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affiliate-marketing联盟营销

Agent Skill

affiliate-marketing 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

23,256

周安装

969

GitHub Stars

公开资料未说明

下载量

7,752
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:affiliate-marketing(联盟营销)
来源仓库:https://github.com/ivangdavila/affiliate-marketing
安装命令:
openclaw skills install affiliate-marketing
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install affiliate-marketing

简介

通过合作伙伴评分、佣金经济学、跟踪质量保证、欺诈控制和合规审查来设计和优化联属计划。

SKILL.md

name
Affiliate Marketing
slug
affiliate-marketing
version
1.0.0
homepage
https://clawic.com/skills/affiliate-marketing
description
Design and optimize affiliate programs with partner scoring, commission economics, tracking QA, fraud controls, and compliance reviews.
changelog
Initial release with affiliate program design, partner operations, tracking QA, fraud controls, and reporting playbooks.
metadata
{"clawdbot":{"emoji":"🤝","requires":{"bins":[]},"os":["linux","darwin","win32"],"configPaths":["~/affiliate-marketing/"]}}

Setup

On first use, read setup.md for integration guidelines. This skill works without local storage. Only create ~/affiliate-marketing/ if the user wants persistent partner and program continuity.

When to Use

User needs affiliate marketing, affiliate program management, partner recruitment, affiliate tracking, or affiliate operations. Agent handles program design, partner scoring, outreach packs, commission economics, tracking QA, attribution conflicts, fraud review, and reporting.

Use this when the problem is operating an affiliate channel end to end, not just generating links or listing networks. The goal is to turn partner revenue into a controlled acquisition engine with better unit economics and lower compliance risk.

This skill is especially strong for ecommerce, SaaS, creators with affiliate offers, and brands running publishers, coupon partners, creators, or referral-style affiliates under one program.

Architecture

Local workspace is optional and only created with user consent.

~/affiliate-marketing/
├── memory.md        # Program context, approved rules, active constraints
├── partners.md      # Pipeline, status, offer history, next actions
├── economics.md     # Commission ceilings, margins, payout scenarios
└── incidents.md     # Fraud flags, attribution disputes, compliance notes

Quick Reference

TopicFile
Setup and activationsetup.md
Optional continuity memorymemory-template.md
Program design and offer structureprogram-design.md
Partner sourcing and outreach pipelinepartner-pipeline.md
Commission economics and payout logiceconomics.md
Tracking, attribution, and compliancetracking-compliance.md
Fraud detection and payout QAfraud-qa.md
Lifecycle management and reportinglifecycle-reporting.md
Launch and recovery playbooksplaybooks.md

Core Rules

1. Design the program before recruiting partners

  • Define partner types, payout model, approval rules, attribution window, restricted traffic sources, and clawback rules first.
  • Recruitment without governance creates low-quality growth, conflict with other channels, and messy payouts.
  • Use program-design.md before approving partner outreach or commissions.

2. Score partners on fit, economics, and risk together

  • Evaluate audience fit, traffic quality, historical credibility, commission appetite, and brand safety at the same time.
  • A partner with reach but bad economics or compliance risk is not a win.
  • Use partner-pipeline.md to rank who should be recruited, activated, paused, or rejected.

3. Protect margin before scaling payouts

  • Model gross margin, refund rate, AOV, LTV, clawbacks, and cannibalization before recommending higher commissions.
  • Raw affiliate revenue can hide unprofitable traffic or orders that would have converted anyway.
  • Use economics.md to set commission ceilings and bonus rules.

4. Treat tracking QA as launch-critical

  • Validate links, coupon mapping, attribution logic, landing destinations, and UTM naming before traffic goes live.
  • Broken tracking destroys trust with partners and makes optimization impossible.
  • Use tracking-compliance.md whenever a campaign, offer, or payout structure changes.

5. Block fraud and leakage early

  • Watch for self-referrals, trademark bidding, cookie stuffing, coupon leakage, bot traffic, fake leads, and suspicious payout spikes.
  • Do not wait for finance or legal to discover abuse after the budget is gone.
  • Use fraud-qa.md before approving payouts or scale decisions.

6. Run affiliate lifecycle as an operating system

  • Manage recruitment, onboarding, activation, creative refresh, performance coaching, reactivation, and offboarding as one loop.
  • The skill should always know the next best action for each partner and segment.
  • Use lifecycle-reporting.md for weekly reviews and partner portfolio decisions.

7. Escalate claims, disclosures, and restricted actions

  • Treat trademark use, hard earnings claims, regulated verticals, SMS/email consent, and geo-specific disclosure rules as approval moments.
  • Never invent proof, hide incentive relationships, or recommend deceptive urgency.
  • Use tracking-compliance.md and playbooks.md for review gates before launch.

Operating Rhythm

Before launch

  • Lock partner type, offer structure, landing path, attribution method, and disclosure rules.
  • Validate links, payouts, and restricted terms before any partner goes live.

Weekly

  • Review recruitment pipeline, activations, partner quality, conversion quality, reversals, and payout exposure.
  • End each week with keep, fix, scale, pause, and remove decisions.

Monthly

  • Re-price commissions, reclassify partner tiers, and audit whether affiliate revenue is incremental or cannibalized.
  • Refresh creative, landing pages, and partner enablement before adding more partners.

Common Traps

  • Recruiting everyone with traffic -> partner count rises while quality and margin collapse.
  • Paying high commissions without incrementality checks -> revenue grows on paper but profit weakens.
  • Letting coupons, creators, and content affiliates share one sloppy attribution model -> channel conflict and payout disputes.
  • Ignoring disclosure and trademark rules -> legal exposure and program trust damage.
  • Launching with broken links or weak landing pages -> partner confidence drops and traffic is wasted.
  • Looking only at clicks or affiliate-attributed revenue -> hides refunds, fraud, leakage, and cannibalization.

Security & Privacy

Data that stays local when the user opts in:

  • Program rules, partner notes, commission assumptions, and payout concerns in ~/affiliate-marketing/
  • Fraud flags, compliance notes, and reporting summaries in local markdown files

This skill does NOT:

  • Automatically create affiliate accounts, send outreach, or change payouts
  • Create local files without explicit user consent
  • Access networks, ESPs, analytics tools, or payment systems unless the user explicitly requests a separate approved tool workflow
  • Make undeclared network requests

Guardrails:

  • Treat sensitive partner data, payout details, and customer-level data as restricted
  • Escalate legal or policy-sensitive promotions for review before launch

Related Skills

Install with clawhub install <slug> if user confirms:

  • market-research — Partner landscape, vertical mapping, and competitor analysis
  • growth-hacker — Acquisition experiments and growth loops
  • cmo — Channel strategy, demand generation, and marketing leadership
  • email-marketing — Nurture sequences and owned-audience conversion
  • content-marketing — Content partner enablement and repurposing systems

Feedback

  • If useful: clawhub star affiliate-marketing
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

92.04%
按下载量换算7,135

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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