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42-skill marketing division for AI coding agents. 7 specialist pods covering content, SEO, CRO, channels, growth, intelligence, and sales. Foundation context system + orchestration router. 27 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
--- name: marketing-skills-842e91c1d791 description: "42-skill marketing division for AI coding agents. 7 specialist pods covering content, SEO, CRO, channels, growth, intelligence, and sales. Foundation context system + orchestration router. 27 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw." version: 2.0.0 author: Alireza Rezvani license: MIT tags: - marketing - seo - content - copywriting - cro - analytics - ai-seo agents: - claude-code - codex-cli - openclaw --- # Marketing Skills Division 42 production-ready marketing skills organized into 7 specialist pods with a context foundation and orchestration layer. ## Quick Start ### Claude Code ``` /read marketing-skill/marketing-ops/SKILL.md ``` The router will direct you to the right specialist skill. ### Codex CLI ```bash codex --full-auto "Read marketing-skill/marketing-ops/SKILL.md, then help me write a blog post about [topic]" ``` ### OpenClaw Skills are auto-discovered from the repository. Ask your agent for marketing help — it routes via `marketing-ops`. ## Architecture ``` marketing-skill/ ├── marketing-context/ ← Foundation: brand voice, audience, goals ├── marketing-ops/ ← Router: dispatches to the right skill │ ├── Content Pod (8) ← Strategy → Production → Editing → Social ├── SEO Pod (5) ← Traditional + AI SEO + Schema + Architecture ├── CRO Pod (6) ← Pages, Forms, Signup, Onboarding, Popups, Paywall ├── Channels Pod (5) ← Email, Ads, Cold Email, Ad Creative, Social Mgmt ├── Growth Pod (4) ← A/B Testing, Referrals, Free Tools, Churn ├── Intelligence Pod (4) ← Competitors, Psychology, Analytics, Campaigns └── Sales & GTM Pod (2) ← Pricing, Launch Strategy ``` ## First-Time Setup Run `marketing-context` to create your `marketing-context.md` file. Every other skill reads this for brand voice, audience personas, and competitive landscape. Do this once — it makes everything better. ## Pod Overview | Pod | Skills | Python Tools | Key Capabilities | |-----|--------|-------------|-----------------| | **Foundation** | 2 | 2 | Brand context capture, skill routing | | **Content** | 8 | 5 | Strategy → production → editing → humanization | | **SEO** | 5 | 2 | Technical SEO, AI SEO (AEO/GEO), schema, architecture | | **CRO** | 6 | 0 | Page, form, signup, onboarding, popup, paywall optimization | | **Channels** | 5 | 2 | Email sequences, paid ads, cold email, ad creative | | **Growth** | 4 | 2 | A/B testing, referral programs, free tools, churn prevention | | **Intelligence** | 4 | 4 | Competitor analysis, marketing psychology, analytics, campaigns | | **Sales & GTM** | 2 | 1 | Pricing strategy, launch planning | | **Standalone** | 4 | 9 | ASO, brand guidelines, PMM strategy, prompt engineering | ## Python Tools (27 scripts) All scripts are stdlib-only (zero pip installs), CLI-first with JSON output, and include embedded sample data for demo mode. ```bash # Content scoring python3 marketing-skill/content-production/scripts/content_scorer.py article.md # AI writing detection python3 marketing-skill/content-humanizer/scripts/humanizer_scorer.py draft.md # Brand voice analysis python3 marketing-skill/content-production/scripts/brand_voice_analyzer.py copy.txt # Ad copy validation python3 marketing-skill/ad-creative/scripts/ad_copy_validator.py ads.json # Pricing scenario modeling python3 marketing-skill/pricing-strategy/scripts/pricing_modeler.py # Tracking plan generation python3 marketing-skill/analytics-tracking/scripts/tracking_plan_generator.py ``` ## Unique Features - **AI SEO (AEO/GEO/LLMO)** — Optimize for AI citation, not just ranking - **Content Humanizer** — Detect and fix AI writing patterns with scoring - **Context Foundation** — One brand context file feeds all 42 skills - **Orchestration Router** — Smart routing by keyword + complexity scoring - **Zero Dependencies** — All Python tools use stdlib only--- name: marketing-skills-842e91c1d791 description: "42-skill marketing division for AI coding agents. 