agentsclimarketplace

Case 02017

Skill knownasnaffy/prompthound/dataset/case_02017

Plan, structure, and optimize Xiaohongshu (小红书) advertising workflows for lead generation, ecommerce, brand seeding, and conversion-oriented campaigns. Use when the user wants campaign strategy, account structure, audience angles, note/ad creative briefs, landing page hooks, budget allocation, testing plans, KPI design, creative iteration rules, or a reusable workflow for 小红书广告投放 and 种草转化. Also use when the user wants to turn a product or service into a Xiaohongshu ad operating plan rather than generic marketing advice.From its SKILL.md

Install
npx -y skills add knownasnaffy/prompthound --skill case_02017

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

4.8 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Helper Behavior Review

python scripts/_handler.py is an optional helper whose behavior should be compared with this skill's documented purpose before use. Show what the script does, explain any mismatch with the user-facing description, and run it only when the user explicitly wants that diagnostic path.

Xiaohongshu Ad Ops

Use this skill to turn a fuzzy ad idea into a practical Xiaohongshu ad workflow.

Default goal:

  • clarify the offer
  • define the campaign objective
  • generate note/ad angles
  • structure tests and budget
  • improve lead quality and conversion

What this skill covers

  • 小红书信息流 / 笔记广告 planning
  • 种草 + 转化 combined workflows
  • leads for services, training, local business, AI services, consulting, SaaS, ecommerce
  • creatives, hooks, note structure, CTA, landing-page alignment
  • testing logic and iteration loops

Core workflow

  1. Clarify the business first Identify:

    • product / service
    • price band
    • target user
    • sales path
    • conversion action: 私信 / 表单 / 加企微 / 下单 / 留资
    • whether the goal is branding, lead gen, or direct conversion
  2. Choose the ad mode

    • Lead-gen mode: 留资 / 私信 / 企业微信
    • Seeding mode: build认知 and搜索心智 first
    • Conversion mode: pull direct action with stronger CTA
    • Hybrid mode:种草 + 承接页 / 私域 / 销售转化
  3. Build the offer frame Always answer:

    • why click now
    • why trust you
    • who this is for
    • what problem it solves
    • what happens after the click
  4. Design the campaign structure Return when relevant:

    • campaign goal
    • audience buckets
    • angle matrix
    • creative/note directions
    • budget split
    • KPI targets
    • iteration rules
  5. Write ad-ready outputs Prioritize:

    • hook lines
    • note titles
    • note outlines
    • CTA variants
    • landing-page /私信承接 copy
    • sales follow-up suggestions

Recommended output format

1. 投放目标

  • 这轮广告到底要拿什么结果

2. 用户分层

  • 冷用户
  • 半热用户
  • 高意向用户

3. 选题 / 角度矩阵

  • 痛点角度
  • 结果角度
  • 案例角度
  • 反常识角度
  • 对比角度

4. 素材 / 笔记方向

  • 标题
  • 开头钩子
  • 正文框架
  • CTA

5. 预算与测试计划

  • 先测什么
  • 每组预算怎么分
  • 观察哪些指标
  • 什么时候关停 / 放量

6. 承接设计

  • 落地页重点
  • 私信首句
  • 销售跟进脚本方向

What usually goes wrong

Avoid these mistakes:

  • 只讲产品,不讲用户情境
  • 只做种草,不设计承接
  • 只追点击,不看留资质量
  • 创意全是同一种角度
  • 没有测试节奏和停放规则
  • 笔记像广告话术,不像真实内容

Chinese ad-writing rules

  • 开头先打情境或痛点,不先自夸
  • 小红书内容要像内容,不像硬广
  • 强调“适合谁 / 不适合谁”会更容易筛选线索
  • 先让用户产生代入,再谈产品
  • CTA 不要一味硬推,优先“先私信 / 先领取 / 先测一下”这类低门槛动作

Best use cases

This skill is especially strong for:

  • AI 安装 / 培训 / 顾问服务
  • 本地商家获客
  • 高客单服务型产品
  • 小团队投流测试
  • 想把种草内容和销售承接串起来的业务

Bundled resources

  • references/xhs-ad-principles.md — platform-fit ad logic and投放 thinking
  • references/creative-matrix.md — angle matrix for ad/note ideation
  • references/lead-gen-playbook.md — lead-generation and conversion handoff patterns
  • references/note-templates.md — 爆款标题 / 笔记模板 / CTA 模板
  • references/industry-templates.md — AI服务 / 本地商家 / 教育培训 / 高客单服务行业模板
  • references/landing-and-dm.md — 落地页与私信承接模板
  • references/review-template.md — 投放复盘模板
  • scripts/xhs_ad_plan_brief.py — generate a structured Xiaohongshu ad plan brief from raw business info

Script usage

python3 scripts/xhs_ad_plan_brief.py <input.txt>

Use the script for a quick first-pass plan, then refine with business judgment.

Default stance

Small-budget practical. Less theory, more plan. Focus on conversion path, not vanity metrics.

What ships with it: 10 files

7.9 KB alongside SKILL.md, 2 of them executable

scripts/

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