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.

ソースを見る

使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-plan

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

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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