Marketing & Growth

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Map the buyer journey activity your attribution can't see — Reddit and community mentions, AI chatbot citations, podcast lift, dark social, and word-of-mouth — into a dark funnel intelligence report with per-channel health scores, marketing-activity correlations, and prioritized investment recommendations. Triggers on "/digital-marketing-pro:dark-funnel", "where is our untracked traffic coming from", "branded search spiked and we don't know why", "map our dark funnel", "people say they heard of us on a podcast". Reads the brand profile and pairs with /digital-marketing-pro:geo-monitor for AI-visibility signal input.

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Export marketing data — metrics, contacts, campaigns, performance snapshots — to BigQuery, Google Sheets, or Supabase as clean tabular data with schema documentation, PII redaction, and post-export integrity verification, gated behind an explicit approval step. Triggers on "/digital-marketing-pro:data-export", "send this month's metrics to BigQuery", "export contacts to a Google Sheet", "get campaign data into our warehouse", "set up a recurring weekly export". Reads local campaign, execution, and performance stores plus connected analytics and CRM MCPs, and pairs with /digital-marketing-pro:segment-audience to build a segment before exporting its members.

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Import CSV, JSON, or Google Sheets data into a connected CRM, email platform, or audience store — auto-suggested field mapping, validation, dedup against existing records, consent verification, and batched writes behind a mandatory approval gate, with rollback guidance. Produces a per-record import results report. Triggers on "/digital-marketing-pro:data-import", "import this CSV of leads into HubSpot", "load subscribers into Mailchimp", "half these rows have bad emails", "dry-run this import first". Reads brand compliance rules (GDPR, CAN-SPAM, CCPA) for contact data and executes through the destination platform's connected MCP.

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View and tune the brand's content evaluation settings — per-dimension minimum score thresholds, composite weight distribution, auto-reject floors, and content-type overrides — with validation, before/after scoring comparisons, and industry-based recommendations. Outputs an updated, internally consistent eval configuration. Triggers on "/digital-marketing-pro:eval-config", "raise the hallucination threshold", "why did this draft auto-reject", "recommend eval settings for healthcare", "reset eval scoring to defaults". Reads the brand profile and guidelines, writes via eval-config-manager.py, and pairs with /digital-marketing-pro:eval-content to see the new bar in action.

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Run a simulated focus group: AI personas grounded in your CRM data react to messaging, pricing, or creative stimuli, producing a transcript with per-segment sentiment, consensus themes, objections, and explicit confidence caveats — directional hypotheses, not real consumer research. Triggers on "/digital-marketing-pro:focus-group", "test this messaging before we spend on research", "how would our segments react to this pricing", "run a synthetic panel", "which positioning lands better". Builds and reuses panels via audience-simulator.py, reads the brand profile, and shares panel IDs with /digital-marketing-pro:message-test.

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Track brand visibility in AI answers on a recurring schedule across the 6 canonical surfaces — ChatGPT, Perplexity, Gemini, Google AI Mode, AI Overviews, Copilot — scoring each query on the shared aeo-audit rubric and rolling results into a 0-100 GEO health trend with narrative-drift flags and competitor benchmarks. Triggers on "/digital-marketing-pro:geo-monitor", "is ChatGPT mentioning us", "track our AI visibility over time", "monitor brand mentions in Perplexity", "did our AI Overviews presence change". Records and diffs runs via geo-tracker.py, reads the brand profile for positioning, and is the recurring mode of /digital-marketing-pro:aeo-audit.

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Lock ONE primary marketing goal per brand, then judge any idea, draft, campaign, or plan against it — ON GOAL, PARTIAL, or OFF — always returning the fix or a sharper version that pulls harder toward the metric, and naming drift patterns across the verdict history. Triggers on "/digital-marketing-pro:goal-filter", "is this on goal", "lock the goal for this quarter", "does this serve the objective", "keep me focused", "what's our priority". Stores the lock in the brand workspace (goal-lock.json) so every session reads the same goal; inside a 12-Part engagement it offers to lock Part 1's primary objective rather than inventing a parallel one.

