Digital Marketing Pro

Your agency just signed a 50-brand client. The previous agency left no playbook. Three brands are bleeding budget, two have stale positioning, one is launching in a regulated jurisdiction next month. Where do you start?

Run /digital-marketing-pro:engagement against each brand. Same 12-Part Strategy Flow, same Four Core Documents, same 61-step structure — auditable across the entire portfolio in ~60 minutes per brand on Claude Opus 4.7. No more inconsistent depth between brands. No more "what did the last agency do?" mysteries. No more compliance gaps in regulated jurisdictions.

Open-source AI marketing plugin — 158 skills, 25 specialist agents, EU AI Act Article 50 ready, Cowork team-persistent. Built for marketing agencies, in-house teams running 50–200 brands, and consultancies. Installs on Claude Code (CLI + IDE), Anthropic Cowork, OpenAI Codex, Cursor 2.5+, GitHub Copilot CLI, Google Antigravity 2.0, Hermes Agent, and OpenClaw + 35+ Agent Skills platforms. Created by Indranil Banerjee · LinkedIn · X.

🆕 Just shipped — v3.13.1 (June 9, 2026): Test infrastructure hardening (114 → 119 tests) · new Troubleshooting section covers all 8 platforms · 5-minute non-developer install path for marketers · release-consistency tests catch cross-manifest drift automatically. Read what's new → · Full changelog →

# Install — one line
/plugin marketplace add indranilbanerjee/neels-plugins
/plugin install digital-marketing-pro@neels-plugins

If this saves you time, give it a star ⭐ — it's the single thing that helps other marketers find it.

Who this is for

How does this compare?

Get started in 5 minutes (non-developer path)

Are you a marketer, agency owner, or content lead who doesn't live in a terminal? Here's the fastest path:

1. Open [Anthropic Cowork](https://claude.com/cowork) in your browser (no installation, no terminal, no command line). Sign up free if you don't have an account.
2. Click your profile menu → Settings → Plugins → Add Marketplace. Paste: indranilbanerjee/neels-plugins
3. Find "Digital Marketing Pro" in the list → click Install.
4. Type in chat: "Let's set up a brand for ACME Corp" — Claude will walk you through brand setup (voice, audience, jurisdiction, competitors).
5. Then ask: "Run a full marketing engagement for ACME" — and watch ~50–60 strategy documents get produced over the next ~60 minutes.

That's it. You never touched a command line. Your team Drive will hold the outputs. Re-open Cowork tomorrow and pick up where you left off.

If you're more technical, see Quick start below for the Claude Code CLI install (one terminal command).

For team usage (agencies running 50+ brands), also run /digital-marketing-pro:cowork-setup once so brand state persists across Cowork sessions via your team's Google Drive.

Why Digital Marketing Pro

Most AI marketing tools generate isolated outputs — a campaign brief here, an email there. No canonical sequence, no shared state, no enforced structure. Result: inconsistent depth, missed dependencies, outputs that don't compound.

DM Pro runs every brand through the same 12 parts, producing the same files in the same order, with explicit dependency rules between them. That's the whole product. Everything else — the 158 skills, 25 agents, May–June 2026 compliance updates, Cowork persistence — exists to make that 12-Part Flow ship cleanly for real agencies on real client work.

What you get in 60 minutes

Run /digital-marketing-pro:engagement and the plugin produces a full brand-strategy engagement in roughly 60 minutes on Opus 4.7 — ~50–60 canonical files organized by part:

• Part 1 — Stone-vs-Opinion intake (what the client knows for certain vs what they believe)
• Part 2 — External market research (unbiased, no client docs)
• Part 3 — Four Core Documents — 61 explicit steps across Business & SBU Analysis, Segmentation Framework, Brand Positioning & Communications, DMFlow
• Part 4 — Competitive + Customer + Market analysis (4 unbiased docs)
• Part 5 — Client Validation Document — the one true stop
• Part 6 — Selective v2 re-runs per Decision Matrix
• Part 7 — Preparation documents (campaign architecture, KPI tree, content pillars, approval chains)
• Part 8 — Growth Plan + 12-month Yearly Planner (the flagship deliverable)
• Part 9 — Channel-strategy fan-out (up to 17 channel docs in 7 families)
• Part 10 — Execution artefacts (ad copy, post copy, headlines, CTAs)
• Part 11 — AI creative briefs (with Nano Banana Pro / Veo 3.1 / Gemini Omni model guidance and C2PA + deepfake-disclosure clauses)
• Part 12 — Continuous improvement loop

Cost: roughly $15–40 in Claude API spend for a full 12-part engagement using Opus 4.7. The plugin itself is MIT-licensed and free.

Quick start

1. Install on Claude Code (canonical)

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

/plugin commands work in Claude Code (CLI + IDE at claude.com/code) and Anthropic Cowork. In the standard Claude chat app (browser claude.ai OR the installed Claude Desktop app) plugins still install and run, but management is via the Plugins UI button at the bottom of the chat — not via /plugin slash commands. See the Updating section for the recovery procedure if you accidentally try a slash command in the chat UI.

2. Turn on auto-update (recommended)

Third-party marketplaces have auto-update OFF by default in Claude Code — no banner tells you when v3.8 ships. Fix it once:

Open /plugin → Marketplaces tab → find neels-plugins → toggle Enable auto-update. Done — future releases pull at session start; /reload-plugins applies mid-session without restart.

