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Agent Skill · 研究检索

launch-ad-campaign(启动广告活动)

launch-ad-campaign 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

launch-ad-campaign 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 49,774。

总安装 636周安装 26GitHub Stars 66下载 206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:launch-ad-campaign(启动广告活动)
来源仓库:https://github.com/indranilbanerjee/digital-marketing-pro
仓库路径:skills/launch-ad-campaign
安装命令:
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill launch-ad-campaign
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 launch-ad-campaign

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。launch-ad-campaign 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库和原始 README 进一步核验用法。安装前建议确认权限范围和维护状态。注意是否会触发联网、命令执行或文件读写操作。

来源仓库内路径:skills/launch-ad-campaign

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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

launch-ad-campaign 怎么安装?

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

launch-ad-campaign 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。

launch-ad-campaign 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

launch-ad-campaign 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。

launch-ad-campaign 用的人多吗?

公开数据是累计安装 636 次,近一周安装 26 次,下载 206 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。

launch-ad-campaign 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
launch-ad-campaign

启动广告活动 · 本页

63666调用外部服务未明确有提醒

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:launch-ad-campaign

Purpose

Create and launch a paid advertising campaign on the specified ad platform with proper campaign structure, audience targeting, bid strategy, budget controls, and compliance checks. Includes mandatory budget safeguards that require explicit re-confirmation when spend exceeds brand thresholds, and sets up post-launch monitoring to catch early performance issues before budget is wasted on underperforming configurations.

Input Required

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

  • Ad platform: Where to launch — Google Ads, Meta Ads, LinkedIn Ads, or TikTok Ads — must have the corresponding MCP server connected
  • Campaign objective: Primary goal — awareness (reach/impressions), consideration (traffic/engagement/video views), or conversion (leads/sales/app installs/ROAS target)
  • Budget: Daily budget or lifetime budget with currency and any maximum CPC or CPA caps the brand requires
  • Campaign dates: Start date, end date, and any dayparting or ad scheduling preferences (hours of day, days of week)
  • Audience targeting: Demographics (age, gender, income), interests, behaviors, custom audiences (email lists, website visitors), lookalike or similar audiences, and retargeting segments — with geographic and language targeting
  • Ad creative: Headlines (multiple variants for responsive ads), descriptions, images or video assets, display URLs, final URLs, and sitelink extensions or callout assets where applicable
  • Bid strategy preference: Manual CPC, maximize conversions, target CPA, target ROAS, maximize clicks, or platform-recommended — with any bid caps, floors, or portfolio bid strategy settings
  • Conversion tracking: Which conversion events to optimize for, pixel or tag installation status, conversion value assignment, and attribution window preference (7-day click, 1-day view, etc.)
  • Negative targeting: Negative keywords (Search), placement exclusions (Display/Video), or audience exclusions to prevent wasted spend on irrelevant traffic
  • Landing page: Destination URL(s) with confirmation that the page is live, loads under 3 seconds, and has conversion tracking installed
  • Campaign naming convention: Custom naming format or use the brand's standard naming convention from agency SOPs for consistent cross-platform reporting
  • Ad extensions or assets: Optional — sitelinks, callout extensions, structured snippets, price extensions, or lead form extensions for Google Ads; instant experience or lead forms for Meta; conversation ads or message ads for LinkedIn
  • Remarketing strategy: Optional — whether this campaign should feed into a retargeting funnel, and if so, which audiences to build from campaign engagers (website visitors, video viewers, lead form openers)
  • UTM parameters: Tracking parameters for all destination URLs (source, medium, campaign, content), or auto-generate based on campaign naming conventions

