Digital Marketing Pro — Claude Code & Cowork Plugin

The most comprehensive digital marketing plugin for Claude Code and Claude Cowork. v3.2 closes the v3.1 hook-removal gaps with /dm:check (explicit pre-publish gate replacing the global PreToolUse hook), /dm: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.

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v3.0 — The 12-Part Engagement Methodology

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.

The 12 Parts at a Glance

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

Key Architectural Concepts

• Two-Views Model — After Part 5, every engagement carries both v1 (the unbiased market view) and v2 (the client-validated view). Operating decisions reference v2; ideation and stress-testing reference both. v1 is never deleted.
• Stone vs Opinion — Every fact captured at intake is tagged with confidence level. Stone = client knows for certain. Opinion = client believes (becomes a research question, not ground truth).
• Decision Matrix — Maps client validation responses to which v1 documents need v2 re-runs. Prevents over- and under-re-running.
• Update-Back Rule — When live operations surface corrections after Part 7, the source documents get versioned (v2.1, v2.2 etc.) and the Living Project Instruction File propagates the change to all downstream skills.
• Living Project Instruction File — Single source of truth per engagement. All skills read it first. Auto-updated when source docs change.

Strategic Framework References (15 New Docs)

The methodology is supported by 15 reference documents in skills/context-engine/:

• Five Digital Markets — Search / Profile / Contextual / Marketplace / Utility taxonomy that determines channel selection
• Channel Families — 7 families covering 17 channels for Part 9 production
• In-Market vs Out-Market — 3-5% vs 95-97% audience split with budget allocation logic
• Multi-Dimensional Decision Framework — Weight + score + weighted total for any consequential decision
• Unit Economics Framework — CAC / LTV / LTV:CAC ≥ 3.0 / payback period
• Actionable Persona Format — 6-question format replacing biographical narratives
• B2B Decision-Making Unit — User / Influencer / Decision-maker / Gatekeeper roles
• Three-Scenario Forecasting — Conservative / Moderate / Aggressive for every projection
• 30 / 60 / 90-Day Framework — Foundation / Validation / Optimisation phasing
• Reporting Cadence — Daily / weekly / monthly / quarterly / annual scopes
• Fixed vs Variable Budget — Fixed monthly + Variable reserve mechanism
• Competitor 3-Question Output — what they do well / poorly / are NOT doing — enforced output for every competitor analysis
• India Market Context — DPDP Act, mobile-first, festive seasonality, WhatsApp, vernacular content, INR pricing benchmarks, tier-1/2/3 differentiation
• Growth Plan Template — 11-section flagship deliverable structure
• Yearly Planner Template — 12-month operational companion structure
• Monthly Report Template — 9-section structure with writing principles
• Engagement Flow Methodology — the master 12-Part flow document

Quick Start with the Methodology

# One-time per brand
/dm:brand-setup

# Per engagement
/dm:engagement start <brand-slug> <engagement-id>     # Initialises Part 1
/dm:engagement next                                    # Advance after part complete
/dm:engagement four-core                               # Produces Part 3 (61 steps)
/dm:engagement validate                                # Part 5 client validation
/dm:engagement re-run-decision                         # Part 6 v2 re-runs per Decision Matrix
/dm:engagement growth-plan                             # Part 8 flagship deliverable
/dm:engagement yearly-planner                          # Part 8 operational companion
/dm:engagement loop                                    # Part 12 continuous improvement
/dm:engagement status                                  # Check progress at any time

See skills/context-engine/engagement-flow-methodology.md for the full methodology specification.

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v3.2 — Closing the v3.1 Hook-Removal Gaps

v3.1 removed all four global hooks for multi-plugin coexistence. The fix was correct (the PreToolUse mcp_.* matcher was intercepting every MCP call from every installed plugin), but it left real gaps — most notably, the loss of automatic hallucination detection on every Write/Edit operation. v3.2 closes those gaps with explicit on-demand replacements, agent-embedded safety, and opt-in ambient capture — without bringing back the global-scoping problem.

The four compensations

Removed hook	v3.2 compensation
SessionStart (brand summary banner)	/dm:status — on-demand richer snapshot with engagements + insights + compliance + deps
`PreToolUse Write	Edit` (hallucination + brand check)
PreToolUse mcp_.* (MCP write gate)	Per-agent decision flows for marketing-side MCP writes; the cross-plugin gate stays removed (correct — it was over-broad)
SessionEnd (insight saving)	auto_save_insights: true opt-in brand flag + auto-save-insight.py helper called by agents at meaningful checkpoints

Quick examples

# Pre-publish quality gate (replaces the global PreToolUse hook)
/dm:check drafts/q2-blog.md                                      # quick eval (~2s)
/dm:check drafts/healthcare-ad.md --full --brand healthfirst    # full 6-dimension eval
/dm:check drafts/press-release.md --compliance --brand acme \
  --evidence facts.json --schema press_release                  # compliance-focused

# Status snapshot (replaces the global SessionStart banner)
/dm:status                              # full snapshot for active brand
/dm:status --quiet                      # one-line: DMP STATUS | brand | engagements: 2 | deps: full
/dm:status --json                       # machine-readable for scripting
/dm:status --section engagements        # single section

Opt in to ambient insight capture

Per brand. Add to ~/.claude-marketing/brands/{your-slug}/profile.json:

{
  "auto_save_insights": true
}

When enabled, marketing agents call scripts/auto-save-insight.py at meaningful checkpoints. When disabled (default), the helper is a clean no-op.

Re-enable hooks at your own settings level

If you want the v3.0 ambient hook experience back for your sessions only (not bundled into the plugin), copy the relevant block from hooks/hooks-reference.example.json into your user-level ~/.claude/settings.json or your project-level .claude/settings.local.json. Do NOT re-enable the PreToolUse mcp_.* matcher — it intercepts every MCP call from every plugin you have configured.

Full guide: docs/v3.2-opt-ins.md.