3. Set up your first brand

/digital-marketing-pro:brand-setup

Interactive brand profiling — voice, audience, channels, industry, target jurisdictions, competitors, goals. Quick mode (5 questions) or full mode (17 questions). Optional: /digital-marketing-pro:import-guidelines to bulk-load existing brand guidelines, SOPs, or templates.

4. Run a full engagement, or jump straight to a workflow

/digital-marketing-pro:engagement           # full 12-Part Strategy Flow (~60 min)

Or jump straight to one workflow:

/digital-marketing-pro:campaign-plan        # multi-channel campaign with budget, timeline, KPIs
/digital-marketing-pro:seo-audit            # technical + content + E-E-A-T + AI visibility audit
/digital-marketing-pro:content-engine       # blog / ad / email / social / landing / video drafts
/digital-marketing-pro:competitor-analysis  # multi-dimensional deep-dive
/digital-marketing-pro:performance-report   # trends + anomalies + recommendations
/digital-marketing-pro:email-sequence       # subject lines, copy, timing, segmentation
/digital-marketing-pro:check                # pre-publish quality gate (hallucination + voice + claims)
/digital-marketing-pro:status               # unified brand snapshot
/digital-marketing-pro:resume               # resume an interrupted long workflow (engagement / campaign-plan / etc.)
/digital-marketing-pro:output-folder        # open the user-visible ~/Documents/DigitalMarketingPro/ folder

5. Find your output

~/.claude-marketing/<brand-slug>/
├── brand-profile.json           ← brand voice, audience, guardrails, jurisdictions
├── engagements/
│   └── <engagement-slug>/
│       ├── 01-client-inputs/    ← Part 1 Stone-vs-Opinion intake
│       ├── 02-research/         ← Part 2 external market research
│       ├── 03-four-core/        ← Part 3 Four Core Documents (61 steps)
│       ├── 04-analysis/         ← Part 4 competitive / customer / market
│       ├── 05-validation/       ← Part 5 Client Validation Document
│       ├── 06-v2-reruns/        ← Part 6 selective v2 re-runs
│       ├── 07-prep/             ← Part 7 internal operating layer
│       ├── 08-growth-plan/      ← Part 8 Growth Plan + Yearly Planner
│       ├── 09-channels/         ← Part 9 channel-strategy fan-out
│       ├── 10-execution/        ← Part 10 ad copy / post copy / headlines / CTAs
│       ├── 11-creative-briefs/  ← Part 11 AI creative instructions
│       ├── 12-improvement/      ← Part 12 continuous improvement loop
│       └── PROJECT_INSTRUCTIONS.md  ← Living Project Instruction File
└── insights/                    ← cross-engagement learnings

See the Multi-Brand & Agency Guide for the multi-client switching workflow.

Real workflows you'd actually run

🆕 New-client onboarding (agency, week 1)

/digital-marketing-pro:brand-setup "ACME Corp"        # interactive: voice, audience, channels, jurisdiction
/digital-marketing-pro:competitor-analysis            # multi-dimensional deep-dive on top 5 competitors
/digital-marketing-pro:engagement                     # full 12-Part Strategy Flow (~60 min on Opus 4.7)
/digital-marketing-pro:check  engagements/.../03-four-core/*.md   # pre-publish gate before client review

Output: ~50–60 canonical files. Cost: $15–40 in API spend. Time saved: ~3 weeks of senior-strategist labor.

📊 Quarterly business review (in-house, last week of quarter)

/digital-marketing-pro:performance-report   --period=Q2-2026
/digital-marketing-pro:attribution-report   --period=Q2-2026 --model=data-driven
/digital-marketing-pro:competitor-monitor   --since=2026-04-01    # 87 signals captured
/digital-marketing-pro:continuous-improvement-loop --quarter=Q2-2026

Output: stakeholder-ready Q2 review with anomalies, attribution shift, competitor moves, and next-quarter recommendations.

🎯 SEO sprint (any audience, 1 week)

/digital-marketing-pro:seo-plan                       # 4-pillar scorecard; weakest pillar drives the theme
/digital-marketing-pro:keyword-cluster  seeds.csv     # SERP-overlap clustering into pillar+spokes
/digital-marketing-pro:backlink-gap  acme.com competitor1.com competitor2.com
/digital-marketing-pro:content-engine                 # draft the top 3 pillar pages
/digital-marketing-pro:check  drafts/*.md             # hallucination + brand voice + claims gate
/digital-marketing-pro:seo-drift  baseline.csv current.csv     # 30 days later, what moved

🤖 Marketing automation flow (builders)

/digital-marketing-pro:doctor                         # which actions are live vs need connector setup
/digital-marketing-pro:execute-action --action diagnostic --execute            # GA4 + GSC pull
/digital-marketing-pro:execute-action --action audit-current --execute         # workflow state check
/digital-marketing-pro:execute-action --action enable-automation --confirm     # Klaviyo flow activate

Output: real API calls fired against your stack with audit logging at ~/.claude-marketing/{brand}/executions/. Combine with n8n / Make / Zapier for human-in-the-loop approval gates.