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Produce the 11-section Growth Plan — the flagship Part 8 client-facing deliverable that synthesises Parts 1-7 of the engagement into a single 20-30 page executable strategy with three-scenario forecasts, an In-Market/Out-Market budget split, and a 30/60/90 timeline, exported to PDF and DOCX. Triggers on "/digital-marketing-pro:growth-plan", "produce the growth plan", "write the strategy document for the client", "run part 8", "synthesise the engagement into one deliverable". Requires Parts 1-7 complete; reads the Four Core Documents, the Living Project Instruction File, and Part 7 prep docs, and pairs with /digital-marketing-pro:yearly-planner.

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Build a three-phase launch playbook — pre-launch (T-30), an hour-by-hour launch-day runbook, and post-launch optimization (T+30) — with per-task owners and deadlines, channel activation plans, a risk register, and KPIs per phase. Triggers on "/digital-marketing-pro:launch-plan", "plan our product launch", "launch playbook for the new feature", "what should launch week look like", "coordinate the rebrand rollout". Planning only: it performs no external action itself; any playbook step handed to an execution skill such as /digital-marketing-pro:launch-campaign or /digital-marketing-pro:send-email-campaign must pass that skill's own typed-yes approval gate first. Reads the brand profile, guidelines, templates, and agency SOPs.

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Import leads into Salesforce, HubSpot, Zoho, or Pipedrive with validation, deduplication against existing CRM records, lead scoring, consent and compliance checks, and source attribution — then push via the CRM MCP and return a full import report with an audit log. Triggers on "/digital-marketing-pro:lead-import", "import these leads", "load this CSV into the CRM", "add the webinar signups to HubSpot", "dedupe and score this lead list". Nothing touches the live CRM until the Execution Summary is approved with a typed yes — the approval gate is mandatory. Scores leads with the marketing-automation lead-scoring framework and reads the brand profile; for general CRM syncing without scoring use /digital-marketing-pro:crm-sync.

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A/B test content variations by quality score: create a named test, log each variant (scored via eval-runner.py on hallucination, content quality, and readability), and get a winner declaration with margin of victory, confidence level, per-dimension trade-offs, and auto-reject flags. Produces a decision-ready recommendation plus reusable insights about which approach wins for this brand. Triggers on "/digital-marketing-pro:prompt-test", "which headline style works better", "A/B test these subject lines", "compare two versions of this copy", "show the results of my content test". Reads the brand profile and guidelines for evaluation context; compares eval scores, not live audience performance — pair with /digital-marketing-pro:ab-test-plan for real-traffic experiments.

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Generate a performance report from connected analytics MCPs (Google Analytics, Google/Meta/LinkedIn Ads, email platforms) and deliver it via Slack, email, or Google Sheets — weekly pulse, monthly review, QBR, or custom, with KPIs scored against targets, trend and anomaly analysis, event annotations, and 3-5 prioritized recommendations. Delivery waits at a mandatory approval gate: you review the full report preview and recipient list (risk tiered low for internal, medium for client-facing) before anything is sent. Triggers on "/digital-marketing-pro:send-report", "send the weekly report to Slack", "email the monthly performance review to the client", "push our KPIs into the tracking sheet", "prep the QBR and deliver it". Reads the brand profile's targets and archives each report snapshot for period-over-period comparison.

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Triage a raw dump of external material — news, social threads, community discussions, competitor moves, sales-call notes — into content angles the brand has authority to make, each mapped to a pillar with a format and timeliness window, plus an explicit dropped-signals list recording why the rest were rejected. Triggers on "/digital-marketing-pro:signal-mine", "mine this", "what content is in here", "turn this industry news into ideas", "any angles for us in this thread". Requires the brand profile (pillars, audience, competitors) and stops without one; unverified claims route to /digital-marketing-pro:verify-claims before anything cites them; surviving angles feed /digital-marketing-pro:content-engine.

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Manage the agency's Standard Operating Procedure library — create SOPs from category templates, list the library, assign SOPs to brands with per-brand overrides, check compliance against logged executions, version updates with archived backups, and view full histories. Triggers on "/digital-marketing-pro:sop-library", "create an SOP for blog publishing", "assign the reporting SOP to this brand", "are we following our SOPs", "update the campaign launch checklist". Stores SOPs under ~/.claude-marketing/sops/, reads execution history via execution-tracker.py for compliance scoring, flags declining adherence, and pairs with brand profiles in multi-client agency workflows.