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What v2.7 Built (Still Available)

All v2.7 capabilities remain. v3.0 is purely additive at the methodology layer. Earlier feature history:

• v2.0 added a full execution layer: publish content, send emails, launch ads, schedule social, sync CRMs, manage persistent memory, deliver reports — with human-in-the-loop approval workflows. Multi-client agency operations with credential profiles, portfolio dashboards, team management.
• v2.1 added predictive intelligence, GEO monitoring, competitor monitoring, SEO execution, self-healing campaigns, creative intelligence, compound intelligence, synthetic audience testing, journey orchestration.
• v2.2 added a comprehensive evaluation/QA layer (hallucination detection, claim verification, output validation, composite scoring, quality regression tracking) and full multilingual support (4 translation MCP servers, automatic language routing, transcreation, cultural adaptation, multilingual SEO).
• v2.3 introduced HTTP-only MCP connectors for Cowork compatibility (14 HTTP connectors that work in both Cowork and Claude Code).
• v2.4 added connector discovery and onboarding (/dm:integrations, /dm:connect, /dm:help).
• v2.5 added 7 top commands visible in the Customize panel.
• v2.6 added 6 dedicated SEO sub-skills, expanded schema markup support (18 types with deprecation tracking), Google SEO quick reference, DataForSEO MCP integration.
• v2.7 addressed plugin best-practice audit: skill descriptions trimmed for discovery budget, agent maxTurns added, hook timeout wrappers, execution safety improvements.

What This Plugin Does

Digital Marketing Pro transforms Claude into a full-stack marketing intelligence system. It covers every marketing discipline, adapts to any business model, auto-applies compliance rules, and learns from your past campaigns.

16 Core Modules

Module	What It Covers
AEO/GEO Intelligence	AI visibility, answer engine optimization, citation optimization, entity consistency
Funnel Architect	Customer journey mapping, attribution modeling, funnel gap analysis
Campaign Orchestrator	Campaign planning, budget allocation, UTM tracking, post-mortems, ABM
Audience Intelligence	Buyer personas, Jobs-to-Be-Done, segmentation, psychographic profiling
Content Engine	SEO content, ad copy, emails, social, landing pages, calendars, brand voice, accessibility, multilingual
Digital PR & Authority	Media outreach, press releases, thought leadership, newsjacking, E-E-A-T
Analytics & Insights	KPI frameworks, reporting, anomaly detection, MMM, incrementality, dark social, privacy-first measurement
Paid Advertising	Google, Meta, LinkedIn, TikTok, programmatic, retail media networks
CRO	Landing page audits, A/B testing, form optimization, pricing psychology
Growth Engineering	PLG, referral systems, viral loops, launch strategy, retention, affiliates
Influencer & Creator	Discovery, briefs, FTC compliance engine, contracts, UGC, measurement
Reputation Management	Review strategy, 3-tier crisis communication, brand safety, recovery
Emerging Channels	Voice search, visual search, social commerce, community, podcast, video
Technical SEO	Core Web Vitals, crawlability, indexation, site architecture, redirects, JavaScript SEO, mobile-first
Local SEO	Google Business Profile, NAP consistency, citations, local pack, location pages, multi-location
Marketing Automation	Automation workflows, lead scoring, nurture sequences, marketing operations, MAP strategy

Key Differentiators

• 10 business models supported (B2B SaaS, eCommerce, Local, Agency, Creator, Enterprise, Non-Profit, Marketplace, DTC, B2B Services)
• 22 industry profiles with benchmarks and compliance rules
• 16 privacy law jurisdictions auto-applied (GDPR, CCPA, PIPL, DPDPA, and more)
• 25 specialist agents, including 5 execution agents, 2 predictive intelligence agents, and agents for competitor intelligence, compound intelligence, journey orchestration, quality assurance, and localization, that activate based on conversation context, call 68 Python scripts for scoring, query MCP servers for live data, enforce brand guidelines, and persist campaign learnings. The 4 most-used content-producer agents (content-creator, email-specialist, social-media-manager, pr-outreach) embed a mandatory hallucination check on their final output before delivery (v3.2+).
• Brand guidelines enforcement — import voice guides, restrictions, channel styles, messaging frameworks; automatically applied across all modules
• Deliverable templates and agency SOPs — custom output formats and workflow definitions
• 10 top-level commands + 149 skills (v3.0 added 6 methodology skills: engagement-workflow, four-core-documents, client-validation-document, growth-plan, yearly-planner, continuous-improvement-loop; v3.2 added 2 quality-and-status skills: check, status) + 141 atomic skills for direct access to all workflows — including execution, monitoring, predictive intelligence, GEO monitoring, competitor monitoring, SEO execution, creative intelligence, compound intelligence, journey orchestration, synthetic audience testing, evaluation/QA, multilingual support, connector discovery, and more
• 68 Python scripts for deterministic execution (scoring, analysis, generation, guidelines management, email testing, A/B testing, social optimization, technical SEO auditing, local SEO checking, ROI calculation, budget optimization, CLV analysis, revenue forecasting, content repurposing, review response drafting, link profile analysis, ad budget pacing, approval workflow, execution tracking, performance monitoring, CRM sync, credential management, team management, report generation, memory management, SEO execution, competitor tracking, GEO tracking, PDF generation, revenue simulation, churn prediction, macro signal tracking, creative fatigue prediction, intelligence graphing, journey engine, growth loop modeling, campaign health monitoring, narrative mapping, audience simulation, hallucination detection, claim verification, output validation, eval running, quality tracking, eval config management, prompt A/B testing, language routing, engagement state management (v3.0), brand status snapshot (v3.2), opt-in insight capture (v3.2))
• 14 HTTP connectors + 68 npx integrations for connecting your own marketing accounts AND executing actions (social publishing, email sending, CRM writes, ad campaign creation, SMS, vector databases, knowledge management, CRM platforms, PM/design tools, SEO/monitoring, marketing automation, translation services, and more). Run /dm:integrations to see your connector status
• Persistent brand memory that learns across sessions
• 5-layer memory architecture — session context → vector DB RAG (Pinecone/Qdrant) → temporal knowledge graphs (Graphiti) → universal agent memory (Supermemory) → knowledge base (Notion/Google Drive)
• Human-in-the-loop execution — every write action requires explicit approval with risk-level classification (low/medium/high/critical) and industry-specific compliance gates
• Agency operations — multi-client credential profiles, portfolio health dashboards, SOP library, team role management, white-labeled client reports, executive summaries
• Adaptive scoring that adjusts to your industry, business model, and goals
• Predictive intelligence — revenue simulation, churn prediction, market timing signals
• GEO monitoring — AI visibility tracking across ChatGPT, Perplexity, Gemini, Copilot
• Competitor monitoring — ongoing competitive scanning with change detection, share of voice, and alerts
• Self-healing campaigns — auto-correction within guardrails for campaign health
• Creative intelligence — fatigue prediction and content decay scanning
• Compound intelligence — cross-agent learning hub with confidence scoring
• Synthetic audience testing — simulated focus groups from CRM data
• Journey orchestration — cross-channel journey state machines and growth loop modeling