🛡 Pre-publish compliance gate (every campaign)

/digital-marketing-pro:check  campaign.md --full      # hallucination + voice + claims + jurisdictions
/digital-marketing-pro:c2pa-metadata  hero.png        # sign image with provenance for EU Article 50

🎨 AI creative brief with EU disclosure (every AI-generated asset)

/digital-marketing-pro:ai-creative-instructions   --model=nano-banana-pro
/digital-marketing-pro:influencer-creator         # FTC + EU deepfake clauses baked in

Supported surfaces (v3.13.1)

Why this works: Agent Skills became an open standard in December 2025 (donated to the Agentic AI Foundation; adopted by 41+ agent products by June 2026 — see "Works on 40+ agent harnesses" below). All 158 SKILL.md files in DM Pro are platform-portable as written. The sibling manifests are thin platform-specific wrappers around the same skills/ directory — no skill duplication, no maintenance fork. The pattern is borrowed from Google's reference repo gemini-cli-extensions/data-agent-kit-starter-pack.

Minimum Claude Code version: 2.1.157 (declared via requiredMinimumVersion in plugin.json — landed in Claude Code v2.1.163, June 4 2026). Older Claude Code builds will be told to upgrade rather than load DMP with missing features.

Works on 40+ agent harnesses (via the Agent Skills open standard)

Beyond the 8 surfaces above where we ship a native manifest, DMP's 158 SKILL.md files work out-of-the-box on any agent that adopted the Agent Skills open standard (Anthropic-published Dec 2025, 41+ adopters as of June 2026). On each platform below, point it at our skills/ folder and all 158 marketing skills are immediately discoverable. No platform-specific manifest needed.

Tier 1 — verified-compatible platforms with explicit Agent Skills install paths:

Quick test on any Tier-1 platform:

# 1. Clone the skills folder (or point your platform at the GitHub raw URL)
git clone --depth=1 https://github.com/indranilbanerjee/digital-marketing-pro.git
# 2. Point your agent's skills-config at ./digital-marketing-pro/skills
# 3. Try: "Run a competitor analysis on stripe.com"
# Your agent picks /digital-marketing-pro:competitor-analysis automatically.

Why we don't ship per-platform manifests for these: the Agent Skills standard says agents discover by walking a directory tree for SKILL.md files — no manifest required. Shipping 35 extra wrapper manifests would create maintenance overhead with zero added value.

If you run into a platform-specific install snag, file a GitHub issue — we'll add platform-specific docs as users report patterns.

The 12-Part Engagement Methodology

Key architectural concepts:

• Two-Views Model — Every engagement carries v1 (unbiased market view) and v2 (client-validated view) after Part 5. Operating decisions reference v2; ideation references both. v1 is never deleted.
• Stone vs Opinion — Every fact captured at intake is tagged with confidence. 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 — Live operations surface corrections → source documents get versioned (v2.1, v2.2 …) → 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.

15+ strategic-framework reference documents in skills/context-engine/ support the methodology (Five Digital Markets, Channel Families, In-Market vs Out-Market, Multi-Dimensional Decision Framework, Unit Economics, Actionable Persona Format, B2B Decision-Making Unit, Three-Scenario Forecasting, 30/60/90-Day Framework, Reporting Cadence, Fixed vs Variable Budget, Competitor 3-Question Output, India Market Context, and more).

What's new

DM Pro is updated against the actual current marketing ecosystem state — June 2026 platform refresh, Google I/O 2026, the active broad core algorithm update, EU AI Act draft implementing guidelines, Meta platform expansions, and the latest AI image/video model landscape. No "trained on 2024 data" surprises in your client outputs.

v3.13.0 — Multi-harness expansion: native Hermes + OpenClaw + 40 Agent Skills platforms (June 9) Verified-real native manifests for two more agent harnesses, plus documented compatibility with 35 additional platforms via the Agent Skills open standard. Every claim verified against primary sources (the Hermes plugin docs at hermes-agent.nousresearch.com, the OpenClaw manifest spec at docs.openclaw.ai, the Agent Skills client showcase at agentskills.io).

• Hermes Agent (Nous Research) — native plugin via plugin.yaml + __init__.py at repo root. The Python adapter walks our skills/ directory at register-time and exposes all 158 marketing skills to Hermes via ctx.register_skill(). Defensive coding throughout — no Hermes runtime dependencies; uses stdlib only; degrades gracefully if the Hermes API surface differs from spec. Tested against Hermes Desktop v0.15.2 (public preview June 2 2026). Install: hermes plugins install indranilbanerjee/digital-marketing-pro.
• OpenClaw (formerly Clawdbot / Moltbot) — native manifest via openclaw.plugin.json at repo root. Points OpenClaw at ./skills for direct discovery. OpenClaw also auto-detects our existing .claude-plugin/plugin.json as a Claude-compatible bundle, so the native manifest is for first-class discoverability + ClawHub marketplace eligibility. Install: openclaw plugins install git:github.com/indranilbanerjee/digital-marketing-pro.
• 40+ Agent Skills platforms documented — Goose (Block) · OpenHands · OpenCode · Junie (JetBrains) · Gemini CLI · Roo Code · Kiro · Amp · Letta · Mux (Coder) · Factory · Workshop · Tabnine · Mistral Vibe · Emdash · Superconductor · Ona · VT Code · Qodo · Piebald · Autohand Code CLI · pi · Command Code · TRAE (ByteDance) · Firebender · bub · fast-agent · nanobot (HKUDS) · Vita · Snowflake Cortex Code · Databricks Genie Code · Laravel Boost · Spring AI · Agentman · Google AI Edge Gallery. All read SKILL.md files from a directory tree — point any of them at our skills/ folder and 158 marketing skills are immediately discoverable.
• 70-test stdlib suite (up from 49) — 21 new tests cover the Hermes adapter (plugin.yaml schema validation, __init__.py import smoke test, register(ctx) against mock context with all 158 skills, graceful degradation when ctx surface differs from spec) and the OpenClaw manifest (id + configSchema required, skills field points at ./skills, no hooks, no unexpected fields). Run with python tests/run_all.py.
• Zero impact on existing platforms — plugin.yaml, __init__.py, and openclaw.plugin.json are at the repo root but Claude Code only reads .claude-plugin/plugin.json, Cowork only reads the same path, Codex only reads .codex-plugin/, etc. Each platform reads its own manifest path and ignores the others — same pattern that's been working since v3.8.0 (May 2026). __init__.py is never executed by Claude Code (it doesn't auto-execute Python files). MCP auto-connects, hooks, skill descriptions — none change.

