--- 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 --- Source attribution: levalencia Original project: https://github.com/levalencia/agent-god-mode/blob/fa638b97a18ff6d9f26cf0eaf3dfa123531bcc87/organized-skills/marketing-bundle/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: levalencia Original project: https://github.com/levalencia/agent-god-mode/blob/fa638b97a18ff6d9f26cf0eaf3dfa123531bcc87/organized-skills/marketing-bundle/SKILL.md Attribution basis: Source repository record Fields of work: Marketing Roles: Content Marketer, Growth Marketer, Marketing Analyst, Product Marketer, SEO Specialist Specialties: Specialty not specified Tools: Google Analytics, OpenAI API, Python Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: ecd8217293a2e70a211c1da25adbfe92ba36c5719bac69f553c138845ad3a2e6