Installation

Connectors (MCP Integrations)

The plugin ships with 14 HTTP connectors that work in both Cowork and Claude Code — including Slack, Canva, Figma, HubSpot, Amplitude, Notion, Ahrefs, Similarweb, Klaviyo, Google Calendar, Gmail, Stripe, Asana, and Webflow. These appear in the Connectors panel and users connect what they need.

The plugin works fully WITHOUT any connectors — all 149 skills, 25 agents, frameworks, and knowledge files function immediately. Connectors are only needed for live data and execution on external platforms.

Claude Code users who want the full 68-server configuration (Google Ads, Meta Ads, analytics, social, and more via npx) can use the advanced setup:

cp .mcp.json.example .mcp.json

See CONNECTORS.md for the full connector reference and MCP Integration Guide for detailed setup.

Option A: Install from the marketplace (recommended)

/plugin marketplace add indranilbanerjee/neels-plugins
/plugin install digital-marketing-pro@neels-plugins

Option B: Direct from GitHub

claude plugins add github:indranilbanerjee/digital-marketing-pro

Option C: Add from a local directory

claude plugins add /path/to/digital-marketing-pro

Option C: Place in your plugins directory

Copy or clone the plugin directly into your Claude Code plugins folder:

~/.claude/plugins/digital-marketing-pro/

Option D: Install in Claude Cowork

1. Compress the digital-marketing-pro/ folder into a ZIP file
2. Open Cowork in Claude Desktop
3. Click Plugin in the left sidebar → + → Upload
4. Select the ZIP file

Or install from the Claude plugin marketplace if published. See the Claude Interfaces Guide for full details.

Updating to Latest Version

Plugins do NOT auto-update. When a new version is released, run:

claude plugin marketplace update neels-plugins
claude plugin update digital-marketing-pro@neels-plugins

If the version number hasn't changed but content was updated, force a reinstall:

claude plugin uninstall digital-marketing-pro@neels-plugins
claude plugin install digital-marketing-pro@neels-plugins

After updating, start a new conversation for changes to take effect.

First-Run Setup

On first use, the plugin will:

1. Create ~/.claude-marketing/ for persistent brand data
2. Check Python dependencies (knowledge-only mode by default — no Python needed)
3. Display brand context summary (or prompt to set up your first brand)

Python Dependencies (Optional)

The plugin works fully without any Python installation. All marketing knowledge, frameworks, agent capabilities, and slash commands work out of the box.

Knowledge-only mode (0 MB, no install) — Default All 16 modules, 25 agents, 149 skills, and 170+ reference knowledge files work with zero dependencies. (v3.0 + v3.2 additions: 23 methodology + framework reference docs in skills/context-engine/ plus the engagement workflow, /dm:check, and /dm:status surfaces.)

Lite mode (~15 MB) — Enables scoring scripts

pip install nltk textstat

Adds: brand voice scoring, content quality scoring, readability analysis.

Full mode (~50 MB) — Enables all scripts

pip install -r scripts/requirements.txt

Adds everything in lite mode plus: competitor scraping (beautifulsoup4, requests), QR code generation, and AI visibility API checking.

Quick Start

1. Set Up Your Brand

/dm:brand-setup

Interactive brand profiling — answers questions about your brand identity, voice, audience, channels, and goals. Choose quick mode (5 questions) or full mode (17 questions).

2. Import Your Guidelines (Optional)

/dm:import-guidelines

Import your brand's voice guide, restrictions, channel styles, or messaging framework. These are enforced automatically across all content. See the Brand Guidelines Guide.

3. Start Marketing

Just talk naturally. The plugin detects intent and activates the right modules:

• "Help me plan a Q2 campaign" → Campaign Orchestrator + Marketing Strategist
• "Write a blog post about..." → Content Engine + SEO Specialist
• "How does my brand appear in ChatGPT?" → AEO/GEO Intelligence + GEO Monitoring
• "Review my landing page" → CRO + Analytics Analyst
• "We have a PR crisis" → Crisis Communication + Brand Guardian
• "Predict next quarter's revenue" → Predictive Intelligence + Marketing Scientist
• "Monitor our competitors" → Competitor Intelligence + Competitor Monitoring
• "Test this message with a focus group" → Synthetic Audience Testing

See the Getting Started Guide for a full walkthrough with examples.

How It Works

Session Lifecycle

1. Session Start — Plugin automatically loads your brand context:

   • Checks Python dependencies (optional — plugin works without them)
   • Displays brand summary: name, industry, voice settings, channels, goals, compliance, competitors
   • Loads brand guidelines summary (rule counts, restrictions, templates, SOPs)
   • This context is available throughout the session — you do not need to re-explain your brand

2. During the Session — Ask for marketing help naturally:

   • Plugin matches your request to the right module(s) and agent(s)
   • Brand voice, compliance rules, industry benchmarks, and guidelines are auto-applied
   • Past campaign data and insights are checked for relevant context
   • Content is automatically checked for brand alignment and guideline compliance when written (PreToolUse hook)

3. Session End — Key insights auto-saved to your brand profile:

   • Marketing decisions and learnings persist across sessions
   • Plugin gets smarter about your brand over time

Brand Context Flow

Session Start
  → setup.py --summary
  → Rich brand context injected (voice, industry, compliance, goals)
  → Guidelines summary loaded (restrictions, channel styles, templates, SOPs)

User Request ("write me a LinkedIn post")
  → Content Engine module activated
  → Brand voice auto-applied (formality, authority, tone)
  → Brand guidelines enforced (restrictions checked, channel style applied)
  → Compliance rules checked for target markets
  → Platform specs loaded (character limits, best practices)
  → Content created on-brand

Session End
  → Insights saved to brand profile
  → Guideline violations logged for pattern analysis
  → Available in next session

Multi-Client Workflow (Agencies)

1. Create profiles per client: /dm:brand-setup
2. Switch clients: /dm:switch-brand or say "switch to [client name]"
3. All outputs instantly adapt to the active client's voice, compliance, and context
4. Each client's campaign data and insights are stored separately

See the Multi-Brand & Agency Guide for detailed workflows.

