Ollama Serving

by Prism-Shadow

Ollama Serving is an AI Engineering skill for Claude Code, published by Prism-Shadow in penguin-harness.

1.5K stars150 forkson Prism-Shadow/penguin-harnessAdded 2026/08/19+21% in starsRepository updated 2026/08/19

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agentagentic-aiaibuild-toolclaude-codedeepseekdeepseek-harnessdesktopharnessllmrsiself-evolving

Install in seconds

Install Ollama Serving

Copy Ollama Serving 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/Prism-Shadow/penguin-harness/tree/main/packages/skills/skills/ollama ~/.claude/skills/ollama

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/Prism-Shadow/penguin-harness.git

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

In this catalog

Source file: packages/skills/skills/ollama/SKILL.md in Prism-Shadow/penguin-harness
Installs to: ~/.claude/skills/ollama
Collection: One of 21 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Ollama Serving does

Ollama Serving pulls and runs local models with Ollama, exposing an OpenAI-compatible endpoint on localhost:11434 for apps and agents. Use it to add a self-hosted model to PenguinHarness or any OpenAI client.

Ollama Serving is cataloged under AI Engineering on DirSkills. Ollama Serving comes from a repository tagged agent, agentic-ai, ai, build-tool and claude-code.

Documentation

README

Excerpt

Ollama Serving

Ollama runs open-weight models locally with automatic GPU detection and an OpenAI-compatible API on http://localhost:11434.

Before you start

If the user's message only invokes this skill (e.g. "use ollama skill") without a concrete request, ask the user what they want. Do not run any command until the goal is clear.

Ask the user which model to run; if they have no preference, recommend the small default Qwen/Qwen3.5-0.8B (ollama pull qwen3.5:0.8b). The model must fit the machine's RAM/VRAM.

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

Frequently asked about Ollama Serving

What else does Prism-Shadow publish alongside Ollama Serving?
Ollama Serving is one of 21 skills that DirSkills catalogs from Prism-Shadow/penguin-harness, the repository it ships in. Its siblings there include Agent Creation, Agent Evaluation and Agent Optimization. Each one is a separate skill with its own page in this directory, installs the same way Ollama Serving does, and is maintained by Prism-Shadow in that same repository. The rest of the collection is listed on the Prism-Shadow/penguin-harness page.
How does Ollama Serving compare to other AI Engineering skills?
Ollama Serving ranks #992 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 Ollama Serving against them. Open each page to compare what they document and how they install.