marketing

Content Generation with content-generation-solution-accelerator

Name: Content Generation with content-generation-solution-accelerator
Author: microsoft

Speed up marketing content creation with AI.

intermediate⏱ 30 minutes💵 Free + LLM API costs

256 stars202 forksPythonUpdated 9/10/2026100% free · open source

What it is

Use AI to create marketing content quickly.

Real use case example

"A founder wants to quickly write and schedule social media posts for their new product launch. They use this skill to generate engaging post ideas and descriptions in just a few minutes. They then copy and paste the content into their social media scheduler. Within an hour, their social media channels are filled with exciting content, saving them hours of time and effort."

Best insideClaude DesktopClaude APISelf-hostedAny AI Client

When to use it

•When you need to quickly generate a large volume of marketing content
•When your marketing team is struggling to keep up with content demands
•When you want to automate repetitive content creation tasks to focus on higher-level marketing strategy

Ready-to-paste prompt

python generate_content.py --content_type blog_post --topic 'artificial intelligence in marketing' --length 500

Saves to your device

Use with Claude

New

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

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/content-generation-solution-accelerator && curl -fsSL https://workflowstacks.com/api/skills/content-generation-solution-accelerator/claude-skill -o ~/.claude/skills/content-generation-solution-accelerator/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 Content Generation with content-generation-solution-accelerator works

Codeflow

Free to inspect

Content Generation with content-generation-solution-accelerator is a large Python project (~18k lines across 80 code files, plus 25 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, MIT license, has a test suite.

Size

Large codebase

~18k lines · 80 code files · ~3 h to skim

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Python

Needs API keys (.env)

Python 73%TypeScript 10%Bicep 6%Shell 6%PowerShell 4%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
.env.sample
The API keys and settings you must provide
3
src/backend/__init__.py
Inside src/ — the main logic begins here

What's in each folder

src/Core code — the actual logic86 files

docs/Documentation43 files

infra/Deployment / infrastructure32 files

scripts/Helper scripts29 files

.github/CI / automation (GitHub Actions)27 files

tests/Tests — proof it works17 files

.devcontainer/Editor / agent settings3 files

READMEHas testsDocumentedCI checksMIT licenseUpdated this month