Token导航 LogoToken导航TokenDH.com
运维和基础设施只读github未标认证来源可访问许可证需确认审计通过

media-plan媒体计划

Agent Skill

media-plan 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

774

周安装

31

GitHub Stars

66

下载量

250
CodexClaudeCursorGemini CLI

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

unknown

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:media-plan(媒体计划)
来源仓库:https://github.com/indranilbanerjee/digital-marketing-pro
仓库路径:skills/media-plan
安装命令:
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill media-plan
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill media-plan

简介

media-plan 用于运维基础设施相关的 GitHub 协作信息管理。

  • 适用于仓库状态跟踪、Issue 处理和代码变更协调。
  • 通过 npx skills add 从 digital-marketing-pro 仓库安装并使用。
  • 安装前应确认权限、维护状态及是否触发网络或文件操作。
  • 建议查阅原始文档了解计划制定与执行的具体流程。

SKILL.md

/dm:media-plan

Purpose

Generate a holistic paid media plan that coordinates budget, channels, audiences, creative, and timing across all advertising platforms. Balances reach and efficiency objectives with practical execution constraints to produce a ready-to-implement plan with clear pacing targets and contingency protocols.

Input Required

The user must provide (or will be prompted for):

  • Campaign dates: Start date, end date, and any blackout periods or mandatory flight windows
  • Total paid media budget: Aggregate budget for the campaign period with any channel-specific floors or caps
  • Channels available: Platforms in consideration — Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, programmatic display, connected TV, native, audio, out-of-home, etc.
  • Campaign objectives: Primary and secondary objectives — awareness (reach/impressions), consideration (traffic/engagement), conversion (leads/sales/ROAS)
  • Target audiences with segments: Audience definitions including demographics, interests, behaviors, custom audiences, lookalikes, and retargeting pools
  • Creative assets available: Existing ad formats and sizes, video lengths, static variants, and any creative production timelines for new assets
  • Geographic targeting: Markets, regions, DMAs, or countries to target with any geo-specific budget weighting
  • Competitive spending intelligence: Known or estimated competitor ad spend, share of voice benchmarks, and auction pressure indicators
  • Historical performance by channel: Past campaign data — CPC, CPM, CPA, ROAS, conversion rates — by channel and audience segment
  • Seasonality factors: Demand fluctuations, industry events, holidays, promotional periods, or competitive surges that affect costs or performance

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with defaults.
  2. Assess channel-objective fit: Evaluate each available channel against campaign objectives using reach capability, targeting precision, cost benchmarks, creative format support, and measurement reliability
  3. Allocate budget across channels: Distribute budget using efficiency-weighted allocation — factor in historical performance, diminishing returns curves, minimum effective spend thresholds, and strategic importance per channel
  4. Design flight schedule: Structure campaign timing as continuous, pulsing, or flighting based on objectives, seasonality, and budget — define weekly spend levels and heavy-up periods
  5. Build audience targeting matrix: Map each audience segment to its optimal channel(s) with targeting parameters, expected reach, estimated frequency, and overlap management between platforms
  6. Plan creative rotation: Schedule creative variants across channels with rotation frequency, fatigue thresholds (impressions or frequency caps), A/B test windows, and refresh dates for new assets
  7. Define measurement framework: Establish KPIs per channel, tracking requirements (pixels, UTMs, offline conversion imports), attribution model, and reporting cadence
  8. Set contingency holdback: Reserve 10-15% of budget as contingency for opportunistic scaling, underperformance reallocation, or emerging platform opportunities — define trigger criteria for deployment
  9. Create platform setup checklists: Build channel-specific setup checklists covering account structure, campaign naming conventions, tracking implementation, audience uploads, and creative specs
  10. Model reach and frequency estimates: Project total reach, average frequency, and effective frequency per channel and in aggregate — flag oversaturation or underspend risks
  11. Compile unified media plan calendar: Assemble all components into a single calendar view showing budget pacing, creative rotation, audience activation, and measurement milestones week by week

Output

A structured paid media plan containing:

  • Channel allocation table: Budget amount, percentage share, and strategic rationale for each channel with minimum and maximum spend guardrails
  • Flight schedule with weekly budget waves: Week-by-week spend plan showing ramp-up, steady state, heavy-up, and wind-down phases per channel
  • Audience targeting matrix: Segment-by-channel-by-creative mapping showing targeting parameters, expected reach, frequency caps, and overlap management
  • Creative rotation calendar: Asset schedule per channel with rotation dates, fatigue thresholds, A/B test windows, and refresh milestones for new creative
  • Reach and frequency estimates: Projected reach, average frequency, and effective frequency per channel and in aggregate with confidence ranges
  • Measurement framework: KPIs per channel, tracking requirements, attribution model, reporting cadence, and data integration points
  • Platform setup checklists: Channel-specific implementation checklists covering account structure, naming conventions, tracking, audiences, and creative specs
  • Contingency budget plan: Reserve amount, deployment trigger criteria (over/underperformance thresholds), and reallocation decision framework
  • Competitive spending comparison: Estimated share of voice, auction overlap indicators, and competitive pressure assessment by channel
  • Daily/weekly pacing targets: Spend and performance pacing benchmarks for in-flight monitoring with acceptable variance thresholds
  • Cross-channel synergy map: Retargeting flows between channels, sequential messaging paths, and audience progression logic from awareness to conversion
  • Risk scenarios with budget reallocation triggers: Defined scenarios (platform outage, CPM spikes, underperformance, budget cuts) with pre-approved reallocation responses

Agents Used

  • media-buyer — Channel allocation, budget pacing, auction dynamics, platform setup, reach/frequency modeling, competitive spending analysis, and creative rotation planning
  • marketing-strategist — Objective-channel alignment, audience strategy, cross-channel synergy design, contingency planning, and measurement framework architecture

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

按任务关键词查找相关 Skills

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

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

Codex

36.4%
按下载量换算91

Claude

27.96%
按下载量换算70

Cursor

18.62%
按下载量换算47

Gemini CLI

9.85%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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

继续浏览同类 Skills