Agent Skills › AgriciDaniel/claude-ads › ads-plan

ads-plan

GitHub

用于创建专业的付费广告策略，涵盖目标设定、渠道选择、受众定位、预算分配、创意规划及实验治理等。适用于广告计划、媒体计划或PPC策略制定，提供从冷启动到扩展的全链路规划指导。

skills/ads-plan/SKILL.md AgriciDaniel/claude-ads

Trigger Scenarios

制定付费广告策略规划媒体投放方案设计PPC活动架构

Install

npx skills add AgriciDaniel/claude-ads --skill ads-plan -g -y

More Options

Use without installing

npx skills use AgriciDaniel/claude-ads@ads-plan

指定 Agent (Claude Code)

npx skills add AgriciDaniel/claude-ads --skill ads-plan -a claude-code -g -y

安装 repo 全部 skill

npx skills add AgriciDaniel/claude-ads --all -g -y

预览 repo 内 skill

npx skills add AgriciDaniel/claude-ads --list

SKILL.md

Frontmatter

{
    "name": "ads-plan",
    "description": "Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting. Use for ad plan, media plan, PPC strategy, paid-social strategy, campaign architecture, advertising roadmap, or channel planning."
}

Paid Media Plan

Read the setup profile, business economics, evidence, current account state, and relevant industry template as optional input.
Define objective, customer, offer, conversion, value, constraints, geography, regulated category, time horizon, and success criteria.
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 and return a research lead unless its current buying, eligibility, measurement, and creative evidence is present.
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.
Specify campaign architecture, audience strategy, creative system, budget and pacing, measurement, experiments, policy controls, and operating cadence.
Phase prerequisites before launch, learning, optimization, and scale.
Assign every action an owner, timing, dependency, guardrail, evidence, success measure, and rollback or exit condition.
Return canonical JSON and render the requested human plan.