Documentation

Guide	Description
Getting Started	Installation, first brand setup, first marketing task — with worked examples
Brand Guidelines	Importing voice guides, restrictions, channel styles, templates, and agency SOPs
Multi-Brand & Agency Guide	Multi-brand corporations (P&G pattern) and agency multi-client workflows
Strategy & KPI Mapping	Business objectives → KPI frameworks → campaign strategy → measurement loop
Integrations Guide	MCP setup for GA4, HubSpot, Google Ads, Meta, and more — including multi-CRM patterns
Data & Insights	Data flow, adaptive scoring, cross-session learning, campaign memory
Competitor Intelligence	Setting up competitors, running analysis, responding to competitive moves
Historical Data	How past campaigns and insights inform future strategies
Cross-Channel Sync	Keeping strategy synchronized across email, social, ads, and more
Claude Interfaces	What works in Claude Code, Cowork, Desktop, and Claude.ai (with Cowork installation guide)
Architecture	Technical deep-dive for contributors and power users

Which Claude Interface?

	Claude Code	Claude Cowork	Claude Desktop (no Cowork)	Claude.ai Web
Full plugin support	Yes	Yes	Partial	No
Brand memory	Yes	Yes	No	No
MCP integrations	Yes	Yes	Yes	No
Document creation (Excel, PPT)	No	Yes	No	No
Recommended for	Terminal workflows	Visual desktop workflows	Quick content	One-off questions

See the Claude Interfaces Guide for details, including Cowork installation instructions and a comparison with Anthropic's official marketing plugin.

Commands

Top Commands (visible in Customize panel)

These 10 commands appear in the Commands section of the Customize sidebar, providing quick access to the most common marketing workflows. The original 7 from v2.5 plus /dm:engagement (v3.0), /dm:check (v3.2), and /dm:status (v3.2):

Command	What It Does
/brand-setup	Set up a new brand profile with voice, audience, competitors, and compliance
/campaign-plan	Generate a full multi-channel campaign plan with budget, timeline, and KPIs
/seo-audit	Comprehensive SEO audit — technical, on-page, content, E-E-A-T, links, AI visibility
/content-engine	Draft blog posts, ad copy, emails, social, landing pages, video scripts
/performance-report	Marketing performance report with trends, anomaly detection, and recommendations
/competitor-analysis	Multi-dimensional competitive analysis across content, SEO, ads, social, pricing
/email-sequence	Complete email sequences with subject lines, copy, timing, and segmentation

All Skill Commands

All commands use the /dm: prefix. If another plugin shares a command name, use the full form /digital-marketing-pro:command-name.

