HF Mem

HF Mem is an AI Engineering skill for Claude Code, published by waybarrios in opencode-power-pack.

482 stars39 forkson waybarrios/opencode-power-packAdded 2026/08/26+2% in starsRepository updated 2026/08/24

ai-agentsanthropicclaude-codecode-reviewcodexcodex-clideveloper-toolsgradiohuggingfacellm-toolsmachine-learningml-trainingopenai-codexopencodepipi-coding-agentpi-packagepluginsecurity-auditskills

Install in seconds

Install HF Mem

Copy HF Mem into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/waybarrios/opencode-power-pack/tree/main/skills/hf-mem ~/.claude/skills/hf-mem

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/waybarrios/opencode-power-pack.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/hf-mem/SKILL.md in waybarrios/opencode-power-pack
Installs to: ~/.claude/skills/hf-mem
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What HF Mem does

HF Mem estimates the VRAM or memory needed to load Hugging Face Safetensors or GGUF model weights for inference. Use it to check whether a model fits on a GPU or instance, and optionally include KV cache estimates.

HF Mem is cataloged under AI Engineering on DirSkills. HF Mem comes from a repository tagged ai-agents, anthropic, claude-code, code-review and codex.

Documentation

README

Excerpt

hf_mem estimates the required memory for inference, including model weights and an optional KV cache, for Safetensors and GGUF for models on the Hugging Face Hub using HTTP Range requests i.e., without downloading or loading any weights locally.

When to use?

User asks how much VRAM or memory a model needs to run
User wants to know if a model fits on their GPU or a given instance
User references a Hugging Face model ID or URL and asks about inference requirements

This is the opening of the README. Read the full README on GitHub.

Frequently asked about HF Mem

What else does waybarrios publish alongside HF Mem?
HF Mem is one of 25 skills that DirSkills catalogs from waybarrios/opencode-power-pack, the repository it ships in. Its siblings there include AI Slop Rubric, AWS Context Discovery and Agentic Actions Auditor. Each one is a separate skill with its own page in this directory, installs the same way HF Mem does, and is maintained by waybarrios in that same repository. The rest of the collection is listed on the waybarrios/opencode-power-pack page.
How does HF Mem compare to other AI Engineering skills?
HF Mem ranks #2204 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of HF Mem against them. Open each page to compare what they document and how they install.