Skill count: 158 unchanged. Test count: 49 → 70. Native platforms: 6 → 8. Documented Agent Skills coverage: 6 → 41+.

v3.12.0 — Cowork persistence, fallback models, model-freshness, tests (June 8) Research-grounded hardening pass. Verified GitHub issue #51398 — ${CLAUDE_PLUGIN_DATA} is NOT persistent across Anthropic Cowork sessions, contrary to the docs. Solution shipped:

• New `/digital-marketing-pro:cowork-setup` skill + command. Detects the Cowork sandbox, verifies a Drive MCP, creates the canonical Drive folder layout (<root>/_brands/, _runs/, _plans/), and persists the routing config so brand profiles survive across sessions. Mirrors the ContentForge cf-cowork-setup pattern that's been battle-tested with agency users. Includes multi-team isolation via per-team folder names.
• `fallbackModel` ready out of the box. settings.json.example ships with a 3-model resilience chain (Sonnet 4.7 → Sonnet 4.6 → Haiku 4.5) using the fallbackModel setting from Claude Code v2.1.152 (May 27 2026). When the primary model is overloaded or a non-retryable API error fires, Claude Code transparently swaps to the next model.
• `requiredMinimumVersion: 2.1.157` declared. Users on older Claude Code builds get a clear upgrade message instead of silent feature gaps. Landed in Claude Code v2.1.163 (June 4 2026).
• Model-registry freshness check in `/digital-marketing-pro:doctor`. Wires resolve_model.registry_age_days() into the doctor output. Severity bands: ok (<60 days), warn (60-119), urgent (>=120). When stale, the doctor prints the exact refresh_models.py invocation. Directly addresses "what if a new model drops between releases."
• Cowork+Drive routing status in `/digital-marketing-pro:doctor`. Reports urgent when Cowork is detected but cowork-setup hasn't run, so users see the brand-state-vanishes-at-session-end risk before it bites.
• `disable-model-invocation: true` on 5 true side-effect commands (execute-action, cowork-setup, resume, check, output-folder). Removes their descriptions from the model's listing — saves the per-session description budget and prevents Claude from auto-running them on a hunch.
• Fixed 3 "Read all" eager-load anti-patterns in growth-plan, client-validation-document, continuous-improvement-loop. Replaced with grep-first + targeted-Read patterns that respect the per-skill 5K-token auto-compaction budget.
• Added Context efficiency callouts to 3 more top-heaviest skills (seo-plan, content-engine, analytics-insights) — now 16 of the top-16 heaviest skills have explicit context-efficiency guidance.
• CI line-count guard (scripts/skill-line-check.py) keeps every SKILL.md under the documented 500-line guideline. Current state: heaviest is four-core-documents at 368 lines, all 158 skills under threshold.
• Test suite (stdlib unittest, 49 tests) covering resolve_model.py, drive-sync-state.py, plugin-metadata.py, skill-line-check.py, connector_resolver.py. Drive-sync tests run against a tempdir HOME so they never touch the real ~/.claude-marketing/. Run with python tests/run_all.py.

Skill count: 157 → 158 (cowork-setup added). 192/192 skills still pass Codex [a-z0-9-]+ regex.

v3.10.0 — June 2026 platform refresh (June 4) Six discrete updates triggered by real platform changes April–early June 2026, every claim verified against primary sources:

• New skill `/digital-marketing-pro:gsc-ai-performance` for the Google Search Console AI Performance Report rolled out 3 June 2026 (UK first, combined AI Overviews + AI Mode impressions/pages/countries/devices/dates, no click data, new in-Search-Console opt-out toggle). New scripts/gsc-ai-performance.py reads exported CSV; API path returns "not yet supported by Google" with a recheck date stamp.
• New reference doc skills/context-engine/eu-code-of-practice.md for the EU Code of Practice on AI-generated content (page dated 22 May 2026, voluntary, WG1 providers + WG2 deployers, final code targeted May–June 2026, AI Act Article 50 applicable 2 August 2026).
• `aeo-geo` + `aeo-audit` updated with Google's official position — no llms.txt needed, no AI-specific schema needed, standard Search eligibility = AI Features eligibility (AI Optimization Guide updated 15 May 2026). Plus Google-Extended directive, AI Overview → AI Mode follow-up flow, Personal Intelligence to ~200 countries / 98 languages, AI Information Agents for AI Pro/Ultra summer 2026.
• `c2pa-metadata` — C2PA Content Credentials 2.3 (released 9 Feb 2026: live video, plain text, OGG Vorbis, large AVI, EXIF) + C2PA Spec 2.4 c2pa.ai-disclosure assertion (April 2026) for Article 50 deployer compliance.
• `paid-advertising` + `google-ads.md` — Google Ads API v24 (22 April 2026) breaking changes: videos+logo_images mandatory in DemandGenVideoResponsiveAdInfo + VideoResponsiveAdInfo, Campaign.video_brand_safety_suitability moved to Customer level, CallAd/CallAdInfo removed. v23.1 added text_guidelines.term_exclusions + messaging_restrictions for AI-generated PMax/Search assets.
• `analytics-insights` + `attribution-report` — GA4 added AI Assistant default channel group on 13 May 2026 (Medium=ai-assistant for ChatGPT/Gemini/Claude referral traffic).

