Works with the AI tools you already use
Local Llm Troubleshooter
by LB Creations
Diagnose and fix broken local LLM stacks, GPU issues, and stalled model downloads across Ollama, LM Studio, and more.
Free
About this skill
What it does
The Local LLM Troubleshooter is a diagnostic power-tool for developers and AI engineers whose local inference stacks (Ollama, LM Studio, llama.cpp, vLLM, or Hugging Face) are failing. It eliminates the guesswork of "why is my model slow?" or "why won't this load?" by running a bundled diagnostic script that probes connection states, scans logs for failure signatures, and detects stalled downloads.
Why use this skill
Prompting a generic AI about local hardware issues often leads to circular advice. This skill is better because it uses llm_doctor.py to act as a system sensor. It identifies specific technical blockers like GGUF version mismatches, CUDA OOM (Out of Memory) errors, port conflicts, runner crashes, and stalled Hugging Face blobs. It maps these findings to a curated playbook of OS-specific fixes for Apple Silicon, NVIDIA, and WSL2 environments.
Supported tools
- Inference Servers: Ollama, LM Studio, llama.cpp, vLLM
- Model Sources: Hugging Face (hub downloads), Ollama library
- Frameworks: GGUF, local runners, GPU-accelerated backends
What the output looks like
The skill provides a structured triage report including a connectivity verdict (up/down/stuck), identification of the specific bottleneck, and an ordered list of high-probability fixes—ranging from context window adjustments to environment variable corrections.
Details
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Security Scanned
Passed automated security review
Permissions
File Scopes
Creator
LB designs and builds autonomous AI systems optimized for local deployment. Specializing in distributed inference fleets, multi-model orchestration, and agent-native tooling, everything runs on your hardware, zero API fees.
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