Claude skills for Ollama

29 public Claude skills touch on Ollama. These 29 are the closest fit, best-known sources first. Each links to its folder; copy it into ~/.claude/skills/ to use it.

  1. add ollama provider

    Route a NanoClaw agent group to a local Ollama model instead of the Anthropic API. Ollama speaks the Anthropic API natively (v1/messages), so no provider code changes are needed — just env var overrides and a model setting. Use when the user wants to run…

    nanocoai/nanoclaw★ 31kMITFolder: add-ollama-provider

  2. add ollama tool

    Add Ollama MCP server so the container agent can call local models and optionally manage the Ollama model library.

    nanocoai/nanoclaw★ 31kMITFolder: add-ollama-tool

  3. ollama stack

    Run local LLM workloads with Ollama, Open WebUI, and GPU-aware tuning for private development environments. Use when setting up private inference, local AI dev environments, or air-gapped LLM deployments.

    BagelHole/DevOps-Security-Agent-Skills★ 1.2kMITFolder: ollama-stack

  4. ai infrastructure ollama

    Local LLM inference with the Ollama JavaScript client -- chat, streaming, tool calling, vision, embeddings, structured output, model management, and OpenAI-compatible endpoint

    agents-inc/skills★ 26MITFolder: ai-infrastructure-ollama

  5. dspy ollama

    Run DSPy with local models via dspy.LM and Ollama — no API key needed. Use when you want to run DSPy locally, use Ollama, set up a local LLM, run offline, or configure local model parameters. Also used for ollama, local model, run LLM locally, llama local,…

    lebsral/DSPy-Programming-not-prompting-LMs-skills★ 12No licence statedFolder: dspy-ollama

  6. cognee integrations

    Use when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenRouter), changing databases (Postgres, PGVector, Neo4j, Neptune, Turso), S3 storage, or the MCP server for…

    topoteretes/cognee★ 33kApache-2.0Folder: cognee-integrations

  7. technology selection

    Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from…

    dotnet/skills★ 5.8kMITFolder: technology-selection

  8. local llm free

    Run the ComfyUI agent locally for FREE with no subscription, no API key, and fully offline, using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama. Use when the user asks about running locally, running for free, offline use, avoiding…

    artokun/comfyui-mcp★ 879MITFolder: local-llm-free

  9. configuring vision

    The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models. Use this to configure provider-neutral visual understanding…

    oxbshw/watch-skill★ 534MITFolder: configuring-vision

  10. model serving

    LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model),…

    ancoleman/ai-design-components★ 525MITFolder: model-serving

  11. agentsop llm engine selection

    Cross-engine decision rubric for self-hosting or recommending an LLM serving stack. Picks among vLLM, SGLang, TensorRT-LLM, TGI, llama.cpp, Ollama, and MLX as a function of (hardware × workload × constraint), not "which is fastest". Activates whenever a…

    agentsope/SkillAlchemy★ 459MITFolder: agentsop-llm-engine-selection

  12. setup

    Set up, install, and configure CONFIDE local de-identification — installs Python deps (natasha, scrubadub, phonenumbers, pymorphy2), ensures Ollama + pulls the default qwen2.5:3b model, detects optional llama.cpp, and writes the optimal-default config so…

    glebis/claude-skills★ 402MITFolder: setup

  13. local models

    Run quick, offline, private LLM tasks on local models via llama.cpp, reusing models already downloaded by Ollama. Use for cheap/bulk text work (summarize, classify, extract JSON, anonymize PII, translate, proofread, keywords), local embeddings, and offline…

    glebis/claude-skills★ 402MITFolder: local-models

  14. session anonymizer

    Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring). Runs Natasha (Russian NER), OpenAI Privacy Filter, and local LLM (Ollama) in sequence for maximum coverage. Fully local by default. This skill should be used…

    glebis/claude-skills★ 402MITFolder: session-anonymizer

  15. huggingface

    Use when running open models or working on the Hugging Face platform — the Inference Providers router or InferenceClient, Hub repos via the hf CLI, a dedicated Inference Endpoint with scale-to-zero, a Gradio Space with ZeroGPU, picking an open model by…

    ericrisco/rsc-harness★ 388MITFolder: huggingface

  16. glimmer delegation

    Delegates tasks to a locally served Muse Glimmer via ollama. Use when delegation-core selects glimmer or the prompt must not leave the machine.

    athola/claude-night-market★ 343MITFolder: glimmer-delegation

  17. gemma4 local deploy

    在本机 Mac 或 Apple Silicon 上部署 Gemma 4 12B。本地安装/升级 llama.cpp,下载 GGUF 量化模型,用 llama-server 暴露 OpenAI-compatible API,或用 Ollama 暴露本地模型服务;按用户需求在默认 Q4_K_M、64K/128K 长上下文、QAT Q4_0 @ 256K、左右对比演示之间选择,配置 tmux 后台运行,验证健康检查、问答接口、资源占用和常见故障。当用户说部署 Gemma 4、Gemma 4…

    majiayu000/spellbook★ 288MITFolder: gemma4-local-deploy

  18. BrowserBash Browser Automation

    BrowserBash is a vendor-independent, natural-language browser automation CLI. Drive a real browser from plain-English objectives or committable Markdown tests, run on local Chrome, CDP/Playwright MCP, Browserbase, LambdaTest, or BrowserStack, and stream…

