Turn one piece of content into a multi-channel repurposing plan — a derivative matrix targeting 10+ formats, full platform-adapted drafts, a publishing calendar, UTM-tagged links, and per-piece brand-voice scores; every derivative must pass the standalone test (own hook, own payoff) and the cut list records what failed it. Triggers on "/digital-marketing-pro:content-repurpose", "repurpose this blog post", "turn this webinar into social posts", "get more mileage out of this article", "atomize this whitepaper". Produces drafts and a schedule, not published posts. Reads the brand profile, channel style overrides, and platform specs.
Draft marketing content in brand voice — blog posts, ad copy, email sequences, social posts, landing pages, and brand-voice guides — through a gated pipeline (research, outline, draft, fact-check, humanize, voice check, SEO checklist) with numbered working files and a five-gate quality scorecard before copy is publish-ready. Triggers on "/digital-marketing-pro:content-engine", "write a blog post about X", "draft ad copy for this campaign", "create an email sequence", "landing page copy for our product". Takes /digital-marketing-pro:content-brief as preferred upstream; hands off to /digital-marketing-pro:publish-blog, /digital-marketing-pro:content-repurpose, and /digital-marketing-pro:check. Reads the brand profile, guidelines, platform specs, and compliance rules.
Scan the content library for decay — declining traffic, falling keyword positions, stale content, broken links, lost AI citations — scoring each URL 0-100 via creative-fatigue-predictor.py and ranking refreshes by recoverable revenue, with actionable refresh briefs and traffic-recovery estimates for top-priority tiers. Triggers on "/digital-marketing-pro:content-decay-scan", "which content is losing traffic", "find stale content to refresh", "our blog traffic keeps dropping", "prioritize content refreshes". Pulls performance data from Google Analytics/Search Console MCPs or exported CSVs; cross-reference causes with /digital-marketing-pro:seo-drift. Reads the brand profile for content strategy context.
Generate a structured content calendar for a month, quarter, or custom range — topics mapped to platforms and publish dates, content-pillar and funnel-stage tags, repurposing chains from each core piece, SEO keyword targets, and owner assignments when team capacity is given. Triggers on "/digital-marketing-pro:content-calendar", "plan next month's content", "build a quarterly editorial calendar", "what should we publish in March", "map our content pillars to a schedule". Planning output only — it does not schedule or publish posts. Reads the brand profile, guidelines, and compliance rules for pillars and voice.
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.
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.
Build competitor comparison and alternatives pages — X-vs-Y head-to-heads, alternatives-to-X lists, category roundups, and feature-matrix pages — delivering a 1,500+ word page template, comparison table, JSON-LD schema via schema-generator.py, keyword and title-tag targeting, an internal-linking plan, and fairness/accuracy guardrails. Triggers on "/digital-marketing-pro:competitor-pages", "create a vs page", "build an alternatives page", "comparison page for our product", "best tools roundup for our category". Produces page content and markup, not a live publish. Reads the brand profile and guidelines, especially restrictions on competitor mentions.
Set up ongoing competitor monitoring — captures per-competitor baselines across content, pricing, ads, social, SEO, and SERP features, saves them via competitor-tracker.py, configures per-dimension scan schedules and alert rules, and produces an initial competitive intelligence brief with threat rankings. Triggers on "/digital-marketing-pro:competitor-monitor", "track our competitors over time", "watch competitor pricing pages", "set up competitor tracking", "detect when competitors change their site". Baselines power /digital-marketing-pro:competitor-alerts and share-of-voice trends. Reads the brand profile for competitive landscape context.
Run a multi-dimensional competitive teardown of 2-5 competitors — content strategy, SEO, paid ads, social, AI answer-engine visibility, and pricing/positioning — producing a competitor overview matrix, per-competitor SWOT, gap analysis, and strategic recommendations prioritized by opportunity size. Triggers on "/digital-marketing-pro:competitor-analysis", "analyze our competitors", "how do we stack up against X", "competitive landscape report", "what are competitors doing that we aren't". Point-in-time analysis, not ongoing tracking — pair with /digital-marketing-pro:competitor-monitor for that. Reads the brand profile, guidelines, and compliance rules.
Configure a tiered competitor alert system — per-competitor trigger thresholds across content, pricing, ads, social, ranking, and SERP changes, with critical/warning/info urgency routing, digest batching, and alert-fatigue guardrails — then send test alerts to verify Slack or email delivery. Triggers on "/digital-marketing-pro:competitor-alerts", "alert me when a competitor changes pricing", "set up competitor alerts", "too many competitor notifications", "tell me when competitors launch new ads". Requires baselines from /digital-marketing-pro:competitor-monitor and persists config via competitor-tracker.py; reads the brand profile for competitive context.
Segment customers into cohorts — by acquisition period, channel, first behavior, or revenue tier — and produce a color-coded retention matrix, overlaid retention curves, LTV-by-cohort comparisons with LTV:CAC where cost data exists, best/worst cohort rankings with hypothesized drivers, stabilization-point analysis, and intervention recommendations for underperformers. Analyzes and recommends; it launches nothing. Triggers on "/digital-marketing-pro:cohort-analysis", "are newer customers retaining better than older ones", "which channel produces the highest-LTV customers", "build a retention matrix", "when does our churn stabilize". Pulls customer data from connected CRM and analytics MCPs, reads the brand profile for business-model context, and saves the summary as a campaign-tracker.py insight for trend tracking.