Command	What It Does
/dm:brand-setup	Create or update brand profile
/dm:campaign-plan	Generate campaign plan
/dm:content-brief	Create content brief
/dm:seo-audit	SEO audit
/dm:tech-seo-audit	Technical SEO audit (Core Web Vitals, crawlability, indexation, redirects, security)
/dm:local-seo-audit	Local SEO audit (GBP, NAP consistency, citations, local pack, reviews)
/dm:aeo-audit	AI visibility audit
/dm:attribution-model	Multi-touch attribution setup with model selection and credit distribution
/dm:case-study-plan	Structured case study creation with CSR framework and distribution strategy
/dm:client-onboarding	Post-sale onboarding workflow with kickoff agenda and access checklist
/dm:competitor-analysis	Competitor deep-dive
/dm:ad-creative	Generate ad copy variations
/dm:email-sequence	Design email sequence
/dm:content-calendar	Build content calendar
/dm:pr-pitch	Create media pitch
/dm:landing-page-audit	Score landing page
/dm:performance-report	Generate performance report
/dm:funnel-audit	Analyze customer funnel
/dm:launch-plan	Product launch playbook
/dm:audience-profile	Build buyer persona
/dm:influencer-brief	Create influencer campaign brief
/dm:crisis-response	Rapid crisis response plan
/dm:social-strategy	Social media strategy
/dm:import-guidelines	Import brand guidelines, restrictions, and channel styles
/dm:import-template	Import deliverable templates (reports, proposals, briefs)
/dm:import-sop	Import agency SOPs and workflow definitions
/dm:keyword-research	Guided keyword research with clustering and intent mapping
/dm:roi-calculator	Campaign ROI calculation with multi-touch attribution
/dm:ab-test-plan	A/B test planning with sample size and hypothesis framework
/dm:content-repurpose	Content repurposing strategy with derivative format matrix
/dm:creative-testing-framework	Systematic creative testing strategy with testing matrix and holdout controls
/dm:executive-dashboard	C-suite dashboard design with business-outcome metrics and alert thresholds
/dm:retargeting-strategy	Retargeting campaign architecture with audience segmentation
/dm:martech-audit	Marketing technology stack audit with gap analysis
/dm:media-plan	Holistic paid media planning with channel allocation and flight scheduling
/dm:budget-optimizer	Data-driven budget reallocation with diminishing returns modeling
/dm:qbr-plan	Quarterly Business Review preparation with performance retrospective
/dm:client-proposal	Agency client proposal with strategy, scope, and pricing
/dm:review-response	Brand-aligned review response drafting with tone templates
/dm:video-script	Video marketing script writing for YouTube, TikTok, Reels, and LinkedIn
/dm:webinar-plan	End-to-end webinar planning with promotion and nurture strategy
/dm:switch-brand	Switch active brand (multi-client)
/dm:publish-blog	Publish blog post to WordPress/Webflow with SEO, categories, scheduling
/dm:send-email-campaign	Send email campaign via SendGrid/Klaviyo/Customer.io/Brevo/Mailgun
/dm:launch-ad-campaign	Create paid ad campaign on Google Ads/Meta/LinkedIn/TikTok with budget safeguards
/dm:schedule-social	Schedule posts to Twitter/Instagram/LinkedIn/TikTok/YouTube/Pinterest
/dm:send-report	Generate and deliver performance report via Slack, email, or Sheets
/dm:crm-sync	Sync marketing contacts/deals to Salesforce/HubSpot/Zoho/Pipedrive
/dm:lead-import	Import leads from forms/CSV/manual entry into CRM with deduplication
/dm:pipeline-update	Update deal stages, values, and notes in CRM pipeline
/dm:segment-audience	Create/update audience segments in CRM or email platform
/dm:data-export	Export marketing data to BigQuery, Google Sheets, or Supabase
/dm:performance-check	Pull live metrics from all connected platforms, instant performance snapshot
/dm:campaign-status	Check status of all active campaigns across platforms
/dm:anomaly-scan	Detect anomalies — drops, spikes, overspend, deliverability issues
/dm:budget-tracker	Real-time budget tracking across all ad platforms with pacing analysis
/dm:save-knowledge	Save brand knowledge to vector DB for future RAG retrieval
/dm:search-knowledge	Semantic search across all stored brand knowledge
/dm:sync-memory	Batch sync session learnings to persistent memory layer
/dm:send-sms	Send SMS/WhatsApp marketing message via Twilio or Brevo
/dm:send-notification	Send team notification via Slack or Intercom
/dm:agency-dashboard	Portfolio-level view across all client brands
/dm:client-report	Generate white-labeled client-facing performance report
/dm:sop-library	Manage agency SOPs — create, assign, track compliance
/dm:credential-switch	Switch active brand credential profile for multi-client management
/dm:team-assign	Assign marketing tasks to team members by role and capacity
/dm:region-config	Configure regional/market settings — timezone, language, compliance
/dm:exec-summary	Generate C-suite-ready executive summary with portfolio ROI
/dm:seo-implement	Execute SEO changes — meta tags, schema markup, redirects via CMS MCP
/dm:rank-monitor	Track keyword rankings over time with trend analysis and alerts
/dm:serp-tracker	Monitor SERP feature ownership (featured snippets, PAA, local pack)
/dm:redirect-manager	Plan, validate, and deploy redirect chains with loop detection
/dm:competitor-monitor	Start ongoing competitive scanning with change detection and baselines
/dm:share-of-voice	Calculate share of voice across organic, paid, and social channels
/dm:competitor-alerts	Configure real-time alerts for competitor changes (pricing, ads, content)
/dm:geo-monitor	Track brand visibility across AI platforms (ChatGPT, Perplexity, Gemini, Copilot)
/dm:entity-audit	Audit brand entity consistency across knowledge graphs and AI models
/dm:narrative-tracker	Monitor how AI platforms describe your brand vs competitors
/dm:pdf-report	Generate PDF performance reports with charts and executive summary
/dm:live-dashboard	Create real-time dashboard with live metric connections
/dm:attribution-report	Multi-touch attribution analysis with model comparison
/dm:cohort-analysis	Customer cohort analysis with retention curves and LTV trends
/dm:simulate	Run revenue simulation with scenario modeling and Monte Carlo analysis
/dm:what-if	What-if analysis for budget, channel, and strategy changes
/dm:churn-risk	Predict customer churn risk with intervention recommendations
/dm:creative-health	Assess creative fatigue across campaigns with refresh recommendations
/dm:content-decay-scan	Scan content library for decay — traffic drops, outdated info, broken links
/dm:learn	Save cross-agent learnings to compound intelligence graph
/dm:recall	Retrieve past learnings with confidence scoring and context
/dm:autopilot-status	View self-healing campaign status — auto-corrections, guardrail triggers
/dm:journey-design	Design cross-channel customer journey with state machines and triggers
/dm:loop-detect	Identify and model growth loops (viral, content, paid, sales)
/dm:dark-funnel	Analyze dark funnel touchpoints — communities, DMs, word-of-mouth signals
/dm:data-import	Import external data from CSV, APIs, or databases into the plugin
/dm:add-integration	Add custom MCP integration for unsupported platforms
/dm:narrative-landscape	Map competitive narrative positioning across the market
/dm:counter-narrative	Generate counter-narrative strategy against competitor positioning
/dm:focus-group	Run synthetic focus group simulation from CRM persona data
/dm:message-test	A/B test messaging variants against synthetic audience segments
/dm:market-weather	Macro market signal dashboard — economic, seasonal, trend indicators
/dm:intelligence-report	Cross-domain intelligence briefing combining all monitoring signals
/dm:pricing-test	Price sensitivity testing with Van Westendorp and Gabor-Granger models

Predictive Intelligence

Revenue simulation, churn prediction, and market timing powered by the marketing-scientist and market-intelligence agents. Run Monte Carlo simulations, model what-if scenarios, track macro signals, and predict customer churn with intervention recommendations.

• /dm:simulate — revenue simulation with scenario modeling
• /dm:what-if — what-if analysis for budget and strategy changes
• /dm:churn-risk — churn prediction with intervention playbooks
• /dm:market-weather — macro market signal monitoring
• /dm:intelligence-report — cross-domain intelligence briefing
• /dm:pricing-test — price sensitivity testing

GEO Monitoring

Track your brand's visibility across AI platforms — ChatGPT, Perplexity, Gemini, and Copilot. Monitor how AI models describe your brand, audit entity consistency, and track narrative changes over time.

• /dm:geo-monitor — AI platform visibility tracking
• /dm:entity-audit — entity consistency across knowledge graphs
• /dm:narrative-tracker — AI narrative monitoring

Competitor Monitoring

Ongoing competitive scanning with change detection, share of voice tracking, and real-time alerts. The competitor-intelligence agent maintains baselines, detects changes in competitor pricing, ads, content, and positioning.

• /dm:competitor-monitor — continuous competitive scanning
• /dm:share-of-voice — SOV across organic, paid, and social
• /dm:competitor-alerts — real-time change alerts

SEO Execution

Move beyond audits to execution. Deploy meta tag updates, schema markup, and redirects directly through CMS MCP integrations. Track rankings and SERP feature ownership over time.

