Digital Marketing Pro

Audit landing pages, forms, pricing pages, and checkout flows for conversion killers, and design statistically sound A/B tests — ICE-prioritized recommendations, hypothesis templates, and script-computed sample sizes and significance checks. Advises and plans; it does not edit your site or run the tests. Triggers on "/digital-marketing-pro:cro", "audit this landing page", "why is our conversion rate so low", "how long should this A/B test run", "reduce cart abandonment". Reads the brand profile, industry benchmarks, and campaign history before making recommendations.

Show the Digital Marketing Pro guide with live plugin state — version, agent, skill, command, and connector counts read from plugin-metadata.py, never hardcoded — plus getting-started steps, examples, and troubleshooting. Includes the --intent goal-routing mode, which turns a stated goal into up to 3 ordered skill chains ending at a quality gate, and renders depth-tier badges — [E] executes scripts, [M] measured output, [G] structured guidance — read from skills-index.json. Triggers on "/digital-marketing-pro:help", "what can this plugin do", "which skill should I use for more leads", "list all the commands", "how do I get started". Pairs with /digital-marketing-pro:status and /digital-marketing-pro:integrations for brand and connector state.

Run the unified pre-publish quality gate on marketing content — wraps scripts/eval-runner.py to score hallucination risk, claim substantiation (with --evidence), brand-voice fit (with --brand), structure (with --schema), content quality, and readability, plus a C2PA provenance check for AI assets in EU-targeted campaigns; returns a composite score with a PASS / WARN / BLOCKED decision and per-issue fix suggestions. Reports only — it never edits the content. Triggers on "/digital-marketing-pro:check", "is this safe to publish", "run a hallucination check on this draft", "validate this copy against the brand voice", "pre-publish quality gate". Resolves the active brand profile automatically; pairs with /digital-marketing-pro:c2pa-metadata to fix missing manifests.

Save a structured marketing learning to the brand's intelligence graph — insight text, context conditions (channel, audience, objective), confidence score, source, and supporting evidence — deduplicated against related learnings, with contradictions surfaced for a decision and a confirmation plus graph stats returned. Triggers on "/digital-marketing-pro:learn", "save this insight", "remember that subject lines with numbers win for us", "log what we learned from this campaign", "record this test result". Reads the brand profile to validate the learning fits the brand's domain, writes via the intelligence-graph script, and routes each saved learning to the relevant specialist agents so future recommendations use it.

Retrieve validated marketing learnings from the brand's compound intelligence graph for a channel, audience, objective, or freeform situation — returned as a themed, decision-ready playbook ranked by confidence and recency, with conflicting insights flagged and quick wins called out. Triggers on "/digital-marketing-pro:recall", "what do we know about email for this audience", "what worked last time we ran a launch campaign", "pull past learnings before I plan this", "recall insights about paid social". Reads the brand profile for context boosting and queries the graph via intelligence-graph.py; it retrieves and synthesizes existing learnings — it does not record new ones.

Print a read-only status snapshot of the active brand via scripts/dm-status.py: profile summary, engagements with current part and update age, last five insights, recent compliance violations, and Python dependency mode — with --quiet, --json, --section, and --brand variants. Triggers on "/digital-marketing-pro:status", "what's my DMP status", "what brand am I on", "show engagement status", "status snapshot". Never modifies state: switching brands is /digital-marketing-pro:switch-brand, advancing engagements is /digital-marketing-pro:engagement, connector status is /digital-marketing-pro:integrations, and content checks are /digital-marketing-pro:check.

Strategy module for Answer Engine / Generative Engine Optimization — audits AI visibility, restructures content for citation, runs entity-consistency checks across Knowledge Graph, Wikidata, Wikipedia, Crunchbase, and LinkedIn, and produces JSON-LD schema specs, monitoring frameworks, and a 90-day LLM content strategy. Triggers on "/digital-marketing-pro:aeo-geo", "how do we get cited by AI", "optimize for AI Overviews", "fix our entity consistency", "do we need llms.txt". Reads the brand profile, compliance rules, and industry benchmarks; its measurement counterpart is /digital-marketing-pro:aeo-audit, with GSC actuals via /digital-marketing-pro:gsc-ai-performance.