Skill count: 153 → 154. 191/191 skills still pass Codex [a-z0-9-]+ regex.

v3.9.0 — Distribution & context-efficiency polish (May 27) Trimmed install-UI descriptions to ~150 chars across all 5 platform manifests + 4 marketplaces (was 600–2000 chars). Rewrote READMEs pain-first. Added platform-skill GitHub topics (cursor-plugin, copilot-cli-plugin, gemini-cli-extension, google-antigravity) for cross-platform discoverability. Inserted context-efficiency callouts in the 10 heaviest skills (grep-before-read, ${CLAUDE_PLUGIN_DATA} directory-list-before-open, offset+limit on partial reads).

v3.8.0 — Real native manifests for 5 surfaces (May 27) Ships verified-real manifests for OpenAI Codex (.codex-plugin/plugin.json per the published OpenAI schema), Google Antigravity 2.0 (gemini-extension.json at repo root per Google's gemini-cli-extensions/data-agent-kit-starter-pack reference), Cursor 2.5+ (.cursor-plugin/plugin.json per the verified Cursor JSON Schema), and GitHub Copilot CLI (.github/plugin/plugin.json; Copilot also recognizes .claude-plugin/plugin.json as documented fallback). Adds AGENTS.md at root (auto-loaded by Codex + Antigravity + Copilot CLI + Cursor). All 157 skills share via the Agent Skills open standard — no duplication.

v3.7.13 — Honest positioning (May 26) Removed the v3.6 / v3.7 era invented manifests for OpenAI Codex (.codex-plugin/), Cursor (.cursor-plugin/), GitHub Copilot CLI, and Google Antigravity 2.0 (.antigravity/). Research confirmed those manifests did not match the platforms' actual install specs (Antigravity uses gemini-extension.json at repo root; Codex schema we hand-rolled was invented). Supported surfaces are now accurately advertised as Claude Code + Cowork only. Multi-platform support is on the roadmap — research saved at memory/.

v3.5.0 — May 2026 content modernisation (May 24) — six discrete updates:

1. Google AI Mode added as a 6th first-class AEO/GEO surface (default conversational search since Google I/O on 19 May 2026, ~1B MAUs, Gemini 3.5 Flash backbone). AI Mode vs AI Overviews citations diverge 40–60% on the same query — audit both. scripts/geo-tracker.py PLATFORMS list now includes ai-mode.
2. May 2026 broad core algorithm update triage guidance — wait for rollout + 7–14 days settling before drawing conclusions; segment GSC data pre/in/post; Core Updates reweight existing signals, don't introduce new ones.
3. EU AI Act Article 50 draft implementing guidelines (8 May 2026; consultation closes 3 June; final guidelines July; enforcement 2 August 2026) — six-row clarification table covering "substantial AI manipulation", "matters of public interest", C2PA as presumption-of-compliance, deepfake visible disclosure, editorial-responsibility carve-out conditions, plus a five-point action list for brands with EU exposure.
4. Meta platform updates — Advantage+ Leads (global availability), Threads ads (global rollout, image-only), brand-safety inventory filters (Expanded/Moderate/Limited tiers with explicit reach cost).
5. Gemini Omni + Nano Banana Pro + Veo 3.1 added to AI creative-brief skills with consistent C2PA-by-default and EU Article 50 disclosure clauses; influencer briefs ship with three explicit AI-tool clauses (permitted use, required platform disclosures, EU deepfake clause).
6. Claude Code v2.1.149+ `/usage` per-model breakdown integrated into /digital-marketing-pro:agency-dashboard for brand-attributable AI cost tracking.

See CHANGELOG.md for the full release history.

How the SEO skills chain together

Most SEO work uses 3-5 skills in sequence rather than one mega-skill. The plugin is designed so that each skill produces numbered intermediate files (01-...md, 02-...md, …, PLAN.md) under ${CLAUDE_PLUGIN_DATA}/{brand}/seo/{workflow}/{date}/ — downstream skills read those numbered files, not the endpoint, so you can re-run any single step without redoing the whole chain.

Agency onboarding workflow (week 1 of a new client engagement):

1. /digital-marketing-pro:brand-setup
2. /digital-marketing-pro:competitor-analysis        ← picks the right competitors for everything downstream
3. Run all in parallel:
   /digital-marketing-pro:tech-seo-audit             ← baseline technical health
   /digital-marketing-pro:aeo-audit                  ← baseline AI visibility
   /digital-marketing-pro:backlink-gap               ← link prospects (needs competitors from step 2)
   /digital-marketing-pro:gsc-ai-performance         ← GSC AI Performance Report (3 Jun 2026)
4. /digital-marketing-pro:keyword-cluster            ← pillar+spokes architecture from aeo-audit content gaps
5. /digital-marketing-pro:seo-plan                   ← DISPATCHER — reads all of the above, scores 4 pillars,
                                                       the weakest pillar drives the lead theme of Q1's roadmap

Quarterly review workflow:

1. /digital-marketing-pro:gsc-ai-performance         ← fresh GSC AI export
2. /digital-marketing-pro:seo-drift                  ← compare this quarter vs last (auto-classifies gainers,
                                                       losers, reshuffles, new keys, lost keys)
3. Branch by finding:
   - High decline → /digital-marketing-pro:seo-audit + /digital-marketing-pro:content-decay-scan
   - High reshuffle → /digital-marketing-pro:aeo-geo (intent realignment)
   - High growth → /digital-marketing-pro:content-engine (amplification briefs)
4. /digital-marketing-pro:seo-plan                   ← re-run dispatcher with fresh inputs;
                                                       lead theme may shift to a different pillar

Content production workflow:

1. /digital-marketing-pro:keyword-cluster            ← from your seed list
2. /digital-marketing-pro:content-brief              ← per pillar from the cluster plan
3. /digital-marketing-pro:content-engine             ← drafts with brand voice + fact-check + humanize + SEO checklist
4. /digital-marketing-pro:check                      ← pre-publish gate (hallucination + brand voice + structure)
5. /digital-marketing-pro:publish-blog               ← push to CMS
6. /digital-marketing-pro:c2pa-metadata              ← if EU markets are targeted and AI images accompany

Backlink campaign workflow:

1. /digital-marketing-pro:competitor-analysis
2. /digital-marketing-pro:backlink-gap               ← gap-vs-competitors with link-prospect priority scoring
3. /digital-marketing-pro:digital-pr                 ← consumes the prospect shortlist + outreach templates
4. /digital-marketing-pro:pr-pitch                   ← drafts individual pitches per prospect

Each skill has a quality scorecard that must pass before its PLAN.md is declared ready, and every heavy skill carries a Tips & caveats section with the common pitfalls. The seo-plan dispatcher uses Confirm-Then-Dispatch — it never silently re-runs expensive specialists, always asking explicitly with cost estimate before fanning out.

Architecture — what's actually in the box

25 specialist agents

Marketing Strategist · Brand Guardian · Content Creator · Email Specialist · Social Media Manager · PR Outreach · SEO Specialist · CRO Specialist · Analytics Analyst · Marketing Scientist · Competitor Intelligence · Market Intelligence · Influencer Manager · CRM Manager · Growth Engineer · Journey Orchestrator · Agency Operations · Performance Monitor · Quality Assurance · Memory Manager · Execution Coordinator · Intelligence Curator · Localization Specialist · Media Buyer · Competitive Intel

Each agent has scoped responsibilities, explicit input/output contracts, and reads the Living Project Instruction File before acting.

158 skills

Skills are invoked by description match through the Skill tool, addressable as /digital-marketing-pro:<skill-name> from chat. Coverage: brand setup, content production (blog / ad / email / social / landing / video / PR / case study), SEO / AEO / GEO audits (6 platforms incl. Google AI Mode), competitor monitoring, campaign planning, channel-specific strategies, attribution, churn risk, lifecycle journeys, intelligence reports, eval framework, knowledge management, multi-brand operations, regional configuration, C2PA content provenance, Cowork+Drive team persistence.

18 top-level commands

Plus 140 additional skills addressable via /digital-marketing-pro:<skill-name> — :competitor-monitor, :churn-risk, :autopilot-status, :agency-dashboard, :aeo-audit, :geo-monitor, :c2pa-metadata, :client-onboarding, :journey-design … see /digital-marketing-pro:help after install for the full list, or browse skills/ in the repo.

84 Python scripts (optional)

Plugin works fully without Python — all marketing knowledge, frameworks, agent capabilities, and skills work out of the box via the 167 reference knowledge files.

14 HTTP MCP connectors

Notion · Slack · Canva · Figma · HubSpot · Amplitude · Ahrefs · SimilarWeb · Klaviyo · Google Calendar · Gmail · Stripe · Asana · Webflow

All HTTP, all Cowork-compatible. For services without first-party HTTP MCPs (Google Sheets, Drive, Salesforce, etc.), see .mcp.json.connectors-reference for Pipedream / Composio / Zapier / Make.com aggregator paths.

For the full ~68-server stdio configuration (Google Ads, Meta Ads, GA4, GSC, Mixpanel, Marketo, Brevo, etc. via npx, Claude Code only — not Cowork-compatible): cp .mcp.json.example .mcp.json. See CONNECTORS.md and Integrations Guide.

Resumable workflows + visible output folder (v3.7.7+)

Two user-team complaints from the v3.7.5 cycle drove this release: "dm pro is taking too long to process" (the 60-minute engagement that breaks midway loses 30+ minutes of work on restart) and the general "where did my 50 deliverable files save?" confusion (everything was landing under the Windows-hidden ~/.claude-marketing/ dotfolder).

Fix 1 — Resumable workflows. Every long-running DMP workflow now writes per-part checkpoints to disk so an interrupted session can resume from the next un-checkpointed part instead of restarting from Part 1. Covered workflows: engagement (12-Part Strategy Flow), campaign-plan, content-engine, seo-audit, competitor-analysis, campaign-audit (v3.7.5), launch-campaign (v3.7.5), plus a custom slot for any other long flow. Resume with:

/digital-marketing-pro:resume                              # auto-pick latest in-progress run
/digital-marketing-pro:resume engagement                   # filter to a workflow
/digital-marketing-pro:resume engagement <run-id>          # pick a specific run

