podcaster_crew: Streamline Podcast Production with AI Agents
Create custom automations using Python that interact with various services, like integrating Stripe customer data with Notion.
"A founder, Emily, wants to welcome new customers to her SaaS product. She uses podcaster_crew to create an automation that adds new Stripe customers to her Notion database and sends a personalized welcome email via Resend. After setting up the automation, Emily saves two hours every week she previously spent on this manual task."
- •When you need to automate repetitive tasks in your startup
- •When you want to optimize your workflow and increase productivity
- •When you need to integrate multiple tools and services into one automated workflow
python main.py --task 'send_notification' --params '{"message": "Hello, this is a test notification"}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/podcaster-crew && curl -fsSL https://workflowstacks.com/api/skills/podcaster-crew/claude-skill -o ~/.claude/skills/podcaster-crew/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Podcaster_crew: Streamline Podcast Production with AI Agents is a tiny Python project (~250 lines across 5 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 14 months ago, no license file, no tests found.
- 1README.mdStart here — what it does and how to install it
- 2pyproject.tomlDependencies and the commands it exposes
- 3src/podcaster/__init__.pyInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/podcaster-crew && curl -fsSL https://workflowstacks.com/api/skills/podcaster-crew/claude-skill -o ~/.claude/skills/podcaster-crew/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
Recover abandoned carts with personalized emails
Export abandoned carts to a Google Sheet and the workflow drafts a warm, specific win-back email for each — referencing the actual product, without desperate discount-spam. You review and send.
Free n8n templateCold Email Personalizer
Turn a list of prospects into genuinely specific, personalized cold-email openers — each scored 1-5 for specificity so you can kill the generic ones.
Outcome guidePersonalize your cold emails at scale
You keep prospects in a Google Sheet with a note about each. The workflow writes a specific one-line opener per prospect and scores it 1–5, so you can send the strong ones and fix the weak ones.
Related skills
More ai-agent tools founders pair with this one.