Guide the connection of a known MCP integration to the plugin — looks up the connector registry via connector-status.py, checks current status, and returns transport-specific setup steps (OAuth for HTTP connectors, env-var credentials plus the exact .mcp.json block for npx connectors), verification steps, and the skills each connector unlocks. Triggers on "/digital-marketing-pro:connect", "connect Google Ads", "hook up Slack to the plugin", "set up the HubSpot integration", "how do I add Mailchimp". Guidance and status checks only — the user adds credentials themselves; unknown or custom servers route to /digital-marketing-pro:add-integration.

Compare 2-4 marketing budget scenarios side by side with directional point-estimate projections — revenue, ROI, and risk per scenario, deltas versus the current baseline, and a recommendation with the key trade-offs spelled out. The fast alternative to full Monte Carlo via /digital-marketing-pro:simulate; outputs are planning aids built from stated assumptions, not forecasts. Triggers on "/digital-marketing-pro:what-if", "should we shift budget from paid to content", "compare these two budget splits", "what happens if we double the ads budget", "quick scenario check before the meeting". Runs revenue-simulator.py in what-if mode and calibrates against the brand profile's historical channel performance.

Sync marketing data to and from Salesforce, HubSpot, Zoho, or Pipedrive — contacts, deals, and campaign links with field mapping, deduplication, consent checks, batched execution behind a mandatory approval gate, and a rollback manifest. Produces a full sync report with per-record outcomes. Triggers on "/digital-marketing-pro:crm-sync", "push these contacts into HubSpot", "sync deals to Salesforce", "our CRM and marketing lists don't match", "set up a recurring CRM sync". Reads the brand profile and compliance rules; for scored lead imports use /digital-marketing-pro:lead-import instead.

Build a complete media pitch package: an email-ready core pitch with subject line options, 3-5 outlet-specific variations, a target media list with journalist beats and approach notes, an outreach timeline, plus press release draft, fact sheet, and quote bank. Also crafts responses for journalist request platforms (Qwoted, Featured, Source of Sources). Triggers on "/digital-marketing-pro:pr-pitch", "pitch this story to journalists", "build a media list for our launch", "respond to this journalist request", "write a press release and pitch". Reads the brand profile, guidelines, and custom templates for voice and compliance; produces the materials only — it does not send any outreach.

Prepare a complete Quarterly Business Review package from the quarter's campaign data: a performance scorecard of goals vs actuals vs benchmarks, top-3 wins with attribution stories, underperformance root-cause analysis, ROI and budget-efficiency breakdowns, 3-5 strategic recommendations, upsell business cases, a next-quarter roadmap, action items with owners, and an account health score. Triggers on "/digital-marketing-pro:qbr-plan", "prepare the QBR", "build the quarterly review for this client", "quarterly business review deck", "summarize the quarter for the client meeting". Reads the brand profile, guidelines, custom templates, and agency SOPs; works from campaign data the user supplies and structures the presentation content — it does not pull live platform metrics itself.

Send an SMS or WhatsApp marketing message through a connected Twilio or Brevo MCP, with consent verification (TCPA/GDPR/CASL), quiet-hours enforcement, opt-out and message-length checks, cost estimates, and delivery tracking. Nothing sends without an Execution Summary and explicit typed approval — the gate cannot be skipped. Triggers on "/digital-marketing-pro:send-sms", "send an SMS blast", "send this WhatsApp message to the list", "text our customers about the sale", "schedule an SMS for tomorrow morning". Reads the brand profile and compliance rules, scores the message with the brand-voice scorer, and logs every send to the execution audit trail.

Build a 12-month SEO strategy and phased roadmap with industry templates (SaaS, ecommerce, local, publisher, agency). With fresh specialist outputs it runs as a dispatcher: scores four pillars — technical, content, topical, AI search — and makes the weakest pillar the plan's lead theme; missing specialists re-run only after explicit confirmation. Plans and prioritises only — makes no live changes. Triggers on "/digital-marketing-pro:seo-plan", "build an SEO strategy", "what should our SEO roadmap be", "plan SEO for a new site", "which SEO pillar is weakest". Reads specialist PLAN.md outputs (tech-seo-audit, content-decay-scan, aeo-audit, backlink-gap, keyword-cluster, seo-drift); feeds /digital-marketing-pro:content-engine and /digital-marketing-pro:campaign-plan.

Run Monte Carlo simulations (default 10,000 iterations via revenue-simulator.py) of marketing scenarios — channel-mix shifts, budget reallocations, new-channel launches — reporting expected/P10/P50/P90 revenue, probability of hitting a stated target, risk-adjusted scenario ranking, and tornado-chart sensitivity analysis. Models outcomes only — commits no budget and changes no campaigns. Triggers on "/digital-marketing-pro:simulate", "what if we shift 30% of paid budget to TikTok", "simulate next quarter's revenue", "what's the probability we hit the target", "compare these budget scenarios". Reads the brand's historical performance plus industry-profile and channel-family benchmarks to calibrate ROI distributions.