Fix 2 — Visible output folder. Every artifact a workflow produces is now copied to TWO locations: the internal tracking copy under ~/.claude-marketing/{brand}/output/{workflow}/... (system-of-record), and a user-visible published copy under ~/Documents/DigitalMarketingPro/{brand}/{workflow}/{YYYY-MM}/{filename} (visible in Windows Explorer / macOS Finder by default). Override the visible root with DIGITAL_MARKETING_PRO_PUBLISH_DIR=/path (e.g. a Dropbox share for the team). Reveal the folder any time with:

/digital-marketing-pro:output-folder                       # opens ~/Documents/DigitalMarketingPro/{brand}/
/digital-marketing-pro:output-folder <brand> <workflow>    # drill down

Implementation: scripts/checkpoint-manager.py (per-step storage + atomic writes, stdlib only) + scripts/output-publisher.py (dual-copy publish + where + open subcommands). Mirrors the ContentForge v3.12.3 / v3.12.4 patterns. Verified end-to-end with _shared/dmp_engagement_simulation.py — 5 scenarios (clean 12-part run / interrupt-resume / 3 parallel workflows / quality-gate fail / all 8 workflows accepted) all pass in ~6 seconds.

Connector-aware action resolver (v3.7.10+)

The campaign-audit and launch-campaign skills depend on 14 actions that map to real marketing APIs (Google Ads, Meta Marketing, LinkedIn, TikTok, HubSpot, Salesforce, Klaviyo, Mailchimp, Customer.io, Gmail, Cision, Muckrack, Slack, Google Calendar, Ahrefs, Similarweb, SEMrush, Google Search Console). v3.7.5–v3.7.7 shipped these actions as honest stubs that always returned status: stub_implementation regardless of which connectors the user had. v3.7.10 introduces a resolver that probes the live state and resolves each action to one of three modes per call:

Check what's live in your environment any time:

/digital-marketing-pro:doctor                              # full readiness table
/digital-marketing-pro:doctor --summary                    # one-line counts
/digital-marketing-pro:doctor --action inventory --channel google_ads  # drill in

Test coverage: _shared/dmp_action_test_harness.py exercises all 14 actions across 27 scenarios (unconfigured + configured + local-execution variants) — all pass.

Implementation: scripts/_connector_registry.py (catalog of 33 connectors, 11 categories, is_connector_configured() probe) + scripts/connector_resolver.py (ACTION_SPECS map + per-action manifest builders + local executors) + scripts/action-doctor.py (the doctor command's underlying script).

v3.7.11 — actions can actually fire HTTP requests from Python

The v3.7.10 resolver returned a manifest of "what would be sent." v3.7.11 adds scripts/connector_executor.py (stdlib urllib.request, no third-party deps) that takes that manifest and actually executes the request against the real API. Public CLI: /digital-marketing-pro:execute-action.

Executes end-to-end from Python (8 connectors, verified vendor docs):

Requires the MCP path (25 OAuth-only connectors): Google Ads, Meta Marketing, LinkedIn Marketing, LinkedIn Publishing, TikTok Ads, Twitter/X, Gmail, Google Calendar, Google Analytics, Google Search Console, Meta Graph, Salesforce, Pipedrive, Zoho CRM, Buffer, Hootsuite, Cision, Muckrack, Amplitude, Similarweb, SEMrush, Moz, Intercom, Canva, Figma. For all of these, the resolver still returns manifest_ready so you can see the exact HTTP shape Claude's MCP tool will send — Python just can't execute the OAuth flow itself.

Safety gates: read ops auto-execute with --execute; write ops require both --execute --confirm; missing env vars block with setup_hint_credential; unresolved {VAR} placeholders block before the request fires. Every fired call logs to ~/.claude-marketing/{brand}/executions/.

Test coverage: _shared/dmp_executor_test_harness.py runs 17 tests against a stdlib http.server mock — verifies actual HTTP send-and-receive (not just shape inspection): the 8 connector-specific tests (incl. Slack body.ok post-check + Klaviyo vnd.api+json + Brevo lowercase header + Mailchimp Basic), 6 safety-gate tests, and 1 data-substitution test. All pass.

Model curator — no hardcoded model ids (v3.7.4+)

Frontier models change every ~6 weeks. Hardcoding claude-sonnet-4-5-20250929 or gemini-2.0-flash across dozens of scripts means a provider deprecation silently 404s, the user blames the plugin, and the maintainer has to grep three repos. So we don't hardcode.

• `scripts/model_registry.json` — single source of truth for every model id used by the plugin, with vendor, tier, modality, status, and replacement_id for deprecated entries.
• `scripts/resolve_model.py` — Python module + CLI. Resolves human aliases (latest-balanced-anthropic, latest-fast-anthropic, latest-text-openai, latest-vision-google, latest-image-google, latest-video-google) to concrete ids at call time. Deprecated ids passed via --model auto-fall-forward to their replacement (with a stderr warning).
• `scripts/refresh_models.py` — polls Anthropic / OpenAI / Google / Evolink list endpoints with your API keys and reports drift versus the registry (NEW models in the provider catalog, STALE models in the registry).