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Batch-sync this session's learnings, insights.json entries, and campaign history into the persistent memory layer — incremental from the last checkpoint so repeat runs are fast and idempotent — and report exactly what was synced, skipped, or failed. Triggers on "/digital-marketing-pro:sync-memory", "save what we learned this session", "sync insights to memory", "persist campaign learnings before I close", "did my session learnings get saved". Stores via a connected vector-DB MCP when one exists, otherwise the local index; reads the active brand profile and complements /digital-marketing-pro:save-knowledge, which saves single items.

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Assign marketing tasks to team members by scoring role fit, channel expertise, current utilization, and region alignment; also lists active assignments and builds workload dashboards with capacity warnings and rebalancing suggestions. Triggers on "/digital-marketing-pro:team-assign", "who should write the Q2 email sequence", "assign this task to someone on the team", "show current assignments", "is anyone on the team overloaded". Reads the team roster and capacity via team-manager.py, notifies assignees through a connected Slack or email MCP when available, and logs every assignment for audit.

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Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via sample-size-calculator.py), test duration, guardrail metrics, stopping rules, and go/no-go decision criteria. Triggers on "/digital-marketing-pro:ab-test-plan", "set up an A/B test", "how long should my test run", "calculate sample size for an experiment", "is this test result significant". Reads the brand profile and past campaign-tracker results to avoid re-testing validated hypotheses; finished tests are evaluated with significance-tester.py by the cro-specialist agent.

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Scan all connected marketing platforms for statistically significant deviations from stored baselines — traffic drops, CPA spikes, deliverability collapse, budget overruns, or unexpected wins — classified critical/warning/info with probable causes, correlation to recent changes, and recommended actions. Triggers on "/digital-marketing-pro:anomaly-scan", "why did our CPA spike", "did anything weird happen this week", "check for anomalies", "our conversions suddenly dropped". Runs performance-monitor.py for baselines and detection, correlates flags against execution-tracker.py history and the diagnostic framework in skills/analytics-insights/anomaly-diagnosis.md, and persists critical findings as insights via campaign-tracker.py. Reads the brand profile.

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Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on "/digital-marketing-pro:backlink-gap", "where are competitors getting links we aren't", "plan a link-building campaign", "quarterly backlink audit", "first 50 link targets for a new client". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch.

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One-shot setup that wires Digital Marketing Pro for team use in Anthropic Cowork — verifies the sandbox via plugin-metadata.py, checks a Google Drive MCP is connected, creates the canonical Drive folder skeleton (_brands/, _runs/, _plans/), and writes the routing config via drive-sync-state.py so brand profiles, plans, and run checkpoints persist across sessions. Triggers on "/digital-marketing-pro:cowork-setup", "set up DMP for my team in Cowork", "brand profiles aren't persisting between sessions", "route outputs to our shared Drive", "first-time Cowork install". Run once per team; in local Claude Code it only offers optional Drive mirroring. Pairs with /digital-marketing-pro:brand-setup next and /digital-marketing-pro:doctor to verify routing.

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Audit brand entity consistency across the knowledge sources AI engines trust — Wikidata properties, Google Knowledge Panel, Wikipedia presence and notability, and industry directories — producing a consistency scorecard, per-property discrepancy list, and a fix plan ranked by AI-visibility impact. Audits and recommends; it does not edit those platforms for you. Triggers on "/digital-marketing-pro:entity-audit", "is our Knowledge Panel accurate", "our Wikidata entry shows the wrong founding date", "audit our entity data", "why do AI engines get our company facts wrong". Reads the brand profile as the source of truth and logs each finding via geo-tracker.

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Score marketing content across six dimensions — content quality, brand voice, hallucination risk, claim verification, structure, readability — into a composite score with letter grade, a severity-classified issue list with fix suggestions, and a pass/fail/review recommendation. Every run is logged for trend tracking. Triggers on "/digital-marketing-pro:eval-content", "score this draft before it ships", "check this post for hallucinations", "does this match our brand voice", "is this landing page copy publication-ready". Reads the brand profile, guidelines, and compliance rules, and applies custom thresholds set via /digital-marketing-pro:eval-config.

