做什么
当用户想要创建,优化,或分析一个推荐程序,附属程序,或口语策略. 用户提及“ 转诊”、“ 附属” 、 “ 辅助” 、 “ 辅助” 、 “ 口语” 、 “ 虚拟循环 ” 、 “ 参考朋友 ” 、 “ 伙伴程序 ” 、 “ 推荐奖励 ” 、 “ 如何得到转诊 ” 、 “ 客户转诊 ” 、 “ 附属支付 ” 、 “ 获得更多评论 ” “ G2 评论 ” 、 “ 审查运动 ” 或 “ 对差评 ” 时使用 。 当有人想要现有用户或合作伙伴带来新客户时,就使用这个. 关于发射特定病毒性,参见发射.
技能库 智客分类:Agent 工作流 referrals
当用户想要创建,优化,或分析一个推荐程序,附属程序,或口语策略. 用户提及“ 转诊”、“ 附属” 、 “ 辅助” 、 “ 辅助” 、 “ 口语” 、 “ 虚拟循环 ” 、 “ 参考朋友 ” 、 “ 伙伴程序 ” 、 “ 推荐奖励 ” 、 “ 如何得到转诊 ” 、 “ 客户转诊 ” 、 “ 附属支付 ” 、 “ 获得更多评论 ” “ G2 评论 ” 、 “ 审查运动 ” 或 “ 对差评 ” 时使用 。 当有人想要现有用户或合作伙伴带来新客户时,就使用这个. 关于发射特定病毒性,参见发射.
官方网址:skills.sh
先看中文介绍;官方 description 原文单独保留,不改写 SKILL.md。
当用户想要创建,优化,或分析一个推荐程序,附属程序,或口语策略. 用户提及“ 转诊”、“ 附属” 、 “ 辅助” 、 “ 辅助” 、 “ 口语” 、 “ 虚拟循环 ” 、 “ 参考朋友 ” 、 “ 伙伴程序 ” 、 “ 推荐奖励 ” 、 “ 如何得到转诊 ” 、 “ 客户转诊 ” 、 “ 附属支付 ” 、 “ 获得更多评论 ” “ G2 评论 ” 、 “ 审查运动 ” 或 “ 对差评 ” 时使用 。 当有人想要现有用户或合作伙伴带来新客户时,就使用这个. 关于发射特定病毒性,参见发射.
用户提及“ 推荐 ” 、 “ 附属 ” 、 “ 辅助 ” 、 “ 口语 ” 、 “ 虚拟循环 ” 、 “ 推荐朋友 ” 、 “ 伙伴程序 ” 、 “ 推荐奖励 ” 、 “ 如何获得推荐 、 “ 客户推荐客户 ” 、 “ 附属支付 ” 、 “ 更多评论 、 “ G2 评论 ” 、 “ 审查活动 , 或
按 Agent Skills 渐进披露:启动时只加载 name 与 description(约 100 token);任务匹配后才读入整份 SKILL.md 正文;scripts/、references/、assets/ 仅在需要时再读。 本文件正文结构:Referral & Affiliate Programs、Before Starting、1. Program Type、2. Current State、3. Product Fit、4. Resources。
文件分析:除 SKILL.md 外,正文引用了 references/viral-mechanisms.md、references/affiliate-operations.md、references/program-examples.md、references/affiliate-programs.md、references/review-programs.md,属于带资源的技能包,这些文件按需再读。
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' 'partner program,' 'referral incentive,' 'how to get referrals,' 'customers referring customers,' 'affiliate payout,' 'get more reviews,' 'G2 reviews,' 'review campaign,' or 'respond to a bad review.' Use this whenever someone wants existing users or partners to bring in new customers. For launch-specific virality, see launch.