Every script that calls a provider model now accepts --model (or --openai-model / --anthropic-model for scripts/ai-visibility-checker.py) and the value is validated against the registry. See docs/MODEL-CURATOR.md for the full alias map, curation policy, and worked examples.

python scripts/resolve_model.py --alias latest-balanced-anthropic    # -> claude-sonnet-4-6
python scripts/resolve_model.py --check gemini-2.0-flash              # -> deprecated (use gemini-3.5-flash)
python scripts/resolve_model.py --list --vendor anthropic --status current
python scripts/refresh_models.py                                      # drift report (needs API keys)

Compliance — 16 jurisdictions, EU AI Act Article 50 ready

DM Pro carries jurisdiction-specific compliance rules that auto-apply when a brand declares its target markets. Coverage:

🇪🇺 EU (GDPR + AI Act Article 50) · 🇺🇸 US Federal (CAN-SPAM) · 🇺🇸 California (CCPA/CPRA) · US 20+ state privacy laws · 🇨🇦 Canada (CASL + PIPEDA) · 🇧🇷 Brazil (LGPD) · 🇬🇧 UK (UK GDPR + PECR) · 🇦🇺 Australia (Privacy Act + Spam Act) · 🇸🇬 Singapore (PDPA) · 🇨🇳 China (PIPL) · 🇮🇳 India (DPDPA) · 🇯🇵 Japan (APPI) · 🇰🇷 South Korea (PIPA) · 🇸🇦 Saudi Arabia (PDPL) · 🇦🇪 UAE (Federal Decree-Law No. 45) · 🇹🇭 Thailand (PDPA)

EU AI Act Article 50 readiness (applicable 2 August 2026):

• C2PA content-provenance signing via /digital-marketing-pro:c2pa-metadata (end-to-end tested against c2pa-python 0.32 — 75-byte test PNG → 42,818-byte signed PNG with manifest_embedded_and_verified=true)
• Pre-publish gate (/digital-marketing-pro:check) treats missing C2PA on AI-flagged assets in EU campaigns as CRITICAL → BLOCKED
• Draft implementing guidelines (8 May 2026) added as compliance-rules.md §1.1b.i with six-row clarification table + five-point action list
• Production cert guide at docs/c2pa-production-cert-guide.md covers the four CAI-recognised authorities (Adobe Content Credentials, Truepic, Numbers Protocol, Microsoft Azure Confidential Ledger)

Other May 2026 regulatory updates baked in:

• NY synthetic-performer disclosure law (live June 2026, $1K–$5K per violation, $10K repeat) — applies to synthetic influencers + AI endorsements
• FTC May 2026 endorsement guidance — synthetic influencers, AI testimonials, AI-edited creator content
• CJEU March 2026 ruling — pseudonymized cookie IDs are personal data when re-identification is feasible
• CCPA Jan 2026 ADMT amendments + AI-derived sensitive data classification
• DPDP Phase II preparation — consent manager registration opens Nov 2026

AEO / GEO — May 2026 reality

The search landscape pivoted hard in 2025–2026:

• Google AI Overviews appear on ~55% of all Google searches (Seer Interactive, Sept 2025); organic CTR on AI Overview queries dropped ~61% (1.76% → 0.61%); ~58% of Google searches are now zero-click
• Google AI Mode became the default conversational search experience for opted-in users at I/O 2026 (19 May 2026), backed by Gemini 3.5 Flash — ~1B MAUs
• ChatGPT search reaches ~883M MAU; Perplexity heavily skews citations to Reddit (47% of factual cites); Wikipedia drives 48% of ChatGPT citations

DM Pro's AEO/GEO skills (/digital-marketing-pro:aeo-audit, :geo-monitor, :entity-audit) reflect this:

• 6-platform audit standard — ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Microsoft Copilot (was 5 — AI Mode added May 2026)
• Schema strategy refresh — Google's March 2026 core update demoted FAQ/Review/HowTo schema on non-primary pages. Skills emphasise entity-rich JSON-LD (Article + Organization + Person + Product) and produce an LLMs.txt companion file
• Citation tracking across all 6 surfaces, with Profound / Otterly / Conductor AgentStack integration paths in the connectors layer
• Share of AI Voice as a first-class metric in /digital-marketing-pro:performance-report

Channel guidance — May 2026 updates baked in

• LinkedIn (March 2026 algorithm shift): external links and engagement bait penalized ~60%. New Depth Score measures dwell time. Followers no longer guarantee reach. Skills optimize for relevance and Depth Score.
• Email: Apple MPP affects ~64% of B2C opens — open rate is functionally dead as a primary KPI. DMARC + RFC 8058 one-click POST unsubscribe mandatory; non-compliant bulk mail to Gmail/Yahoo/Microsoft gets permanent 550 rejections. Spam threshold tightened to <0.10%.
• TikTok (post Jan 22 2026 USDS Joint Venture closing): US data + algorithm under USDS LLC; ByteDance retains <20%. AI-generated creators require disclosure label; AI content excluded from Creator Rewards Program; daily shoppable-post limits effective May 11 2026.
• Meta Advantage+ Leads (global as of May 2026), Threads ads (global, image-only), brand-safety inventory tiers (Expanded/Moderate/Limited — Limited costs ~30% reach).
• WhatsApp per-message pricing (since 1 July 2025) — India marketing template ≈ USD 0.0118 per message; 72-hour free service window from CTWA ads or Page CTAs.
• Third-party cookies — deprecation cancelled. First-party data is the strategic priority. The attribution-model skill defaults to first-party + MMM + incrementality stack.
• Sora dependency note: OpenAI consumer Sora app discontinued April 26 2026; Sora API September 24 2026. AI creative briefs default to Veo 3.1, Kling v3.0 Pro, Runway Gen-4, Gemini Omni.

Documentation

Two PDF references at the repo root: DM_Strategy_Complete_Learning_Guide.pdf (full methodology) and DM_Strategy_Flow_v3_2_Visualization_v1_23Apr26.pdf (one-page visual map).

FAQ

**Q: How does this compare to LangCh