• /dm:seo-implement — execute SEO changes via CMS
• /dm:rank-monitor — keyword ranking tracking
• /dm:serp-tracker — SERP feature monitoring
• /dm:redirect-manager — redirect deployment and validation

Self-Healing Campaigns

Campaigns that auto-correct within defined guardrails. The campaign-health-monitor script detects budget pacing issues, performance drops, and deliverability problems, then applies corrections automatically with full audit trails.

• /dm:autopilot-status — view auto-corrections and guardrail triggers

Creative Intelligence

Predict creative fatigue before it impacts performance. Scan content libraries for decay — traffic drops, outdated information, and broken links. Proactive refresh recommendations.

• /dm:creative-health — creative fatigue assessment
• /dm:content-decay-scan — content library health scan

Compound Intelligence

Cross-agent learning hub where insights from one agent improve all others. The intelligence-curator agent maintains a confidence-scored intelligence graph that grows smarter with every interaction.

• /dm:learn — save learnings to intelligence graph
• /dm:recall — retrieve past learnings with confidence scoring

Synthetic Audience Testing

Simulate focus groups and message tests using synthetic audiences built from your CRM data and persona profiles. Test messaging, positioning, and creative before spending budget.

• /dm:focus-group — synthetic focus group simulation
• /dm:message-test — message A/B testing against synthetic segments

Journey Orchestration

Design and manage cross-channel customer journeys with state machines, triggers, and growth loop modeling. The journey-orchestrator agent manages journey state across email, social, ads, and web. Detect growth loops and analyze dark funnel touchpoints.

• /dm:journey-design — cross-channel journey design
• /dm:loop-detect — growth loop identification and modeling
• /dm:dark-funnel — dark funnel analysis

Evaluation & Quality Assurance

• Hallucination detection — Pattern-based detection of fabricated statistics, fake URLs, unsubstantiated claims, and made-up entities
• Claim verification — Cross-check marketing claims against evidence data with fuzzy matching
• Output validation — Validate content structure against 8 built-in schemas (blog, email, ad, social, landing page, press release, brief, plan)
• Composite eval scoring — 6-dimension evaluation with A+ through F grading and configurable weights
• Quality regression tracking — 30-day rolling baselines with automatic regression detection
• Prompt A/B testing — Compare quality scores across content variations
• Eval-before-publish gates — Automatic quality checks before content enters approval workflow
• 7 eval commands: /dm:eval-content, /dm:verify-claims, /dm:validate-output, /dm:quality-report, /dm:eval-config, /dm:prompt-test, /dm:eval-suite

Multilingual Support

• 4 translation MCP servers — DeepL (European/CJK), Sarvam AI (22 Indic languages), Google Cloud Translation (100+ languages), Lara Translate (marketing-context)
• Automatic language routing — Detects source language and routes to optimal translation service
• Translation quality scoring — Length ratio, formatting preservation, key term consistency, placeholder integrity
• Transcreation framework — Cultural recreation for emotional content (CTAs, slogans, headlines) with brief templates
• Cultural adaptation — Hofstede dimensions applied to marketing: social proof, urgency, trust signals per market
• Multilingual SEO — hreflang auditing, international sitemaps, Baidu/Yandex/Naver optimization
• RTL support — Arabic, Hebrew, Farsi, Urdu layout guidance
• Indic language expertise — Hindi, Tamil, Telugu, Bengali + 5 more via Sarvam AI with transliteration support
• 6 multilingual commands: /dm:translate-content, /dm:localize-campaign, /dm:language-audit, /dm:language-config, /dm:multilingual-score, /dm:hreflang-check

Persistent Memory

The plugin stores brand data at ~/.claude-marketing/:

~/.claude-marketing/
├── brands/
│   ├── your-brand/
│   │   ├── profile.json          # Brand identity, voice, goals
│   │   ├── audiences.json        # Personas and segments
│   │   ├── competitors.json      # Competitor profiles
│   │   ├── campaigns/            # Past campaign data (indexed for fast lookup)
│   │   ├── performance/          # Performance snapshots over time
│   │   ├── insights.json         # Marketing learnings (last 200)
│   │   ├── guidelines/           # Brand guidelines, restrictions, channel styles
│   │   ├── templates/            # Custom deliverable templates
│   │   ├── content-library/      # Content inventory
│   │   └── voice-samples/        # Brand voice examples
│   └── _active-brand.json        # Currently active brand
├── sops/                         # Agency-level SOPs (apply across all brands)
├── templates/                    # Global templates
├── industry-data/                # Cached benchmarks
└── settings.json                 # Plugin preferences

Multi-client support: Agencies can create separate brand profiles and switch between them instantly. See the Multi-Brand Guide.

Architecture

digital-marketing-pro/
├── .claude-plugin/plugin.json    # Plugin manifest (v2.7.0)
├── .mcp.json                     # 14 HTTP connectors (auto-loaded)
├── .mcp.json.example             # 68 npx servers (opt-in for Claude Code)
├── CONNECTORS.md                 # Connector reference with skill links
├── commands/                     # 10 top commands (visible in Customize panel; v2.5 original 7 + v3.0 /dm:engagement + v3.2 /dm:check + /dm:status)
├── skills/                       # 149 skill directories (141 atomic + 6 v3.0 methodology + 2 v3.2 quality-and-status, plus context-engine references)
├── agents/                       # 25 specialist agents (4 content-producer agents now embed mandatory hallucination check, v3.2+)
├── hooks/hooks.json              # No active hooks as of v3.1 (multi-plugin hygiene); reference catalog at hooks/hooks-reference.example.json
├── scripts/                      # 68 Python execution scripts (65 v2.x + engagement-state.py v3.0 + dm-status.py + auto-save-insight.py v3.2) + requirements.txt
├── docs/                         # 13 documentation guides
├── README.md
├── CHANGELOG.md
├── CONTRIBUTING.md
└── LICENSE

See Architecture Reference for the full technical deep-dive.