7 specialist pods covering content, SEO, CRO, channels, growth, intelligence, and sales. Foundation context system + orchestration router. 27 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw." version: 2.0.0 author: Alireza Rezvani license: MIT tags: - marketing - seo - content - copywriting - cro - analytics - ai-seo agents: - claude-code - codex-cli - openclaw --- # Marketing Skills Division 42 production-ready marketing skills organized into 7 specialist pods with a context foundation and orchestration layer. ## Quick Start ### Claude Code ``` /read marketing-skill/marketing-ops/SKILL.md ``` The router will direct you to the right specialist skill. ### Codex CLI ```bash codex --full-auto "Read marketing-skill/marketing-ops/SKILL.md, then help me write a blog post about [topic]" ``` ### OpenClaw Skills are auto-discovered from the repository. Ask your agent for marketing help — it routes via `marketing-ops`. ## Architecture ``` marketing-skill/ ├── marketing-context/ ← Foundation: brand voice, audience, goals ├── marketing-ops/ ← Router: dispatches to the right skill │ ├── Content Pod (8) ← Strategy → Production → Editing → Social ├── SEO Pod (5) ← Traditional + AI SEO + Schema + Architecture ├── CRO Pod (6) ← Pages, Forms, Signup, Onboarding, Popups, Paywall ├── Channels Pod (5) ← Email, Ads, Cold Email, Ad Creative, Social Mgmt ├── Growth Pod (4) ← A/B Testing, Referrals, Free Tools, Churn ├── Intelligence Pod (4) ← Competitors, Psychology, Analytics, Campaigns └── Sales & GTM Pod (2) ← Pricing, Launch Strategy ``` ## First-Time Setup Run `marketing-context` to create your `marketing-context.md` file. Every other skill reads this for brand voice, audience personas, and competitive landscape. Do this once — it makes everything better. ## Pod Overview | Pod | Skills | Python Tools | Key Capabilities | |-----|--------|-------------|-----------------| | **Foundation** | 2 | 2 | Brand context capture, skill routing | | **Content** | 8 | 5 | Strategy → production → editing → humanization | | **SEO** | 5 | 2 | Technical SEO, AI SEO (AEO/GEO), schema, architecture | | **CRO** | 6 | 0 | Page, form, signup, onboarding, popup, paywall optimization | | **Channels** | 5 | 2 | Email sequences, paid ads, cold email, ad creative | | **Growth** | 4 | 2 | A/B testing, referral programs, free tools, churn prevention | | **Intelligence** | 4 | 4 | Competitor analysis, marketing psychology, analytics, campaigns | | **Sales & GTM** | 2 | 1 | Pricing strategy, launch planning | | **Standalone** | 4 | 9 | ASO, brand guidelines, PMM strategy, prompt engineering | ## Python Tools (27 scripts) All scripts are stdlib-only (zero pip installs), CLI-first with JSON output, and include embedded sample data for demo mode. ```bash # Content scoring python3 marketing-skill/content-production/scripts/content_scorer.py article.md # AI writing detection python3 marketing-skill/content-humanizer/scripts/humanizer_scorer.py draft.md # Brand voice analysis python3 marketing-skill/content-production/scripts/brand_voice_analyzer.py copy.txt # Ad copy validation python3 marketing-skill/ad-creative/scripts/ad_copy_validator.py ads.json # Pricing scenario modeling python3 marketing-skill/pricing-strategy/scripts/pricing_modeler.py # Tracking plan generation python3 marketing-skill/analytics-tracking/scripts/tracking_plan_generator.py ``` ## Unique Features - **AI SEO (AEO/GEO/LLMO)** — Optimize for AI citation, not just ranking - **Content Humanizer** — Detect and fix AI writing patterns with scoring - **Context Foundation** — One brand context file feeds all 42 skills - **Orchestration Router** — Smart routing by keyword + complexity scoring - **Zero Dependencies** — All Python tools use stdlib only
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.