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Audit a brand's existing live campaigns across every active channel — paid, organic, email, social, content, SEO. Produce a current-state inventory, quick-wins backlog, and red-flags list. Use during agency onboarding or before any /campaign-plan refresh.
Passed 15 of 19 test cases with the skill, and 6 of 19 without it.
and 9 more in the full report
10 fixed7 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When assessing AI content disclosures for a brand operating in a jurisdiction not covered in compliance-rules.md, what metadata property and value must be attached to the finding?
| Checked | Without skill | With skill |
|---|---|---|
| Labels the finding with compliance_basis: unverified | Missed | Passed |
The instructions your model reads when the skill loads.
Script location. If your host does not set
${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin'sscripts/folder, next toskills/. Run them with Python 3.10 or newer:python, orpython3wherepythonis not found (macOS, many Linux systems).
This skill produces a single document describing everything currently running for a brand across every channel — what's live, what's spending, what's performing, what's leaking budget, what's quietly broken. It's the prerequisite for any informed /digital-marketing-pro:campaign-plan, /digital-marketing-pro:performance-report, or /digital-marketing-pro:competitor-analysis refresh.
Heavy skill. Grep before Read any referenced file, then Read only matched ranges with offset + limit. List the brand's data dir (~/.claude-marketing/brands/{slug}/, or $CLAUDE_PLUGIN_DATA/digital-marketing-pro/brands/{slug}/ when that env var is set) before opening files. On re-invocation mid-session, skip files already in context.
Use this skill:
When agencies inherit a brand, the previous owner's "campaign plan" is usually a 40-tab Google Sheet, six dashboards on three platforms, and a list of API integrations nobody remembers wiring up. Without an explicit audit, the new team either (a) silently lets things keep running while they ramp up — and inherits the mistakes, or (b) tears it down and rebuilds — and loses the institutional knowledge of what was actually working.
This skill produces the third option: a single audit document that captures the live state cleanly, scores each item, and feeds directly into the next planning conversation. It is read-only — it never pauses, modifies, or kills a campaign.
| Channel | What's inventoried | What's scored |
|---|---|---|
| Paid search | Active Google Ads / Microsoft Ads campaigns, ad groups, keywords, daily budgets, last-modified dates | Spend efficiency, quality scores, conversion-tracking health, negative-keyword coverage, dead ad groups still spending |
| Paid social | Active Meta / LinkedIn / TikTok / Pinterest / X campaigns + audiences + creatives | Frequency, learning-phase status, creative fatigue, audience overlap, attribution-window correctness |
| Retail media | Amazon Ads, Walmart Connect, Instacart Ads accounts and campaigns | ACOS, branded vs non-branded split, share-of-voice for top SKUs |
| Active automations / journeys (Klaviyo, HubSpot, ActiveCampaign, Brevo, Marketo), send lists, deliverability metrics | Open rates, sender reputation, list hygiene age, GDPR/DPDPA consent provenance for every list, broken templates | |
| Organic social | Posting cadence per platform (last 90 days), engagement rate, follower trend | Cadence consistency, AI-disclosure compliance, locale coverage |
| Content / SEO | Pages publishing in last 90 days, ranking keywords (top 50), schema markup state, internal-link density | Indexation health (GSC), Core Web Vitals, AI-Overview citation rate, technical-debt items |
| AEO / GEO | Brand mention rate across Google AI Mode, Perplexity, ChatGPT search, Claude search, Copilot, Gemini App | Mention rate vs top 5 competitors, citation share, recommendation share |
| CRM + automation | Live workflows in HubSpot / Salesforce / Pipedream / Zapier / Make, segments in use, lifecycle stage mappings | Orphaned workflows (no recent execution), broken connectors, duplicate-contact rate |
| Web analytics | GA4 properties + GSC properties wired to which domains, conversion events configured, consent-mode state | Tag-firing health, event-naming consistency, attribution model selected |
| Influencer / PR | Active creator deals (live + paused), contracted deliverables, FTC-disclosure compliance | Cost per engagement, creator-audience-authenticity check, disclosure completeness |
| Compliance posture | Active brand-level claims, EU AI Act Article 50 disclosure state on AI content, C2PA signing state, cookie/consent banner version | Each regulated claim mapped to a primary source; missing disclosures escalated |
The audit also captures what's NOT happening that should be — channels with zero activity, missing tracking pixels, expired API tokens, abandoned automations.
test cases passed, vs 6 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.