By MikeAthie
End-to-end digital marketing engagement methodology for Claude Code. v3.2 closes the v3.1 hook-removal gaps with: /digital-marketing-pro:check (explicit pre-publish gate replacing the global PreToolUse hook), /digital-marketing-pro:status (richer on-demand brand snapshot replacing the global SessionStart banner), embedded mandatory hallucination check inside content-creator/email-specialist/social-media-manager/pr-outreach agents, opt-in auto_save_insights brand flag for ambient learning capture, and a documented hook re-enable pattern at the user's own settings level. v3.2.1 fixes the plugin manifest format so install works (repository as string, $schema removed). v3.0 introduced the 12-Part Strategy Flow — the canonical sequential engagement workflow producing the Four Core Documents (61 explicit steps), the Two-Views Model (v1 unbiased + v2 client-validated), the Decision Matrix for selective re-runs, the Update-Back Rule for in-life corrections, and the Living Project Instruction File. Includes 23 strategic-framework reference docs. Builds on v2.7's 25 specialist agents, 14 HTTP MCP connectors, 16 industry profiles, and 16 privacy-law jurisdictions; the v3.x line ships 149 skills (141 atomic + 6 v3.0 methodology + 2 v3.2 quality-and-status), 68 Python scripts, and 10 top-level commands.
Set up a new brand profile with voice, audience, competitors, guidelines, and compliance rules
Generate a full multi-channel campaign plan with objectives, audience, channel mix, budget, timeline, and KPIs
Run the unified pre-publish quality gate on marketing content (hallucination + brand voice + structure + claims). Use before publishing any marketing copy.
Multi-dimensional competitive analysis — content, SEO, paid ads, social, AI visibility, pricing, and positioning
Draft blog posts, ad copy, emails, social media, landing pages, and video scripts with brand voice and SEO
Use when the task requires marketing science — causal inference, Marketing Mix Modeling, incrementality testing, revenue simulation, statistical rigor, saturation curve analysis, or churn prediction.
Invoke when the user needs to manage multiple client brands, view portfolio-level dashboards, generate client reports, manage SOPs, switch credential profiles, assign team tasks, configure regions, or generate executive summaries. Triggers on requests involving multi-client management, agency workflows, client onboarding, or portfolio oversight.
Invoke when the user needs help with marketing measurement, KPI definition, dashboard design, attribution modeling, performance analysis, anomaly detection, competitive benchmarking, or translating data into marketing decisions. Triggers on requests involving metrics, reporting, analytics setup, or data interpretation.
Invoke when marketing content needs quality control review — brand voice consistency checks, regulatory compliance verification (GDPR, CAN-SPAM, CCPA, HIPAA, FTC, industry-specific), accessibility auditing (WCAG 2.1), inclusive language review, or brand safety assessment. Automatically invoked as a final review step before any content is published or delivered.
Invoke when the user needs competitor analysis — content strategy teardowns, SEO gap analysis, paid ad analysis from ad libraries, social media benchmarking, AI visibility comparisons, pricing and positioning research, or market landscape mapping. Triggers on requests mentioning competitors, competitive gaps, market analysis, or benchmarking.
Design A/B and multivariate tests. Use when: sample size calculation, testing hypothesis, CRO experimentation.
Generate platform-specific ad copy. Use when: Google RSA, Meta, LinkedIn, TikTok ad variations with quality scoring.
Add MCP server integrations. Use when: connecting a custom tool, API, or service to the plugin via .mcp.json.
Audit AI search visibility. Use when: checking brand presence in ChatGPT, Perplexity, AI Overviews, Gemini.
Optimize AI engine visibility. Use when: AEO/GEO strategy, citation optimization, entity consistency across AI platforms.
Uses power tools
Uses Bash, Write, or Edit tools
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The most comprehensive digital marketing plugin for Claude Code and Claude Cowork. v3.2 closes the v3.1 hook-removal gaps with /digital-marketing-pro:check (explicit pre-publish gate replacing the global PreToolUse hook), /digital-marketing-pro:status (richer on-demand brand snapshot replacing the global SessionStart banner), embedded mandatory hallucination check inside content-creator/email-specialist/social-media-manager/pr-outreach agents, opt-in auto_save_insights brand flag for ambient learning capture, and a documented hook re-enable pattern at the user's own settings level. v3.0 introduced the 12-Part Engagement Methodology — a sequential workflow that produces ~50–60 canonical files per engagement: Stone-vs-Opinion intake, unbiased external research, the Four Core Documents (61 explicit steps), Client Validation Document with Decision Matrix for v2 re-runs, the Update-Back Rule for in-life corrections, the Living Project Instruction File, the Growth Plan + Yearly Planner client deliverables, channel strategy fan-out, execution artefacts, AI creative instructions, and a continuous improvement loop that feeds back into product/offering decisions. Built on top of v2.7's foundation: 25 specialist agents, 149 skills, 68 Python scripts, 14 HTTP MCP connectors, 16 industry profiles, 16 privacy-law jurisdictions, and full execution-layer support.
Most marketing tools generate isolated outputs — a campaign brief here, an email there, a content piece somewhere else. There is no canonical sequence, no shared state, no enforced structure. The result: inconsistent depth, missed dependencies, and outputs that do not compound across engagements.
v3.0 introduces a methodology-driven engagement workflow that fixes this. Every brand engagement now runs through the same 12 parts in sequence, producing the same set of files in the same order, with explicit dependency rules between them.
| Part | Name | Output |
|---|---|---|
| 1 | Client Inputs | Stone vs Opinion intake (what client knows for certain vs what they believe) |
| 2 | External Research | Unbiased market research (no client docs used) |
| 3 | Four Core Documents | 61 explicit steps across Business & SBU Analysis (18), Segmentation Framework (15), Brand Positioning & Communications (19), DMFlow (9) |
| 4 | Competitive + Customer + Market | 4 unbiased analysis documents (4.1–4.4) |
| 5 | Client Validation Document | The one true stop. Client accepts/rejects/edits each finding |
| 6 | Selective v2 Re-runs | Subset of Part 3 + Part 4 docs re-run per the Decision Matrix |
| 7 | Preparation Documents | Internal operating layer (campaign architecture, KPI tree, content pillars, asset inventory, approval chains) |
| 8 | Growth Plan + Yearly Planner | The flagship 11-section client-facing strategy + 12-month operational calendar |
| 9 | Channel Strategy Fan-out | Up to 17 channel docs grouped into 7 families (Search & Campaign, Paid platforms, Organic & Influencer, Marketplace & CRM, Content/ATL/BTL/PR, Web + Measurement) |
| 10 | Execution Artefacts | Communication outputs (ad copy, post copy, headlines, CTAs) |
| 11 | AI Creative Instructions | Visual asset briefs |
| 12 | Continuous Improvement Loop | Quarterly briefs + ad-hoc briefs feeding market + operating signals back into product/offering decisions |
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