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Agent Skill · 运维和基础设施

media-plan(媒体计划)

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。

media-plan 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 1,202。

总安装 774周安装 31GitHub Stars 66下载 250核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

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。

来源仓库内路径:skills/media-plan

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

media-plan 怎么安装?

在终端执行 npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill media-pla…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

media-plan 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

media-plan 需要什么权限?

权限级别是只读。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。

media-plan 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

media-plan 用的人多吗?

公开数据是累计安装 774 次,近一周安装 31 次,下载 250 次,GitHub 66 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

media-plan 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
media-plan

媒体计划 · 本页

77466只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

/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

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。目前只有一个公开来源,建议同时核对源仓库。

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