Ad-Superpowers

60 mods across 1 repository, 5 stars between them.

ad-superpowers

02

Ad-Superpowers/ad-superpowers-plugin

Plugin Claude Code

AI-powered advertising intelligence across 8 platforms. 120 expert skills, 29 workflow commands plus 6 utility commands, 5 specialized agents, and 51 MCP tools for Meta, Google Ads, GA4, Search Console, LinkedIn, TikTok, Google Tag Manager, and Google Merchant Center.

5 3d ago A tokens not measured original MIT

ad-superpowers

03

Ad-Superpowers/ad-superpowers-plugin

MCP server Claude CodeCodexCursor +2

MCP server "ad-superpowers", hosted remotely at mcp.adsuperpowers.ai, as configured in Ad-Superpowers/ad-superpowers-plugin.

5 3d ago A tokens not measured original MIT

creative-analyst

04

Ad-Superpowers/ad-superpowers-plugin

Agent

Analyzes creative performance, detects fatigue signals, monitors creative depth (Andromeda), evaluates A/B tests, writes video scripts, and recommends refresh strategies across Meta, Google Ads, TikTok, and LinkedIn. Use when the user asks about ad creative performance, creative fatigue, which ads are tired, A/B test…

5 3d ago A 89 tokens original MIT

Ad-Superpowers/ad-superpowers-plugin

Agent

Develops advertising strategy, analyzes competitive landscapes, sizes markets, selects channels, builds buyer personas, designs lead scoring frameworks, and plans ABM strategies. Use when the user asks about marketing strategy, competitive analysis, market sizing, channel selection, target audience definition, value…

5 3d ago A 81 tokens original MIT

media-buyer

06

Ad-Superpowers/ad-superpowers-plugin

Agent

Manages campaign execution — creates campaigns, optimizes budgets, selects bid strategies, builds audiences, manages automated rules, scales winners, and troubleshoots delivery issues across Meta, Google Ads, LinkedIn, and TikTok. Use when the user asks about campaign setup, budget optimization, bid strategy, audience…

5 3d ago A 104 tokens original MIT

reporting-agent

07

Ad-Superpowers/ad-superpowers-plugin

Agent

Generates structured performance reports — weekly summaries, monthly executive reports, client reports, cross-platform comparisons, competitive reports, and e-commerce analytics. Use when the user asks for a performance report, weekly pulse, monthly summary, client-ready overview, competitive report, revenue analysis…

5 3d ago A 65 tokens original MIT

tracking-specialist

08

Ad-Superpowers/ad-superpowers-plugin

Agent

Audits tracking implementations, troubleshoots conversion measurement, manages GTM containers, validates GA4 events and e-commerce tracking, configures key events, debugs conversion discrepancies, manages BigQuery exports, ensures privacy compliance, and analyzes SEO vs SEA keyword overlap. Use when the user asks…

5 3d ago A 120 tokens original MIT

ai-creative-refresh

10

Ad-Superpowers/ad-superpowers-plugin

Command

End-to-end creative refresh pipeline: analyze ad performance, detect fatigue, build a creative brief from your top performers, then upload and deploy a new image you provide (local file up to 4 MB, or any public HTTPS URL). Image generation happens outside the app — bring your own image from Photoshop, Canva…

5 3d ago A 77 tokens original MIT

anomaly-detective

11

Ad-Superpowers/ad-superpowers-plugin

Command

Automatically detect unusual performance shifts across all accounts with severity levels, budget impact estimation, vertical seasonality context, and action urgency indicators. Catches issues before they become expensive problems. (requires Pro subscription).

5 3d ago A 40 tokens original MIT

Ad-Superpowers/ad-superpowers-plugin

Command

Analyze lead quality across platforms with LinkedIn-specific benchmarks. Compare CPL by industry, MQL/SQL rates, Lead Gen Forms vs Landing Pages, and LTV:CAC framework for B2B. (requires Pro subscription).

5 3d ago A 45 tokens original MIT

Ad-Superpowers/ad-superpowers-plugin

Command

Forward-looking budget planning with scenario modeling (conservative/realistic/aggressive). Integrates market sizing data, competitive share of voice analysis, and platform-specific budget thresholds. Outputs optimal budget distribution across channels with confidence levels and expected ROI ranges. Different from…

5 3d ago A 67 tokens original MIT

Ad-Superpowers/ad-superpowers-plugin

Command

Generate detailed buyer personas combining research with optional platform audience data. Creates 2-4 actionable personas with platform-specific targeting recommendations. (requires Pro subscription).

5 3d ago A 30 tokens original MIT

Ad-Superpowers/ad-superpowers-plugin

Command

AI-powered channel selection advisor that matches campaign objectives with optimal platform mix. Analyzes audience fit, platform strengths, funnel stage requirements, and budget constraints to recommend the ideal channel strategy. Includes budget allocation suggestions and expected performance benchmarks per channel.…

5 3d ago A 53 tokens original MIT

client-discovery

20

Ad-Superpowers/ad-superpowers-plugin

Command

Comprehensive client research combining deep research with optional ad account analysis. Gathers company intel, competitive landscape, and advertising history in one structured workflow. (requires Pro subscription).

5 3d ago A 34 tokens original MIT

Ad-Superpowers/ad-superpowers-plugin

Command

Comprehensive competitive analysis combining deep research with ad platform data. Includes competitor profiling, positioning maps, spend estimation, creative analysis, and strategic recommendations. Integrates Google Ads auction insights and Meta Ad Library research. (requires Pro subscription).

5 3d ago A 46 tokens original MIT

Ad-Superpowers/ad-superpowers-plugin

Command

Proactively detect ad creative fatigue before performance tanks. Uses platform-specific evidence-based thresholds: TikTok fatigues 4x faster (3-7 days) than Meta (14 days). Google Ads uses asset ratings (4-8 weeks). LinkedIn has longest cycles (4-6 weeks). (requires Pro subscription).

5 3d ago A 64 tokens original MIT

Ad-Superpowers/ad-superpowers-plugin

Command

Compare advertising performance across Meta, Google, LinkedIn, and TikTok with attribution reconciliation, incrementality analysis, and competitive context. Includes expected discrepancy ranges, 'which number to trust' guidance, iROAS framework (incremental ROAS estimates by platform), MMM-lite recommendations…

5 3d ago A 94 tokens original MIT