claude-ads

by AgriciDanielVerified

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.

8,375
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1,244
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Python
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8/23/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/AgriciDaniel/claude-ads

Getting Started

Guides for using skills like claude-ads.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Claude Ads, Claude-first paid-media operations across twelve advertising platforms

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.

Validated inputs flow through bounded workers into schema-valid findings and deterministic reports

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

Twelve first-class paid-advertising platform surfaces

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

Claude Ads command discovery inside Claude Code

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

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 dispatches platform and cross-platform workers, then validates and renders a canonical JSON bundle

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

Health and evidence coverage remain separate; scoring requires an approved platform profile

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.
  • Optional, beta, premium, unavailable, and ineligible features stay unscored.
  • A disabled or unapproved platform profile produces no health score.
  • A failed platform is excluded from portfolio scoring and makes the run partial.

See the scoring reference and production implementation in claude_ads_core/scoring.py.

Account safety

All adapters are read-only by default. Applying a change requires:

  1. A tested and enabled capability for the exact operation.
  2. Explicit account and object IDs.
  3. A human-readable before and after diff with blast radius.
  4. Owner approval within account-defined ceilings.
  5. An idempotency key, audit destination, rollback, and verification window.
  6. Verification that remote state still matches the mutation precondition.

Missing ceilings mean no write. Permanent deletion is not supported in v2. Credentials belong in environment variables, an OS keychain, or an approved secret manager. They never belong in the repository, profiles, reports, or logs.

Evidence and release controls

The public-safe control-plane/ records product boundaries, dated sources, claims, capabilities, safety rules, privacy rules, ecosystem decisions, and release requirements.

  • No source means no current platform claim.
  • No implementation, fixture, and test means no capability claim.
  • No approval and rollback means no account mutation.
  • No independent verification means no release.

See the release requirements and publishing policy.

Development

Create a virtual environment and run the complete suite:

python3.12 -m venv .venv
.venv/bin/python -m pip install --no-deps -e .
.venv/bin/python -m pip install --require-hashes --only-binary=:all: -r requirements.lock
.venv/bin/python -m pip install --require-hashes --only-binary=:all: -r requirements-dev.lock
.venv/bin/python -m pip check
.venv/bin/python -m pytest -q

Useful focused checks:

python -m claude_ads_core --version
python -m claude_ads_core validate finding path/to/finding.json
bash -n install.sh uninstall.sh

Repository map

ads/                  main skill, interface metadata, and shared references
skills/               platform and lifecycle skills
agents/               platform, cross-platform, research, and verifier workers
claude_ads_core/      typed contracts, adapters, validation, and scoring
control-plane/        evidence, capability, safety, maturity, and release state
scripts/              browser, creative, reporting, and release helpers
evals/                routing and behavioral evaluation cases
tests/                deterministic, security, installer, and adapter tests

Privacy

Client data, raw private research, captured prompts, credentials, account exports, and agent transcripts must never enter Git history, reports, or release archives. Keep credentials in environment variables, an OS keychain, or an approved secret manager.

License

Original Claude Ads code and documentation are available under the MIT License. Third-party APIs, trademarks, documentation, and cited artifacts remain subject to their own terms. Review the source ledger and third-party notices before importing external work.

Frequently Asked Questions

What is claude-ads?

claude-ads is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by AgriciDaniel. 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. It has 8,375 GitHub stars.

Is claude-ads safe to use?

Yes. claude-ads passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install claude-ads?

Clone the repository with "git clone https://github.com/AgriciDaniel/claude-ads" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is claude-ads written in?

claude-ads is primarily written in Python. It is open-source under AgriciDaniel on GitHub, so you can review or fork the full source.

Are there alternatives to claude-ads?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-ads against similar tools.

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