agricidaniel/claude-ads

ads-plan

Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting.

查看源码

使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-plan

开始前需了解

  • 安装不包含模型订阅、API 额度或访问文件的权限。
  • 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

Paid Media Plan

  1. Read the setup profile, business economics, evidence, current account state, and

relevant industry template as optional input.

  1. Define objective, customer, offer, conversion, value, constraints, geography,

regulated category, time horizon, and success criteria.

  1. Evaluate channel roles and exclusions from first principles; do not require every

supported platform. For a channel outside the twelve-platform contract, load ads/references/additional-platforms.md (resolve it from the plugin root, the directory that holds ads/ and skills/, or from the skills directory in a standalone install) and return a research lead unless its current buying, eligibility, measurement, and creative evidence is present.

  1. Before proposing Meta budgets, learning-phase expectations, bidding,

consolidation, or performance forecasts, collect the account, Pixel, and conversion cold-start dimensions per the contract in skills/ads-meta/SKILL.md. When any dimension is cold or unknown, plan for measurement validation, explicit creative hypotheses, staged reversible tests, and confidence labels; do not apply mature-account benchmarks to missing history.

  1. Specify campaign architecture, audience strategy, creative system, budget and

pacing, measurement, experiments, policy controls, and operating cadence.

  1. Phase prerequisites before launch, learning, optimization, and scale.
  2. Assign every action an owner, timing, dependency, guardrail, evidence, success

measure, and rollback or exit condition.

  1. Return canonical JSON and render the requested human plan.

A plan is advisory. It becomes an account change only through launch or optimize mutation gates.

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