local-LLM-with-RAG: AI Generation
Local-LLM-with-RAG enables founders to run local language models for AI-powered chat and language tools, specifically using Retrieval-Augmented Generation (RAG) for enhanced text generation
- •When you need to integrate AI-powered chat functionality into your startup's application
- •When you want to generate human-like text based on specific input or context
- •When you require a customizable language model that can be fine-tuned for your specific use case
python generate.py --prompt 'Write a product description for a new smartwatch' --length 100
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/local-llm-with-rag && curl -fsSL https://workflowstacks.com/api/skills/local-llm-with-rag/claude-skill -o ~/.claude/skills/local-llm-with-rag/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/local-llm-with-rag && curl -fsSL https://workflowstacks.com/api/skills/local-llm-with-rag/claude-skill -o ~/.claude/skills/local-llm-with-rag/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Review Watchdog
Catch every bad review the day it lands — with a reply ready.
Includes the tested workflow and a written setup playbook. Needs: Google Places API key (free tier).
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