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Generate a C-suite-ready executive summary of marketing performance — ROI, CAC, LTV, top-3 wins and risks, strategic recommendations, and budget utilization — for a single brand or the whole portfolio, adapted to CEO, CMO, CFO, or board audiences. Triggers on "/digital-marketing-pro:exec-summary", "prepare the board report", "summarize this quarter for the CEO", "portfolio ROI summary", "what do I tell leadership". Computes KPIs via the CLV, ROI, forecaster, and budget-optimizer scripts, pulls data from connected analytics and CRM MCPs, reads the brand profile, and pairs with /digital-marketing-pro:competitor-analysis for competitive context.

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Audit an existing funnel's stage-to-stage conversion data to find where prospects drop off and why — benchmarked against industry averages, with the top 3 bottlenecks ranked by revenue impact, root causes, improvement scenarios, and a prioritized action plan. Triggers on "/digital-marketing-pro:funnel-audit", "why is our funnel leaking", "find our biggest drop-off point", "audit conversion by stage", "our demo-to-close rate collapsed". Sizes the validating experiment with sample-size-calculator.py and confirms lifts with significance-tester.py; reads the brand profile and pairs with /digital-marketing-pro:funnel-architect for redesign.

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Show the MCP integration status dashboard — which connectors are connected, which are available but not yet configured, the skills each one unlocks, per-category coverage, and the top three quick-win connectors to add next. Read-only status check via connector-status.py; it changes nothing. Triggers on "/digital-marketing-pro:integrations", "what integrations are connected", "which connectors do I have", "what would connecting a CRM unlock", "show my integration coverage". Pairs with /digital-marketing-pro:connect for connector setup instructions and /digital-marketing-pro:add-integration for custom MCP servers.

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Test 2-6 message variants against synthetic audience panels grounded in CRM data before spending on live tests — each variant scored per segment on resonance, clarity, credibility, urgency, and differentiation, with objection patterns, personalization opportunities, and the top 2-3 variants recommended for a real A/B test. Triggers on "/digital-marketing-pro:message-test", "which of these headlines will win", "pretest this ad copy", "test these subject lines on our segments", "predict objections before we launch". Runs the audience-simulator script, can reuse panels built by /digital-marketing-pro:focus-group, and reads the brand profile for voice and positioning. Results are directional preference signals with an explicit confidence rating — not live conversion data.

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Estimate willingness-to-pay by testing 3-8 candidate price points against synthetic audience panels grounded in CRM purchase data (audience-simulator.py), Van Westendorp / Gabor-Granger style. Produces per-segment sensitivity curves, an optimal price, the acceptable price range, revenue- vs volume-maximizing prices, competitive positioning, and tiering recommendations — always with explicit confidence limits. Triggers on "/digital-marketing-pro:pricing-test", "what should we charge for this", "test these price points", "is our pricing too high", "should we introduce pricing tiers". Reads the brand profile for positioning and market context; results are directional simulations that require real-world validation, not live market tests.

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Publish a blog post to WordPress or Webflow through the connected CMS MCP with SEO metadata, categories and tags, featured image, slug optimization, and optional scheduling. Runs pre-publish gates — content-scorer.py, brand-voice-scorer.py, SEO and compliance checks — and a MANDATORY approval gate: an Execution Summary the user must approve with an explicit typed yes (logged via approval-manager.py) before anything goes live, then verifies the live URL and schema markup and submits to Google Search Console if connected. Triggers on "/digital-marketing-pro:publish-blog", "publish this post to WordPress", "push the draft live on Webflow", "schedule this article for Monday", "take this blog post live". Reads the brand profile and platform-publishing-specs.md for CMS field mappings.

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Set up and run keyword ranking monitoring — baseline capture, scheduled position checks against GSC and connected rank-tracker MCPs, and severity-tiered alerts (minor/major/critical) on drops; --features adds a query-by-SERP-feature ownership matrix including AI Overview citation presence. Triggers on "/digital-marketing-pro:rank-monitor", "track our keyword rankings", "why did our rankings drop", "alert me when positions change", "are we in the AI Overview for this query". Reads the brand profile and saved keyword lists; for scored AI visibility pair with /digital-marketing-pro:geo-monitor, and for snapshot comparison /digital-marketing-pro:seo-drift.