Audit how a brand appears across the 6 canonical AI answer surfaces — ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, Copilot — probing 10-25 queries into a numbered output bundle with per-platform visibility scorecards, citation-accuracy checks, a competitor matrix, content gaps, and an optimization playbook behind a four-gate quality scorecard. Triggers on "/digital-marketing-pro:aeo-audit", "does ChatGPT know about our brand", "check our AI search visibility", "how does Perplexity describe us", "are we showing up in AI Overviews". Reads the brand profile; reconciles probes against GSC actuals via /digital-marketing-pro:gsc-ai-performance and defines the AI-visibility scoring standard reused by geo-monitor and share-of-voice.

Build local SEO strategy end to end — Google Business Profile optimization, NAP consistency and citation cleanup, local pack ranking tactics, location and service-area pages, review management, local link building, LocalBusiness schema, and multi-location management — delivered as audit reports, checklists, and a 30/60/90-day roadmap. Triggers on "/digital-marketing-pro:local-seo", "optimize my Google Business Profile", "why aren't we in the map pack", "fix our NAP consistency", "local SEO for our 12 locations", "rank for near me searches". Includes Google's 2026 agentic-booking guidance for local services, home repair, beauty, and pet care verticals. Reads the brand profile and compliance rules; its reference files also power /digital-marketing-pro:local-seo-audit.

Run a comprehensive SEO audit across technical health, on-page, content quality, E-E-A-T, link profile, and local SEO — producing dated numbered outputs (crawl inventory through prioritised actions) plus a single-page PLAN.md with an impact-by-effort action plan and a four-gate quality scorecard. Triggers on "/digital-marketing-pro:seo-audit", "audit my site's SEO", "why did our rankings drop", "check our technical SEO health", "how strong is our E-E-A-T". Reads the brand profile; PLAN.md feeds /digital-marketing-pro:seo-implement, /digital-marketing-pro:seo-plan, and /digital-marketing-pro:seo-drift, with link prospecting handed to /digital-marketing-pro:backlink-gap.

Compare two SEO snapshots from the same source — GSC, the GSC AI Performance report, a rank-tracker export, or aeo-audit probes — into a drift report: top gainers and losers per metric, growth/decline/reshuffle/stable/new/lost classification, and a four-gate quality scorecard. Triggers on "/digital-marketing-pro:seo-drift", "compare this month's GSC export to last month's", "what moved after the core update", "did the content refresh work", "which queries lost AI Mode impressions". Runs scripts/seo_drift.py on two CSVs, reads the brand profile for noise thresholds, and branches findings to /digital-marketing-pro:seo-audit, /digital-marketing-pro:aeo-geo, or /digital-marketing-pro:content-engine.

Score customer segments for churn risk from behavioral signals — email engagement decline, purchase recency, usage drops, support sentiment — producing a 0-100 risk scorecard with four tiers, per-tier intervention playbooks (actions, timing windows, channels, messaging), LTV-at-risk totals, and retention-ROI prioritization. Assesses and recommends; it does not send outreach or launch campaigns. Triggers on "/digital-marketing-pro:churn-risk", "which customers are about to churn", "score our segments for churn risk", "email engagement is dropping, who is at risk", "build a retention intervention plan". Pulls behavioral data from a connected CRM MCP (Salesforce or HubSpot) or user-provided exports, runs scripts/churn-predictor.py, and reads the brand profile for lifecycle context.

Plan and draft digital PR campaigns — tiered media lists, customized journalist pitches, press releases, journalist-request responses (Qwoted, Featured, Source of Sources), thought-leadership calendars, and E-E-A-T authority audits. Produces strategy documents, pitch templates, and press kits; sending the outreach stays with you. Triggers on "/digital-marketing-pro:digital-pr", "pitch this story to journalists", "write a press release for our launch", "how do we build E-E-A-T authority", "respond to this journalist request". Reads the brand profile, guidelines, and campaign history, and pairs with /digital-marketing-pro:content-engine for byline content.