Skill Platform Features

Feature	Scope	Purpose
argument-hint	61 skills	Autocomplete hints in the Skills UI (e.g., [URL], [brand-name --full])
disable-model-invocation	18 execution skills	Prevents Claude from auto-triggering publish, send, launch, import, and export skills — user must invoke explicitly
evals/evals.json	3 key skills	Structured test cases with prompts, expected outputs, and quantitative/qualitative assertions

Execution safety: Skills that write to external platforms (publish-blog, send-email-campaign, launch-ad-campaign, schedule-social, send-report, send-sms, send-notification, data-export, data-import, crm-sync, lead-import, pipeline-update, segment-audience, seo-implement, launch-plan, publish-blog, live-dashboard) have disable-model-invocation: true. Claude cannot trigger these autonomously — you must type the /dm:skill-name command. This works alongside the MCP write approval hook for defense-in-depth.

Evals: The campaign-plan, seo-audit, and content-engine skills include evals/evals.json files with reproducible test cases. Each eval has a realistic prompt, expected output description, and assertions (quantitative checks like "budget totals $50,000" and qualitative checks like "uses ABM tactics for enterprise targeting").

Agents (25)

Agent	Role
marketing-strategist	Overall strategy, campaign planning, budget allocation
content-creator	Content writing across all formats and channels
seo-specialist	SEO audits, keyword strategy, technical SEO, local SEO
analytics-analyst	Performance analysis, reporting, anomaly detection
brand-guardian	Brand voice enforcement, guideline compliance
media-buyer	Paid advertising strategy, bid optimization, budget pacing
growth-engineer	Growth loops, viral mechanics, retention, PLG
influencer-manager	Influencer discovery, briefs, campaign management
competitive-intel	Competitor analysis and market positioning
pr-outreach	Media relations, press releases, thought leadership
email-specialist	Email deliverability, automation, lifecycle sequences
cro-specialist	Conversion optimization, A/B testing, form optimization
social-media-manager	Platform-native social strategy, community management
execution-coordinator	Bridges planning and execution with approval workflow
performance-monitor-agent	Live data monitoring, anomaly detection, campaign health
crm-manager	Cross-CRM operations (Salesforce/HubSpot/Zoho/Pipedrive)
memory-manager	Persistent brand knowledge via RAG and knowledge graphs
agency-operations	Multi-client portfolio management, SOPs, credential profiles
competitor-intelligence	Ongoing competitive scanning with change detection
marketing-scientist	Revenue simulation, churn prediction, statistical modeling
market-intelligence	Macro signal tracking, market timing, economic indicators
intelligence-curator	Cross-agent learning hub with confidence scoring
journey-orchestrator	Cross-channel journey state machines, growth loops
quality-assurance	Multi-dimensional content evaluation, hallucination detection, quality tracking
localization-specialist	Translation routing, transcreation, cultural adaptation, multilingual SEO

Scripts (65)

Script	Purpose
setup.py	Brand profiling and session initialization
adaptive-scorer.py	Context-aware adaptive scoring
ad-budget-pacer.py	Ad budget pacing analysis
ai-visibility-checker.py	AI visibility and answer engine checking
approval-manager.py	Approval lifecycle management
audience-simulator.py	Synthetic audience simulation
brand-voice-scorer.py	Brand voice alignment scoring
budget-optimizer.py	Budget reallocation optimization
calendar-validator.py	Content calendar validation
campaign-health-monitor.py	Self-healing campaign monitoring
campaign-tracker.py	Campaign memory and insights persistence
churn-predictor.py	Customer churn prediction
claim-verifier.py	Marketing claim cross-verification
clv-calculator.py	Customer lifetime value calculation
competitor-scraper.py	Competitor website analysis
competitor-tracker.py	Competitive baselines, diff, SOV, pricing, ads
connector-status.py	Connector discovery and status reporting
content-repurposer.py	Content repurposing strategy
content-scorer.py	Content quality scoring
creative-fatigue-predictor.py	Creative fatigue prediction
credential-manager.py	Per-brand credential profiles
crm-sync.py	CRM data preparation and sync
email-preview.py	Email template preview and rendering
email-subject-tester.py	Email subject line scoring
eval-config-manager.py	Per-brand quality thresholds and weights
eval-runner.py	Master evaluation suite orchestrator
execution-tracker.py	Execution audit trail
form-analyzer.py	Form conversion optimization
geo-tracker.py	AI visibility auditing across ChatGPT, Perplexity, Gemini, Copilot
growth-loop-modeler.py	Growth loop identification and modeling
guidelines-manager.py	Brand guidelines CRUD operations
hallucination-detector.py	Pattern-based hallucination detection
hashtag-analyzer.py	Hashtag analysis per platform
headline-analyzer.py	Headline scoring and optimization
intelligence-graph.py	Cross-agent intelligence graph
journey-engine.py	Cross-channel journey state machines
keyword-clusterer.py	Keyword grouping and topic clustering
language-router.py	Translation service routing and language detection
link-profile-analyzer.py	Link profile health analysis
local-seo-checker.py	Local SEO NAP consistency checking
macro-signal-tracker.py	Macro economic and market signal tracking
memory-manager.py	Vector DB/RAG interface and sync
narrative-mapper.py	Competitive narrative mapping
output-validator.py	Content structure validation against schemas
pdf-generator.py	PDF report generation and scheduling
performance-monitor.py	Metrics aggregation and anomaly detection
posting-time-analyzer.py	Social posting time optimization
prompt-ab-tester.py	Prompt variation quality comparison
quality-tracker.py	Eval score persistence and regression tracking
readability-analyzer.py	Readability analysis (Flesch-Kincaid, etc.)
report-generator.py	Formatted report generation
revenue-forecaster.py	Revenue forecasting
revenue-simulator.py	Monte Carlo revenue simulation
review-response-drafter.py	Review response drafting
roi-calculator.py	Campaign ROI calculation
sample-size-calculator.py	A/B test sample size calculation
schema-generator.py	Structured data and schema markup generation
send-time-optimizer.py	Email send time optimization
seo-executor.py	SEO change tracking and execution via CMS
significance-tester.py	Statistical significance testing
social-post-formatter.py	Platform-specific social formatting
spam-score-checker.py	Email spam risk checking
team-manager.py	Team roles, permissions, capacity
tech-seo-auditor.py	Technical SEO auditing
utm-generator.py	UTM parameter generation and QR code creation

MCP Integrations (Optional)

The plugin works fully without any external API connections. For users who want to pull live data from their own marketing tools, the .mcp.json configuration file includes pre-configured MCP server definitions for 67 marketing platforms.