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Deprecated pointer skill — SERP-feature tracking merged into rank-monitor, and this skill only explains the move and redirects you to run /digital-marketing-pro:rank-monitor --features (AI Overviews, Featured Snippets, People Also Ask, Knowledge Panels, Local Pack, and more, plus feature ownership vs competitors). Triggers on "/digital-marketing-pro:serp-tracker", "track SERP features", "are we showing in AI Overviews", "who owns the featured snippet", "monitor the local pack". Performs no tracking itself; pairs with /digital-marketing-pro:rank-monitor for positions plus features, /digital-marketing-pro:geo-monitor and /digital-marketing-pro:aeo-audit for scored AI visibility, and /digital-marketing-pro:gsc-ai-performance for real AI impressions.

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Switch the active brand profile for multi-client and agency work by running setup.py --switch-brand, after listing configured brands with the active one starred; confirms the new brand's industry, business model, and primary channel so subsequent outputs use its voice and compliance rules. Triggers on "/digital-marketing-pro:switch-brand", "switch to the other client", "change brand to Acme", "list available brands", "what brands do I have set up". Can present a side-by-side comparison of two brand profiles on request; offers /digital-marketing-pro:brand-setup when the brand isn't found; pairs with /digital-marketing-pro:status to verify the active context.

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Plan a webinar or virtual event end to end — format selection, minute-by-minute run of show, registration page copy, a 3-week multi-channel promotion calendar, email sequences, presenter guide, engagement plan, post-event follow-up funnel, and a day-of checklist with success metrics. Triggers on "/digital-marketing-pro:webinar-plan", "plan a webinar on X", "how do we get more webinar registrations", "build the follow-up sequence for our virtual event", "run of show for next month's demo day". Reads the brand profile, guidelines, and agency SOPs; produces the plan and copy for a team to execute — it does not send emails or configure the webinar platform itself.

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Embed a C2PA provenance manifest into an AI-generated marketing asset (PNG, JPG, WebP, GIF, TIFF, MP4, MOV, WebM, MP3, WAV, PDF) via scripts/embed-c2pa.py — produces a signed copy of the file carrying IPTC digital-source-type AI claims, an optional c2pa.ai-disclosure assertion for EU AI Act Article 50 (applicable 2 Aug 2026), and a JSON status report. Triggers on "/digital-marketing-pro:c2pa-metadata", "sign this AI image for EU compliance", "add content credentials to this asset", "embed provenance metadata", "mark this video as AI-generated". Uses a self-signed dev certificate unless --signing-cert/--signing-key are supplied; pairs with /digital-marketing-pro:check, which verifies manifests pre-publish.

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Generate a complete multi-channel campaign plan document — SMART objectives, audience segments with targeting criteria, channel mix with rationale, a budget allocation table with reach/cost estimates, a phased timeline from pre-launch to wrap-up, a KPI framework, and a risk register. Plans only; it does not launch or modify campaigns. Triggers on "/digital-marketing-pro:campaign-plan", "plan a campaign for our product launch", "build the Q3 campaign plan", "what channels and budget for lead gen", "draft a campaign timeline with KPIs". Reads the brand profile, guidelines, and agency SOPs, and reuses the /digital-marketing-pro:campaign-orchestrator reference docs for planning frameworks instead of re-deriving them.

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Generate a white-labeled client report in agency voice — weekly pulse, monthly review, or QBR — with a KPI scorecard vs targets and comparison period, channel breakdowns, top wins with attribution, root-cause analysis of misses, 3-5 strategic recommendations, and budget efficiency. Requires explicit approval before any external send; only then can it deliver via connected Slack, email, or Google Sheets MCPs and log the delivery. Triggers on "/digital-marketing-pro:client-report", "prepare the monthly report for the client", "build the QBR for this account", "send the weekly performance pulse", "white-labeled performance report". Reads the brand profile and pulls data via campaign-tracker.py, execution-tracker.py, and connected platform MCPs; formats via report-generator.py.

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Create a production-ready content brief a writer can execute without extra context — keyword map (primary, secondary, related questions), H2/H3 outline with key points and word-count targets, brand voice guidance, on-page SEO checklist, visual/media spec with AI-generation and C2PA provenance notes, and success metrics. Triggers on "/digital-marketing-pro:content-brief", "write a brief for this topic", "brief a blog post on X", "what should this article cover", "outline and SEO requirements for a pillar page". Preferred upstream of /digital-marketing-pro:content-engine. Reads the brand profile, guidelines, and compliance rules.