Referral & Affiliate ProgramsBefore Starting1. Program Type2. Current State3. Product Fit4. ResourcesShould You Engineer Virality First?Referral vs. AffiliateCustomer Referral ProgramsAffiliate ProgramsReferral Program DesignThe Referral Loop
来源分类:skills.sh agent-skill
namereferralsdescriptionreferences/viral-mechanisms.mdreferences/affiliate-operations.mdreferences/program-examples.mdreferences/affiliate-programs.mdreferences/review-programs.md以下路径提取自原文;文件是否齐全请以来源仓库中的完整目录为准。
具体调用语法与可用工具以目标 Agent 客户端为准。 查看调用机制说明 ↗
先选择目标 Agent 和安装范围,保留技能包的附属文件,安装后检查客户端能否发现该技能。
该技能引用了附属文件,请从来源获取完整目录;仅复制 SKILL.md 可能缺少依赖。
复制安装指令给支持 Agent Skills 的代理,确认其中的目标目录与客户端匹配。
把 Agent Skill「referrals」安装到我的项目:SKILL.md 原文与官方 description 见 https://zicq.com/zh/skills/skl-a3d258f455b0d56b-Referrals.html 请存为 .cursor/skills/referrals/SKILL.md 或 .claude/skills/referrals/SKILL.md,frontmatter 的 name 与 description 保持原样,不要改写。 该技能还带 scripts/、references/、assets/ 等文件,请从 https://github.com/coreyhaines31/marketingskills 取完整目录,不要只建一个 SKILL.md。
需要 Node.js 与 npx。先查看仓库技能列表,确认实际名称。
npx skills add 'https://github.com/coreyhaines31/marketingskills' --list
npx skills add 'https://github.com/coreyhaines31/marketingskills' --skill 'referrals'
CLI 会交互选择目标 Agent,默认安装到项目;用户级安装使用 -g。先通过查看命令核对仓库内容,再用 npx skills list 检查已安装技能。
You are an expert in viral growth and referral marketing. Your goal is to help design and optimize programs that turn customers into growth engines.
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
Before building a reward-driven program, check whether virality can be built into the product — often cheaper and more durable than paid referrals. But don't force virality where it doesn't naturally fit.
Place the product on the Viral Potential Spectrum:
If the product is on the natural end, consider product-embedded viral mechanisms (Powered By badges, exposure loops, social sharing, embeds, watermarks) before or alongside a reward program.
For the spectrum diagnostic, the 7 viral mechanisms, value-presentation and timing best practices, and affiliate power-law mechanics: See references/viral-mechanisms.md
Best for:
Characteristics:
For partner recruitment/activation, cohort economics, executable terms, reconciliation, and measured incremental growth, load the operating playbook. This expands the existing affiliate branch instead of creating an overlapping skill.
Best for:
Characteristics:
Trigger Moment → Share Action → Convert Referred → Reward → (Loop)
High-intent moments:
Ranked by effectiveness:
Single-sided rewards (referrer only): Simpler, works for high-value products
Double-sided rewards (both parties): Higher conversion, win-win framing
Tiered rewards: Gamifies referral process, increases engagement
Present the reward with the bigger-feeling number — "lead with the larger number" (say "$10 off," not "40% off," on a low-priced product). Reward at the aha moment or milestone, not signup. Reduce friction: one-click share, pre-written messages.
For examples and incentive sizing: See references/program-examples.md
For product-embedded virality, value-presentation rules, and affiliate power-law mechanics: See references/viral-mechanisms.md
If few customers are referring:
If referrals aren't converting:
Incentive tests: Amount, type, single vs. double-sided, timing
Messaging tests: Program description, CTA copy, landing page copy
Placement tests: Where and when the referral prompt appears
| Problem | Fix | |---------|-----| | Low awareness | Add prominent in-app prompts | | Low share rate | Simplify to one click | | Low conversion | Optimize referred user experience | | Fraud/abuse | Add verification, limits | | One-time referrers | Add tiered/gamified rewards |
Program health:
Business impact:
Subject: You can now earn [reward] for sharing [Product]
We just launched our referral program!
Share [Product] with friends and earn [reward] for each signup.
They get [their reward] too.
[Unique referral link]
1. Share your link
2. Friend signs up
3. You both get [reward]
For detailed affiliate program design, commission structures, recruitment, and tools: See references/affiliate-programs.md
For affiliate power-law mechanics (buyout clauses ~12× monthly commission, the 20/80 super-promoter rule, launch-affiliate tactics): See references/viral-mechanisms.md
Reviews are the other half of customer advocacy. For review-request programs, responding to reviews, reputation triage, and reusing testimonials with permission (G2, Capterra, Trustpilot, Google, app stores), see references/review-programs.md. Platform rules differ, so check references/review-platform-rules.md before proposing incentives or automation.
For implementation, see the tools registry. Key tools for referral programs:
| Tool | Best For | Guide | |------|----------|-------| | Rewardful | Stripe-native affiliate programs | rewardful.md | | Tolt | SaaS affiliate programs | tolt.md | | Mention Me | Enterprise referral programs | mention-me.md | | Dub.co | Link tracking and attribution | dub-co.md | | Stripe | Payment processing (for commission tracking) | stripe.md | | Introw | Channel partner programs with tiers, deal registration, QBRs | introw.md | | PartnerStack | Enterprise partner and affiliate programs | partnerstack.md |
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