lm-studio-pydantic-ai
CommunityLocal LLM inference with structured output extraction
Software Engineering#Pydantic AI#LM Studio#structured data extraction#local LLM inference#AI-powered data processing
Authordushyantkhosla
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves the problem of local LLM inference for structured output extraction, providing a self-hosted solution for AI-powered data processing.
Core Features & Use Cases
- Local LLM Inference: Utilizes LM Studio as a local LLM backend, enabling offline AI and self-hosted LLMs.
- Structured Output Extraction: Extracts structured data from text, such as keywords, entities, sentiment, and document classification.
- Use Case: For users who require local inference, offline AI capabilities, or self-hosted LLMs to extract structured data from text without relying on cloud-based services.
Quick Start
Run the 'extract_person_info' function with the text you want to analyze: extract_person_info("Provide the text here").
Dependency Matrix
Required Modules
pydantic-ailmstudio
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: lm-studio-pydantic-ai Download link: https://github.com/dushyantkhosla/agent-skills/archive/main.zip#lm-studio-pydantic-ai Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.