awesome-llm-apps: Deploy Ready‑to‑Run AI Agents & RAG Apps Fast
Allows you to run hundreds of pre-built AI apps and clone/customize/ship your own.
"A founder with an e-commerce platform wants to automate email follow-ups after a customer places an order. She uses the Awesome LLM Apps skill to find a pre-built script, clones it, customizes the email content, and sets up a Zapier integration. After publishing the app, she notices a significant decrease in customer complaints about missing emails."
- •You need to prototype an AI-powered chatbot or conversational interface
- •You want to explore different AI agent and RAG architectures for your startup
- •You need to quickly develop a proof-of-concept for an AI-driven project
python apps/conversational-ai/main.py --model_name 't5-small' --prompt 'Tell me a joke'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/awesome-llm-apps && curl -fsSL https://workflowstacks.com/api/skills/awesome-llm-apps/claude-skill -o ~/.claude/skills/awesome-llm-apps/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Awesome-llm-apps: Deploy Ready‑to‑Run AI Agents & RAG Apps Fast is a very large Python project (~143k lines across 929 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/awesome-llm-apps && curl -fsSL https://workflowstacks.com/api/skills/awesome-llm-apps/claude-skill -o ~/.claude/skills/awesome-llm-apps/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 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 guideTurn meeting notes into a summary email automatically
Paste the transcript into a private form and the workflow writes and emails a concise recap — decisions, owners, open questions — that people will actually read.
Related skills
More ai-agent tools founders pair with this one.