claude-skill

OpenCMO

OpenCMO: An open-source, multi-agent AI Chief Marketing Officer built with OpenAI Agents SDK & Crawl4AI. Your BYOK alternative to $99/mo AI marketing agencies.
125 stars+1★ this week34 forksPythonUpdated 10/13/2026100% free · open source
What it does

OpenCMO is an open-source, multi-agent AI Chief Marketing Officer that automates marketing tasks using OpenAI Agents SDK and Crawl4AI, offering a BYOK alternative to paid AI marketing agencies

When to use it
  • •You need to automate repetitive marketing tasks without breaking the bank
  • •You want to leverage AI for marketing strategy and content generation
  • •You're looking for a customizable, self-hosted alternative to paid AI marketing agencies
Ready-to-paste prompt
python openai_sdk.py --task 'Generate a social media post for a new product launch' --prompt 'Write a Facebook post for a new sustainable fashion brand'
Heads up: You need to obtain an OpenAI API key and set it in the `config.json` file before running the OpenCMO scripts
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/opencmo && curl -fsSL https://workflowstacks.com/api/skills/opencmo/claude-skill -o ~/.claude/skills/opencmo/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How OpenCMO works
Codeflow
Free to inspect

OpenCMO is a very large Python project (~85k lines across 368 code files, plus 53 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, no license file, has a test suite.

Size
Very large codebase
~85k lines · 368 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python · Docker
Needs API keys (.env)
Python 59%TypeScript 40%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    src/opencmo/__init__.py
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic187 files
frontend/Frontend / UI196 files
docs/Documentation19 files
video/Folder9 files
scripts/Helper scripts1 files
tests/Tests — proof it works56 files
assets/Images & static assets29 files
.github/CI / automation (GitHub Actions)4 files
READMEHas testsDocumentedCI checksDocker readyNo licenseUpdated this month
Quick Actions
Details
Creator
Lling0000
Language
Python
Category
claude-skill
Published
3/18/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/opencmo.svg)](https://workflowstacks.com/skills/opencmo?utm_source=github&utm_medium=badge)
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