marketing-campaign-planner

marketing-campaign-planner is a skill for Claude Code from modu-ai/moai-cowork. It costs 324 tokens per session (3,307 once invoked), scanned A, original, Apache-2.0.

A marketing campaign planning skill that combines goals, channels, budgets, KPIs, creative direction, customer journeys, and CRM messages.

In plain words
What is it for?
It is for planning launches, influencer campaigns, A/B tests, customer journey maps, email sequences, funnels, and channel budget allocation.
Why use it?
It helps coordinate advertising, social media, email, and influencer work around one plan rather than treating each channel separately.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the moai-marketer plugin — 21 skills, 2 agents shipped together

Good fit It is for planning launches, influencer campaigns, A/B tests, customer journey maps, email sequences, funnels, and channel budget allocation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modu-ai/moai-cowork/marketing-campaign-planner
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.

Any agent
npx skills add modu-ai/moai-cowork --skill marketing-campaign-planner
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-marketer, the plugin that ships this one along with the rest of its 21 skills, 2 agents.

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-campaign-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-cowork/marketing-campaign-planner/github.svg)](https://agentmods.dev/skills/modu-ai/moai-cowork/marketing-campaign-planner)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/marketing-campaign-planner"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/marketing-campaign-planner/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.

agentmods 80×15 button for marketing-campaign-planner

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/marketing-campaign-planner"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/marketing-campaign-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 324 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,307 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00324 $0.03307
Opus 5 $0.00162 $0.01654
Sonnet 5 $0.00065 $0.00661
Haiku 4.5 $0.00032 $0.00331

Measured 8d ago against content hash c809666a0981, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

marketing-campaign-planner 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 8d 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.

plugins/moai-marketer/skills/marketing-campaign-planner/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

캠페인 플래너 (Campaign Planner)

개요

마케팅 캠페인 기획 및 퍼포먼스 마케팅 전문 스킬입니다. A/B 테스트 설계, 그로스 해킹, 인플루언서 전략, CRM 전략, 고객 여정 맵, 영업 지원을 다룹니다.

이 스킬은 캠페인 기획·전략에 집중합니다. 이커머스 상세페이지 제작이나 AI 이미지 생성이 필요하면 아래 "관련 스킬" 표를 참고하세요.

트리거 키워드

캠페인, 마케팅 캠페인, A/B 테스트, 그로스해킹, 인플루언서, 인플루언서 마케팅, CRM, 고객 여정, 고객 여정 맵, 퍼포먼스 마케팅, AARRR, 퍼널, 캠페인 KPI

워크플로우

1단계: 캠페인 목표 및 유형 확인

목표 설정(인지도/리드/전환/재구매), 채널 선택(유료 광고/SNS/이메일/인플루언서), 예산 규모 및 기간을 확인합니다.

2단계: 전략 수립

캠페인 기획: AARRR(Acquisition-Activation-Retention-Revenue-Referral) 퍼널 매핑, 채널별 예산 배분 및 KPI 설정, 크리에이티브 전략 방향을 수립합니다.

A/B 테스트 설계: 가설 수립 → 변수 정의 → 샘플 크기 계산, 통계적 유의성 기준 설정(p < 0.05), 결과 측정 지표 정의를 수행합니다.

인플루언서 전략: 메가/매크로/마이크로 인플루언서 티어 결정, 선정 기준(팔로워 수, 참여율, 타겟 부합도), 협찬 제안서 및 ROI 측정 방법을 수립합니다.

CRM·고객 여정: 고객 여정 맵(인지→고려→구매→리텐션→옹호) 매핑, 단계별 트리거·메시지 설계, 자동화 시퀀스 권고를 제공합니다.

3단계: 산출물 생성 및 검토

캠페인 전략 문서·A/B 테스트 설계서·인플루언서 제안서·고객 여정 맵·CRM 전략 문서 등 본 스킬 책임 범위의 산출물만 생성합니다.

사용 예시

예시 1: "신제품 런칭 캠페인 기획해줘. 예산 500만원, 타겟은 2030 여성" → 채널 믹스 → 예산 배분 → KPI 설정 → 크리에이티브 방향 → 타임라인

예시 2: "인플루언서 마케팅 전략 짜줘. 마이크로 인플루언서 위주로" → 인플루언서 티어 결정 → 선정 기준 → 협찬 제안서 → ROI 측정

예시 3: "이메일 시퀀스 A/B 테스트 설계해줘" → 가설 수립 → 변수 정의 → 샘플 크기 → 성공 지표 → 분석 방법

출력 형식

  • 캠페인 전략 문서 (목표, 타겟, 채널, 예산, KPI)
  • A/B 테스트 설계서 (가설, 변수, 샘플 크기, 성공 지표)
  • 인플루언서 협찬 제안서
  • 고객 여정 맵
  • CRM 전략 문서

주의사항

상황 대응
예산이나 채널 정보가 없는 경우 업종·목표 기반 추천 예산 배분 제안 후 확인
사업·OKR·BMC 단위 전략이 필요한 경우 본 스킬 범위 밖. moai-consultant:consult-strategy로 안내
상세페이지·이미지 생성 요청 본 스킬 범위 밖. 아래 "관련 스킬" 표 참고

후처리 (필수 체인 — 서술 부분만)

캠페인 전략 문서·인플루언서 협찬 제안서·고객 여정 맵 설명·CRM 전략 등 서술형(prose) 산출물은 발행 전 후처리 체인을 거칩니다. A/B 테스트 설계표·예산 배분표·매트릭스 등 수치·표 산출물은 대상이 아닙니다.

권장 체인(서술 부분): marketing-campaign-planner(서술) → moai-coworker:ai-slop-reviewer → moai-writer:korean-humanize → 최종 검수

관련 스킬

스킬 사용 시점
moai-consultant:consult-strategy 사업·OKR·BMC·Lean Canvas·SWOT 등 전략 단위 기획 (페어 분리)
moai-marketer:content-sns-content SNS 콘텐츠 단건 작성, 브랜드 보이스 설정
moai-marketer:marketing-seo-audit SEO 검색 최적화 분석
moai-marketer:marketing-performance-report 마케팅 성과 분석 보고서
moai-marketer:content-email-sequence 이메일 시퀀스·드립 캠페인 카피
moai-marketer:marketing-target-script 타겟별 핵심 메시지 분석 (페인포인트→메시지)
moai-coworker:ai-slop-reviewer 사후 체이닝(필수, 서술 부분): 캠페인 전략 문서의 AI 패턴 검수
moai-writer:korean-humanize 사후 체이닝(필수, 서술 부분): ai-slop-reviewer 다음 단계로 한국어 AI 티 제거
moai-seller:commerce-detail-page-copy 이커머스 상세페이지 카피 (13섹션 감정여정)
moai-seller:commerce-detail-page-image 이커머스 상세페이지 합성 이미지 (1080×12720 PNG)
moai-media:media-higgsfield-image AI 이미지 생성
moai-media:media-higgsfield-video AI 영상 생성

Read the full file on GitHub · 212 lines

Files

What ships with it

8 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. 8d ago First seen · 212 lines · 324 tokens per session scan A c809666a0981

Subscribe to this mod's changes

marketing-campaign-planner is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 9d ago), licensed Apache-2.0. It adds 324 tokens to every session and 3,307 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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