Analytics & Data

Integration	What It Enables
Google Analytics 4	Traffic, conversions, audience data for performance reports
Google Search Console	Ranking data, queries, CTR for SEO audits
Mixpanel	Product analytics, user behavior, funnel analysis
Amplitude	Product analytics, cohort analysis, experimentation
BigQuery	Data warehouse queries, cross-platform analysis
Google Looker Studio	Dashboard data, report embedding, cross-platform visualization

Advertising

Integration	What It Enables
Google Ads	Campaign performance, keyword data, bid optimization
Meta Business Suite	Facebook/Instagram ads, audience insights
LinkedIn Marketing	Ad performance, company page analytics
TikTok Ads	Campaign performance, creative insights, audience analytics

SEO & Monitoring

Integration	What It Enables
SEMrush	Keyword research, competitor analysis, backlink data
Ahrefs	Backlink profiles, keyword explorer, content gaps
Moz	Domain authority, keyword tracking, site crawl data
Google PageSpeed	Core Web Vitals, performance scoring, optimization suggestions
Brandwatch	Social listening, sentiment analysis, brand monitoring

CRM

Integration	What It Enables
HubSpot CRM	Contacts, deals, email performance, pipeline data
Salesforce	CRM pipeline, opportunity data, lead management
Zoho CRM	Contacts, deals, automation, lead management
Pipedrive	Deal pipeline, activity tracking, sales analytics
Odoo	CRM, sales, marketing, inventory, all-in-one ERP
Freshsales	AI lead scoring, deal management, email tracking
Monday CRM	Visual pipelines, automations, team collaboration
Microsoft Dynamics 365	Enterprise CRM, sales insights, customer service
Copper	Google Workspace-native CRM, relationship tracking
Close	Inside sales CRM, calling, email sequences
Keap	Small business CRM, automation, payments

Email & Messaging

Integration	What It Enables
Mailchimp	Email campaign analytics, list management
SendGrid	Transactional and marketing email sending
Klaviyo	eCommerce email/SMS automation, segmentation
Customer.io	Behavioral email/push automation
Brevo	Email, SMS, WhatsApp campaigns
Mailgun	Email API, deliverability monitoring

Social Publishing

Integration	What It Enables
Twitter/X	Post scheduling, engagement tracking
Instagram	Content publishing, story management
LinkedIn Publishing	Article and post publishing
TikTok Content	Video publishing, trend data
YouTube	Video publishing, analytics
Pinterest	Pin creation, board management

CMS & eCommerce

Integration	What It Enables
WordPress	Content publishing, post management, SEO metadata
Webflow	CMS content publishing, design-aware publishing
Shopify	eCommerce orders, products, customers, sales analytics

Marketing Automation

Integration	What It Enables
ActiveCampaign	Email automation, lead scoring, CRM contacts, workflows
Marketo	Enterprise marketing automation, lead management, campaign orchestration
Pardot	B2B marketing automation, lead nurturing, ROI reporting

Memory & Knowledge

Integration	What It Enables
Pinecone	Vector database for RAG-powered brand knowledge
Qdrant	Vector search for semantic knowledge retrieval
Supermemory	Universal agent memory across sessions
Graphiti	Temporal knowledge graphs for campaign learning
Notion	Knowledge base content management
Google Drive	Document storage and retrieval

Communication & Revenue

Integration	What It Enables
Slack	Send marketing reports and campaign alerts to channels
Twilio	SMS/WhatsApp messaging
Intercom	Customer messaging, team notifications
Stripe	Revenue data, conversion tracking, LTV calculations

Project Management & Design

Integration	What It Enables
Jira	Issue tracking, sprint management, marketing project workflows
Asana	Task management, project timelines, team coordination
ClickUp	All-in-one project management, docs, goals
Canva	Design creation, template management, brand kit
Figma	Design collaboration, prototyping, asset export

Testing & Database

Integration	What It Enables
Linear	Issue tracking, project management
Optimizely	A/B testing, experimentation
Supabase	Database operations, real-time data

Translation Services

Integration	What It Enables
DeepL	European and CJK language translation with formality control and glossaries
Sarvam AI	22 Indic language translation with transliteration support
Google Cloud Translation	100+ language translation with batch processing and language detection
Lara Translate	Marketing-context translation with translation memories

See the Integrations Guide for setup instructions, required environment variables, and multi-CRM patterns for agencies.

Changelog

See CHANGELOG.md for version history.

Neelverse Marketing Suite

Digital Marketing Pro is part of the Neelverse Marketing Suite — three plugins that work together for end-to-end marketing:

Plugin	What It Does	Install
Digital Marketing Pro (this plugin)	Strategy, SEO, paid ads, analytics, email, social, PR — 149 skills, 25 agents, 12-Part engagement methodology, /dm:check pre-publish gate, /dm:status snapshot	claude plugin install digital-marketing-pro@neels-plugins
ContentForge	Publication-ready content via 10-phase pipeline — research, draft, fact-check, SEO, humanize	claude plugin install contentforge@neels-plugins
SocialForge	Social media calendar automation with AI image + video generation (Vertex AI + Kling v3.0)	claude plugin install socialforge@neels-plugins

Use together: Plan campaigns in DM Pro, produce articles with ContentForge, create social media visuals with SocialForge. All share the same brand profiles and marketplace.

claude plugin marketplace add indranilbanerjee/neels-plugins
claude plugin install digital-marketing-pro@neels-plugins
claude plugin install contentforge@neels-plugins
claude plugin install socialforge@neels-plugins

License

MIT

Contributing

Contributions welcome. See CONTRIBUTING.md for guidelines on skill structure, agent definitions, script conventions, and how to submit changes.

Author

Indranil Banerjee

GitHub: @indranilbanerjee

Plugin marketplace: indranilbanerjee/neels-plugins

If this plugin is useful in your work, a star on the repository is the easiest way to support it. Issues, feature requests, and pull requests are all welcome — start with CONTRIBUTING.md.