agricidaniel/claude-ads

Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit,...

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 14 minutes ago
Added to GitGenius on September 1st, 2026
Created on February 11th, 2026
Open Issues & Pull Requests: 39 (+0)
GitHub issues: Enabled
Number of forks: 1,339
Total Stargazers: 8,978 (+4)
Total Subscribers: 75 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.5 hours
Mean response time: 11.2 days
90th percentile: 34.3 days
Tracked items: 8

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 8% of issues opened in the past year have been closed.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 19
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 80 days
Stale 30+ days: 16
Stale 90+ days: 9

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (7)
  • enhancement (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Claude Ads is a Claude Code skill for paid-media operations across twelve advertising platforms including Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X.

The tool addresses the challenge of managing complex, multi-platform advertising accounts by turning authorized platform exports or API reads into source-grounded audits, campaign plans, creative workflows, and monitoring reports. It operates read-only by default, with live account changes disabled until they pass approval, idempotency, verification, audit, and rollback gates. The approach validates inputs through bounded workers that produce schema-valid findings and deterministic reports in versioned JSON, which can then be rendered as Markdown, HTML, or PDF.

Claude Ads suits agencies, consultants, and in-house performance teams that need to audit accounts with dated evidence and explicit confidence levels, plan campaigns across channels and budgets, create copy and asset briefs, monitor pacing and delivery, and draft account changes safely before applying them. The tool reports missing data, stale sources, contradictions, and partial failures, giving teams visibility into data quality. Each of the twelve platforms has a focused skill, audit worker, control reference, and capability declaration, with a capability manifest serving as the authoritative record for what reads and writes are available.

Development activity shows consistent attention to safety and verification: the project emphasizes capability-gated changes, idempotency checks, and rollback mechanisms as core design principles rather than afterthoughts. The codebase maintains separate audit workers and control references for each platform, indicating a structured approach to adding and maintaining platform support. The tool includes a validation command for checking contracts, runs, capabilities, maturity, and release readiness, suggesting the maintainers prioritize correctness and auditability. Documentation is comprehensive, with explicit skill contracts, a capability manifest, and status commands that help users understand what is possible and what blockers remain.