Batch-evaluate a whole set of content pieces — files, a directory, or pasted blocks — in one run, producing a ranked portfolio quality report: grade distribution, per-dimension averages, systemic issues, a prioritized revision list, and auto-rejects below threshold. Triggers on "/digital-marketing-pro:eval-suite", "score our whole content library", "quality-check all campaign assets before launch", "evaluate these 5 drafts together", "which deliverables are weakest". Runs eval-runner.py per item, logs every score to the quality tracker for trend analysis, and reads the brand profile and guidelines for scoring context.

Import agency Standard Operating Procedures — approval workflows, campaign launch checklists, escalation procedures, QA steps — and structure them into numbered, role-assigned steps with human-approval gates marked. SOPs save at the agency level so they apply across every client brand, not per-brand. Triggers on "/digital-marketing-pro:import-sop", "add our content approval workflow", "import our launch checklist", "here is our crisis escalation process", "every deliverable must follow these steps". Reads the active brand profile for context, merges with an existing SOP of the same name after confirmation, and explains which commands will reference the SOP.

Build a ready-to-implement paid media plan — efficiency-weighted budget allocation across channels, a week-by-week flight schedule, an audience-by-channel targeting matrix, a creative rotation calendar with fatigue thresholds, reach and frequency projections, a measurement framework, platform setup checklists, and a 10-15% contingency reserve with reallocation triggers. Triggers on "/digital-marketing-pro:media-plan", "plan our Q4 ad budget", "how should we split spend between Google and Meta", "build the media buy schedule", "we have 50K for paid — where does it go". Planning only — it launches no campaigns and spends nothing. Reads the brand profile, guidelines, and compliance rules for the target markets.

Generate a branded, audience-structured marketing report — executive summary, campaign report, channel deep-dive, competitor report, or monthly/quarterly review — assembled via pdf-generator.py with brand colors, logo, and fonts, and previewed for adjustments before finalizing. Pulls data from campaign-tracker.py, performance-monitor.py, competitor-tracker.py, and connected analytics MCPs, flagging stale sources. Triggers on "/digital-marketing-pro:pdf-report", "generate a client report", "build an executive summary PDF", "create the quarterly review report", "make a branded campaign report". Reads the brand profile for the stored report theme; structures content for c-suite, team, or client audiences.

Turn a real experience — a client win, failed launch, support ticket, founder moment — into 3-5 distinct content angles from a five-type taxonomy (lesson, contrarian take, framework, proof, relatable moment), each with format, pillar, and a draft opening in brand voice, plus an honest list of angles the story does not support. Triggers on "/digital-marketing-pro:story-mine", "mine this story", "we just had a client win", "is there a post in this", "turn this experience into content". Client stories anonymise by default (--client-safe); reads the brand profile for voice, pillars, and compliance; angles route to /digital-marketing-pro:content-engine for drafting and strong proof angles to /digital-marketing-pro:case-study-plan.

Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each scored 1-10 with policy-compliance flags, A/B testing groupings, and a message-match check against the landing page. Triggers on "/digital-marketing-pro:ad-creative", "write ad copy for Meta", "give me RSA headline variations", "we need LinkedIn ad copy", "draft TikTok ad creative". Reads the brand profile, guidelines, and compliance rules; routes video ad scripts to /digital-marketing-pro:video-script and gates AI-generated visuals for EU campaigns through /digital-marketing-pro:c2pa-metadata and /digital-marketing-pro:check.

Create or update the brand profile every other skill reads — a quick 5-question or full 17-question interactive setup capturing identity, business model, industry and compliance markets, 4-dimension voice scales, channels, goals, and competitors, saved to ~/.claude-marketing/brands/{slug}/profile.json via scripts/setup.py. Triggers on "/digital-marketing-pro:brand-setup", "set up a new brand", "onboard a new client", "switch to another brand", "update our brand voice". Also handles brand switching (updates _active-brand.json) and field-level profile edits; run this first — all marketing skills auto-apply the resulting profile, voice samples, and compliance rules.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Detect and model the growth loops already compounding in a business — viral, content, data, paid, ecosystem, community — then quantify each loop's amplification factor, cycle time, and bottleneck, propose new loops, and rank investments by projected 12-month ROI with a sequenced implementation roadmap. Triggers on "/digital-marketing-pro:loop-detect", "what growth loops do we have", "model our viral loop", "why isn't growth compounding", "where should we invest for compound growth". Runs the growth-loop-modeler script for detection and 12-month loop comparisons, and reads the brand profile for business model and industry benchmarks. Analysis and recommendations only — it changes nothing in any live system.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.