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claude-ads

AgriciDaniel · AgriciDaniel/claude-ads

This Claude Code skill automates paid-media operations across 12 ad platforms, including auditing, planning campaigns, generating creative briefs, and monitoring performance.

Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.

9.8k stars1.4kLicense: MITUpdated 11 days ago0 opens

Preview

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What you can do with it

  • Audit a Google Ads account to identify underperforming campaigns and suggest improvements.
  • Plan a new advertising campaign for a product launch across Meta and TikTok platforms.
  • Generate creative briefs for image and video ads based on campaign goals.

Safety check

Caution

Usable, but read the notes first.

  • ●Mentions credential files (SSH keys, cloud or npm tokens).ads/SKILL.md
  • ●Tells the agent to download and run a remote install script.ads/SKILL.md

Automated scan of the repo files. Always review code you run.

From the README

Claude Ads

Claude-first, portable paid-media operations for agencies, consultants, and in-house performance teams.

Claude Ads turns authorized exports or account reads into source-grounded audits, plans, creative workflows, experiments, monitoring, and reports. It is read-only by default. Live changes stay disabled until the exact platform and operation pass approval, idempotency, verification, audit, and rollback gates.

[!NOTE] Claude Ads ships from two homes: the public release at AgriciDaniel/claude-ads (MIT, no membership required) and the community mirror at AI-Marketing-Hub/claude-ads, where AI Marketing Hub Pro members get early access and direct collaboration.

What it does

  • Audits paid-media accounts with dated evidence and explicit confidence.
  • Plans campaigns, channels, budgets, measurement, and experiments.
  • Creates copy, image, video, and product-photo briefs and assets.
  • Monitors pacing, delivery, tracking, fatigue, policy, and performance.
  • Produces versioned JSON, then renders Markdown, HTML, and optional PDF.
  • Drafts safe account changes without applying them by default.
  • Reports missing data, stale sources, contradictions, and partial failures.

Platforms

SegmentPlatforms
Search, video, and socialGoogle Ads, Meta Ads, YouTube Ads, LinkedIn Ads, TikTok Ads, Microsoft Advertising, Reddit Ads, Snapchat Ads, X Ads
Commerce and retail mediaApple Ads, Amazon Ads, Pinterest Ads

Each platform has a focused skill, audit worker, control reference, capability declaration, and testable routing surface. The capability manifest is the authoritative record for live reads and writes.

Commands

Standalone installs use /ads. Claude Code plugins are namespaced and use /claude-ads:ads. Both load the same ads/SKILL.md contract.

CommandOutcome
/ads setupCreate the client, account, KPI, privacy, and guardrail profile
/ads audit [all|platform|scope]Run a complete or scoped evidence-backed audit
/ads planBuild channel, campaign, budget, competitor, and measurement plans
/ads createProduce copy, image, video, or product-photo assets
/ads launch --draftDraft a campaign mutation plan without changing the account
/ads monitorReview pacing, delivery, tracking, fatigue, policy, and performance
/ads optimize --draftDraft evidence-backed optimization changes
/ads experimentDesign or read out a controlled test
/ads reportRender a validated JSON run bundle
/ads research refreshRefresh platform, policy, API, benchmark, and ecosystem evidence
/ads validateValidate contracts, runs, capabilities, maturity, or release readiness
/ads status, /ads nextShow current status and the highest-priority blocker

Platform shortcuts such as /ads google, /ads meta, /ads amazon, and /ads reddit route to the matching platform audit.

Demo

The GIF shows the original command-discovery experience. The v2 command table above and the platform table are current and authoritative.

Installation

Claude Code is the canonical runtime. Codex, Gemini, Cursor, Windsurf, Goose, and compatible Agent Skills hosts can consume the same skill files where their runtime supports them.

Prefer the host's native plugin flow or a tagged release archive with a verified SHA-256 checksum. Never pipe a remote installer directly to a shell.

For Claude Code, the native plugin flow is:

/plugin marketplace add agricidaniel/claude-ads
/plugin install claude-ads@ai-marketing-hub-claude-ads

If you added this marketplace before v2.0.0, Claude Code still holds it under the stale local alias agricidaniel-claude-ads. Remove that alias, then re-add and install:

/plugin marketplace remove agricidaniel-claude-ads
/plugin marketplace add agricidaniel/claude-ads
/plugin install claude-ads@ai-marketing-hub-claude-ads

Or install from a local clone of the public repository:

git clone https://github.com/AgriciDaniel/claude-ads.git
cd claude-ads
bash install.sh --source=local

Select another standalone host explicitly:

bash install.sh --target=codex --source=local
bash install.sh --target=gemini --source=local --no-deps

PowerShell uses the same managed ownership model:

git clone https://github.com/AgriciDaniel/claude-ads.git
Set-Location claude-ads
.\install.ps1 -Source local

Managed dependencies support CPython 3.11 and 3.12 on the declared Linux, macOS, and Windows wheel matrix. Unsupported interpreters fail before the destination changes. Use --no-deps or -NoDeps for a skill-only install.

Browser capture requires an operator-installed Playwright browser payload. PDF rendering requires the host's WeasyPrint and Pango system libraries. These are documented in the external runtime dependency manifest.

Uninstall only manifest-owned files:

bash uninstall.sh --target=claude

The PowerShell equivalent is uninstall.ps1.

Architecture

One conductor owns scope, policy, aggregation, and final artifacts. Workers analyze bounded slices and return schema-valid findings. Required-worker failure makes the run partial. It is never silently presented as a complete audit.

The canonical result is versioned JSON. Markdown, HTML, and PDF are renderings of the same validated run bundle.

Scoring and evidence

Controls use pass, fail, unknown, or not_applicable.

  • Health, evidence coverage, regulatory exposure, and opportunities stay separate.
  • Unknown controls reduce evidence coverage without changing known health.
  • Coverage of 80% or more is graded, 60 to 79% is provisional, and below 60% is insufficient evidence.
View source on GitHub