Produce the Part 5 Client Validation Document — the one true stop of the 12-Part engagement where unbiased v1 findings from Parts 2-4 are compiled into 12-25 evidence-cited finding blocks, each awaiting an ACCEPT / REJECT / EDIT / DEFER client decision, plus a paired JSON response template. Recorded responses feed the Part 6 Decision Matrix (engagement-state.py) to determine v2 re-runs. Triggers on "/digital-marketing-pro:client-validation-document", "prepare v1 findings for client review", "run part 5 client validation", "the one true stop", "record the client's validation responses". Requires Parts 3-4 marked completed in _engagement.json; reads the eight v1 core documents; pairs with /digital-marketing-pro:engagement-workflow and /digital-marketing-pro:four-core-documents.
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.
Draft a professional agency proposal or pitch document for a prospective client — executive summary, situation analysis, scope of services with a deliverables matrix, KPI targets with baselines and stretch goals, 2-3 pricing options, team bio structure, case-study placeholders, terms outline, and next steps, written from the agency's perspective. Triggers on "/digital-marketing-pro:client-proposal", "write a proposal for this prospect", "scope of work for a 6-month retainer", "respond to this RFP", "pitch deck outline with pricing tiers". Loads the agency's own brand profile (not the client's), plus custom templates and agency SOPs; industry benchmarks inform the KPI and pricing sections.
Generate a complete onboarding package for a new marketing client — kickoff meeting agenda, 20-30 question discovery questionnaire, stakeholder map with RACI matrix, platform-by-platform access checklist, 30-60-90 day milestone plan, communication cadence, escalation protocol, welcome email template, internal team brief, risk register, and a day-by-day first-week action plan. Triggers on "/digital-marketing-pro:client-onboarding", "we just signed a new client", "build a kickoff agenda and discovery questionnaire", "30-60-90 day plan for the new account", "what access do we need from the client". Reads the brand profile, guidelines, custom templates, and agency SOPs so the package matches house process.
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.
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.
Build a complete case-study creation blueprint — a Challenge-Solution-Results narrative framework, 15-20 client interview questions plus 10 internal-team questions, a data-visualization plan, format specifications (PDF, web page, slide deck, video script outline, social snippets, sales one-pager), a distribution strategy, a permission/approval checklist, and a draft executive summary. Plans the case study; it does not produce the finished designed asset. Triggers on "/digital-marketing-pro:case-study-plan", "turn this client win into a case study", "what should we ask the client in the interview", "plan a success story for sales enablement", "case study formats and distribution plan". Reads the brand profile, guidelines, custom templates, and agency SOPs.
Unified status dashboard for every tracked campaign across connected platforms — produces a summary table with health indicators, live spend and performance metrics, a 7-day execution history, pending approvals with age, KPI variance classification (on track / at risk / behind), flagged issues, and next scheduled actions. Reports only; it changes nothing on any platform. Triggers on "/digital-marketing-pro:campaign-status", "what campaigns are running right now", "any failed executions or stuck approvals", "status of the Q1-Launch campaign", "which campaigns are behind target". Reads the brand's campaign registry, execution log, and approval queue via campaign-tracker.py, execution-tracker.py, and approval-manager.py, plus live metrics from connected platform MCPs.
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.
Full campaign-lifecycle module — produces campaign briefs, budget allocations via three models (70/20/10, efficiency-ranked, funnel-weighted), channel-mix and media plans, UTM taxonomies with governance rules, launch checklists, ABM plans, and post-mortem reports. Plans and documents; it does not launch or edit live campaigns. Triggers on "/digital-marketing-pro:campaign-orchestrator", "build a media plan", "how should we split budget across channels", "set up UTM naming conventions", "run a post-mortem on the campaign". Reads the brand profile, guidelines, and campaign history via campaign-tracker.py; its reference docs are consumed by /digital-marketing-pro:campaign-plan rather than duplicated.
Inventory and score everything currently running for a brand across paid search, paid social, email, organic, SEO, AEO/GEO, CRM, and analytics — produces a dated audit document with a 4-tier triage (healthy / quick win / strategic gap / red flag), a quick-wins backlog, and a compliance posture section. Strictly read-only: it never pauses, edits, or launches anything. Triggers on "/digital-marketing-pro:campaign-audit", "what's currently running for this brand", "audit our existing campaigns", "we just inherited this account", "where is budget leaking". Requires a validated brand profile (run validate-profile first); missing connectors degrade gracefully into findings. Feeds /digital-marketing-pro:campaign-plan and pairs with /digital-marketing-pro:performance-check.
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.
Track advertising spend pacing in real time across connected ad platforms (Google Ads, Meta, LinkedIn, TikTok) — produces a budget dashboard with daily burn rates, end-of-period projections, overspend/underspend alerts, and dollar-specific reallocation recommendations backed by CPA/ROAS context. Monitors and recommends only; it never edits platform budgets. Triggers on "/digital-marketing-pro:budget-tracker", "are we overspending this month", "how is our ad budget pacing", "track spend across platforms", "will we blow through the budget cap". Reads budget targets from the brand profile, runs scripts/ad-budget-pacer.py, and saves snapshots for trend history; pairs with /digital-marketing-pro:budget-optimizer.
indranilbanerjee· 18d agoCommunity