Athena-Public: Automate AI Agents
Create custom AI agents for automating AI workflows using Python.
"A founder wants to automate a customer onboarding process using their LLM. They use Athena-Public to create a custom AI agent that retrieves new Stripe customers, extracts their information, and adds it to a Notion database. The agent then sends a welcome email to the customer via an email service, saving the founder time and effort."
- •When you need to automate complex workflows that require LLMs to retain context and memory across multiple interactions
- •When you want to create autonomous AI agents that can operate independently with their own state and decision-making
- •When you need to integrate multiple AI models and services into a single, coherent workflow with persistent memory
python scripts/create_agent.py --name my_agent --model transformer --memory 1024
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/athena-public && curl -fsSL https://workflowstacks.com/api/skills/athena-public/claude-skill -o ~/.claude/skills/athena-public/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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/athena-public && curl -fsSL https://workflowstacks.com/api/skills/athena-public/claude-skill -o ~/.claude/skills/athena-public/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.
Memory (knowledge graph) MCP config
Persistent memory across chats via a local knowledge graph.
Free n8n templateAbandoned Cart Win-Back
Draft a personalized, non-pushy win-back email for every abandoned cart — referencing the exact product left behind. You approve before sending.
Outcome guideRecover 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.
Related skills
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