Local AI Model Matcher
Agent skill: safely reads your PC specs and recommends the top 3 local AI models (most powerful / best coding / best small+fast) with links. From David Ondrej x 0xSero.
Install
git clone https://github.com/Maciejdziuba/local-ai-model-matcherInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Local AI Model Matcher (skill)
A portable agent skill that reads your computer's actual specs (safely, read-only) and recommends the top 3 local AI models to run:
- 🔥 Most powerful you can run
- 💻 Best for coding
- ⚡ Best small + fast
…each with download links (Hugging Face / LM Studio / Ollama). You don't type your specs — the skill detects them. Model picks are grounded in a June 2026 sweep of r/LocalLLaMA, r/ollama, Hacker News, and NVIDIA forums, plus David Ondrej's 0xSero interview.
How it works
- You run it from your project root with a shell-capable agent (e.g. Claude Code).
- It runs read-only commands to detect your GPU, VRAM, system RAM, and OS.
- It computes your usable VRAM and recommends 3 models with links + a stretch goal.
It never writes files, never uses sudo, never installs anything, and makes no
network calls during detection. See the SAFETY RULES section of SKILL.md.
Use it
Claude Code / agents with skills
git clone https://github.com/Maciejdziuba/local-ai-model-matcher
Drop SKILL.md where your agent loads skills (e.g. ~/.claude/skills/), open your
agent in any folder, and ask:
What local AI models can my computer run?
The agent will run the detection (or scripts/detect-specs.sh /
scripts/detect-specs.ps1) and return your top 3.
Check the detection yourself first (optional)
# macOS / Linux
bash scripts/detect-specs.sh
# Windows (PowerShell)
powershell -ExecutionPolicy Bypass -File scripts/detect-specs.ps1
Companion skill
Shopping for hardware instead? Use local-ai-rig-planner — give it a budget and it builds your rig plan.
Disclaimer
Model VRAM/speed figures are community signals (June 2026 r/LocalLLaMA, r/ollama, HN, NVIDIA forums) + the 0xSero podcast — candidates to test, not guarantees. Real numbers vary by quant, KV cache, context, runtime, and drivers. Verify the exact model tag in Ollama / LM Studio / Hugging Face before relying on it.
License
MIT
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