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. 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. Verify budget against brand thresholds: Check the campaign budget against budget_range in profile.json. If the daily or lifetime budget exceeds the brand's defined maximum, halt and require explicit re-confirmation from the user with the exact dollar amount displayed prominently. This safeguard cannot be bypassed — it protects against accidental overspend.
  3. Verify ad platform connection: Check which ad platform MCP server is connected and confirm it matches the user's target platform. Verify conversion tracking pixel or tag is active on the brand's website. If not connected, instruct the user to configure the MCP server and tracking first.
  4. Build campaign structure: Design the campaign hierarchy per platform conventions — campaign level (objective, budget, schedule), ad group or ad set level (audience, placement, bid), and ad level (creative). Apply naming conventions from brand profile or agency SOPs for clean reporting. Structure ad groups by audience segment, keyword theme, or funnel stage.
  5. Configure audience targeting: Set up targeting parameters per platform specs — consult platform-publishing-specs.md for audience field mappings, custom audience upload formats, lookalike source requirements, exclusion list configuration, and any platform-specific targeting features (Google affinity audiences, Meta detailed targeting, LinkedIn job title targeting, TikTok interest categories).
  6. Conduct compliance review: Check all ad creative against industry-specific requirements — mandatory disclaimers (financial services, healthcare, real estate), prohibited content categories, platform advertising policies (restricted content, special ad categories), and regulated industry restrictions. Flag any creative that needs modification before launch.
  7. Score ad creative quality: Evaluate ad creative — headline character limits and keyword relevance, description effectiveness and CTA clarity, image and video specs (dimensions, file size, text overlay percentage for Meta), landing page relevance, and ad-to-landing-page message match. Score against platform-specific quality benchmarks and provide improvement recommendations.
  8. Configure bid strategy and budget controls: Set bid strategy per user preference with appropriate guardrails — bid caps or target CPA/ROAS values, budget pacing (standard vs. accelerated), frequency caps to prevent ad fatigue, placement controls (automatic vs. manual), and device targeting adjustments. Verify conversion tracking is active and receiving data if using conversion-based bidding.
  9. Apply negative targeting: Configure negative keywords for Search campaigns, placement exclusions for Display and Video, and audience exclusions to prevent overlap and wasted spend. Include brand safety exclusion lists if defined in brand guidelines.
  10. Create approval record: Run approval-manager.py with risk level set to high, or critical if daily budget exceeds $1,000. Generate a campaign summary with projected reach, estimated cost per result, targeting details, creative preview, budget safeguard verification, and compliance status.
  11. Present detailed campaign summary: Display the complete campaign configuration for user review — platform, objective, budget with safeguard status, audience size estimates per ad group, creative preview with quality scores, bid strategy and caps, projected reach and cost range, and compliance checklist. Wait for explicit approval.
  12. Execute campaign creation via MCP: On approval, create the campaign through the connected ad platform MCP server. Set campaign status per user preference — active (launch immediately), paused (review in platform before activating), or scheduled (activate on start date).
  13. Verify campaign status: After creation, query the platform API to confirm the campaign exists with correct settings, is in the requested status, has no policy violations or ad disapprovals, and that conversion tracking is firing correctly on test events.
  14. Set up monitoring schedule: Define a post-launch monitoring cadence — check performance at 4 hours, 24 hours, 48 hours, and 7 days. Set alert thresholds for CPC, CPM, CTR, conversion rate, cost per conversion, and daily spend pacing. Define escalation triggers for budget pacing anomalies or sudden performance drops.
  15. Log execution: Run execution-tracker.py to log the campaign launch with timestamp, platform, campaign ID, budget details, targeting summary, creative asset references, bid strategy, and monitoring schedule.

Output

A structured launch confirmation containing:

  • Campaign ID and platform URL: Direct link to the campaign in the ad platform's dashboard for manual review and ongoing management
  • Campaign structure: Campaign name, ad group or ad set names, and ad names with targeting assignments, creative pairings, and bid strategy per ad group
  • Budget configuration: Daily or lifetime budget, bid strategy with caps and targets, pacing method, frequency caps, and budget safeguard verification showing the amount is within brand thresholds
  • Audience targeting summary: Estimated audience size per ad group, targeting parameters (demographics, interests, behaviors, custom audiences), geographic reach, language targeting, and exclusion lists applied
  • Creative status: Ad approval status per platform policy review, quality scores or relevance estimates, text overlay compliance (Meta), and any flagged policy issues requiring creative modification
  • Projected performance: Estimated daily and total reach, impressions, clicks, conversions, CPC, CPM, CTR, and cost per result based on platform forecasting tools and historical benchmarks
  • Compliance checklist: Pass/fail for platform advertising policies, industry-specific regulations, mandatory disclaimers, special ad category requirements, and brand safety exclusions
  • Negative targeting summary: Negative keywords, placement exclusions, and audience exclusions applied with estimated traffic reduction
  • Monitoring schedule: Post-launch check cadence with specific alert thresholds per metric and escalation protocol for anomalies
  • Landing page verification: Confirmation that destination URLs are live, loading within acceptable speed thresholds, and conversion tracking is firing correctly
  • Naming convention applied: Campaign, ad group, and ad names following the brand's standard naming convention for cross-platform reporting consistency
  • Remarketing audiences created: Any new remarketing audiences configured from campaign engagers (site visitors, video viewers, lead form openers) with audience size estimates and retention windows
  • Execution log entry: Timestamped record of the launch with all campaign metadata for audit trail, performance tracking, and budget reconciliation

Agents Used

  • media-buyer — Campaign structure design, audience targeting configuration, bid strategy selection, budget controls, creative quality scoring, ad extension setup, negative targeting, remarketing audience configuration, platform-specific optimization, and performance projection modeling
  • execution-coordinator — Budget safeguard enforcement with mandatory re-confirmation, approval workflow with tiered risk levels based on daily spend, platform API execution, campaign status verification, landing page validation, monitoring schedule setup with alert thresholds, and execution logging

平台分布

Codex

34.73%
按下载量换算72

Claude

29.71%
按下载量换算61

Cursor

19.18%
按下载量换算40

Gemini CLI

8.97%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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