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launch-ad-campaign启动广告活动

Agent Skill

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。

总安装

636

周安装

26

GitHub Stars

66

下载量

206
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: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

简介

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。

SKILL.md

/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

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

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

external-service

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 warning/failed 结果,不能写成本站确认安全。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

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