方式

cp -r skills/marketing-loops ~/.claude/skills/marketing-loops

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/

整仓一次性获取:git clone --depth 1 https://github.com/coreyhaines31/marketingskills.git

依赖与权限

  • 无需 API Key
  • 无需联网
  • 依赖外部命令:go make
  • 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
触发场景
automate my marketing

SKILL.md 正文

来源 coreyhaines31/marketingskills@1efedbc · 许可 MIT · 内容未修改

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 — 52 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.

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.

质量与来源

所属仓库
coreyhaines31/marketingskills
仓库星标
5.4 万
最近更新
3 天前
采集时间
今天
commit
1efedbc5148b
内容指纹
sha256:d92623cd1dc138c
文件路径
skills/marketing-loops/SKILL.md

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When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' 'static ads,' 'ad templates,' 'iMessage ad,' 'chat reveal ad,' 'ChatGPT ad,' 'Apple Notes ad,' 'AirDrop ad,' 'creative strategy,' 'creative roadmap,' 'creative retro,' 'hook writing,' 'creative review page,' 'present ad creative for approval,' 'motion video ad,' 'faceless video ad,' 'UGC ad,' 'greenscreen ad,' 'TikTok/Reels ad format,' 'which ad format to make,' 'Meta ad format tier list,' or 'creative format taxonomy.' Use it to produce or iterate ad copy at scale. Copy avoids AI tells like 'it's not X, it's Y' reveals. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
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When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' 'should I run ads,' 'ABM,' 'account-based marketing,' 'B2B ads,' 'lead quality,' 'negative keywords,' 'Performance Max,' 'thought leader ads,' 'when should I kill an ad,' 'search terms report,' 'wasted spend,' or 'is this campaign working.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see cro. For outbound to target accounts, see cold-email.
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When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'llms-full.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' 'agent-readable site,' 'agent readiness,' 'is my site agent-ready,' 'WebMCP,' 'do listicles still work for AI,' 'ChatGPT stopped citing comparison pages,' 'how do LLMs see our brand,' 'LinkedIn for AEO,' or 'AI citation format shift.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.
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