agentleFS
Sign inStart free
afaizalam2003afaizalam2003/Master-claude-skill/marketing-skill/SKILL.md

marketing-skills

Skill2 starsChanged 8 months agoMITView on GitHub

42 marketing agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more coding agents. 7 pods: content, SEO, CRO, channels, growth, intelligence, sales. Foundation context + orchestration router. 27 Python tools (stdlib-only).

  • Installs packages

19 other projects use a version of this, 13 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. 1 is common, 0 are distinctive, and 1 is very specific to this project.

  • 1

    Common

    Most of the 17 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run marketing-context to create your marketing-context.md file.

    line 59
  2. Common:

    All scripts are stdlib-only (zero pip installs), CLI-first with JSON output, and include embedded sample data for demo mode.

    line 77

“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

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

PodSkillsPython ToolsKey Capabilities
Foundation22Brand context capture, skill routing
Content85Strategy → production → editing → humanization
SEO52Technical SEO, AI SEO (AEO/GEO), schema, architecture
CRO60Page, form, signup, onboarding, popup, paywall optimization
Channels52Email sequences, paid ads, cold email, ad creative
Growth42A/B testing, referral programs, free tools, churn prevention
Intelligence44Competitor analysis, marketing psychology, analytics, campaigns
Sales & GTM21Pricing strategy, launch planning
Standalone49ASO, 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.

# 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

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free