    PramodDutta/qaskills★ 244MITFolder: browserbash

  19. synthetic data finetuning expert

    Expert guide for synthetic dataset generation, LLM-as-a-judge filtering, QLoRA fine-tuning (Unsloth), DPO alignment, and GGUF/Ollama export for local SLMs / Panduan ahli generasi data sintetis, fine-tuning QLoRA, DPO, dan ekspor GGUF/Ollama.

    roedyrustam/vibes-plug★ 116MITFolder: synthetic-data-finetuning-expert

  20. eu business compliance panyeroa1

    Check documents for GDPR compliance, analyze data processing agreements, and ensure Belgian business law compliance using Ollama cloud models for intelligent legal analysis.

    ThomasMoreAI/legal-skills-open★ 96Apache-2.0Folder: eu-business-compliance-panyeroa1

  21. contract law reviewer panyeroa1

    Intelligent contract analysis for EU and Belgian business law. Identifies risks, suggests improvements, and ensures legal compliance using Ollama cloud models.

    ThomasMoreAI/legal-skills-open★ 96Apache-2.0Folder: contract-law-reviewer-panyeroa1

  22. eu regulatory updates panyeroa1

    Track EU regulations, directives, and compliance changes relevant to Belgian businesses. Monitors EU Official Journal, Commission announcements, and regulatory databases using Ollama cloud models.

    ThomasMoreAI/legal-skills-open★ 96Apache-2.0Folder: eu-regulatory-updates-panyeroa1

  23. llm benchmark

    Use when the user wants to test, compare, or choose local Ollama models for their machine. Checks Ollama/GPU state, recommends model sizes from available VRAM, preserves existing benchmark records, pulls only approved models, runs repeatable benchmarks,…

    KerberosClaw/kc_ai_skills★ 79MITFolder: llm-benchmark

  24. llama cpp

    Run GGUF models directly, load LoRA adapters, benchmark inference speed, and serve models via llama-server using llama.cpp. Includes Qwen 3.5 serve scripts (9B dense + F16, 35B MoE) with asymmetric KV cache and thinking mode. Secondary to Ollama; use when…

    tdimino/claude-code-minoan★ 41MITFolder: llama-cpp

  25. open interpreter

    Desktop GUI automation via OpenInterpreter — mouse, keyboard, screenshot, and OCR control for native macOS/Linux applications. Three modes: Library (Claude reasons, OI executes), OS subprocess (full autonomous computer use), and Local agent (Ollama,…

    tdimino/claude-code-minoan★ 41MITFolder: open-interpreter

  26. rlama

    Build and query fully local RAG knowledge bases from documents (PDF, MD, code, etc.) using RLAMA and Ollama — no cloud, no data leaving the machine. Triggers on 'local knowledge base', 'search documents', 'document Q&A', 'RAG query', 'ingest files',…

    tdimino/claude-code-minoan★ 41MITFolder: rlama

  27. graphrag hybrid

    Répond à une question par recherche hybride locale : similarité vectorielle dans Qdrant, puis expansion du voisinage dans Neo4j, puis synthèse par un modèle Ollama — pipeline neo4j-graphrag-python (Apache-2.0), zéro API payante. À utiliser quand…

    GeekFamilyCorp/TricorderKit★ 32MITFolder: graphrag-hybrid

  28. run llms

    Set up and run local LLMs with Harbor. Use when the user wants to run models locally, install Harbor, start Open WebUI, llama.cpp, Ollama, vLLM, Docker Model Runner, MLX, or oMLX, pull GGUF or HuggingFace models, add SearXNG web search, Speaches TTS/STT,…

    av/skills★ 28MITFolder: run-llms

  29. heretic abliteration

    Heretic — fully automatic LLM censorship removal (abliteration) and serving the result via Ollama. Wraps p-e-w/heretic: directional ablation (difference-of-means refusal directions, orthogonalizing attn.o_proj + mlp.down_proj) with an Optuna/TPE search…

    broomva/skills★ 5MITFolder: heretic-abliteration

Claude skills for Ollama: what people ask

Is there a Claude skill for Ollama?

There are 29 of them, spread over 22 repositories on GitHub. Named for it and most starred: add ollama provider (nanocoai/nanoclaw, ★ 31k), add ollama tool (nanocoai/nanoclaw, ★ 31k) and ollama stack (BagelHole/DevOps-Security-Agent-Skills, ★ 1.2k). Stars rate the repository a skill sits in, not the skill.

How do I install a Claude skill for Ollama?

For Ollama, take the add-ollama-provider folder from nanocoai/nanoclaw (the folder that holds SKILL.md) into ~/.claude/skills/ to use it in every Claude Code project, or into .claude/skills/ for one project. In the Claude apps, zip that folder and upload it as a custom skill in settings.

Are all these Ollama skills in English?

No: gemma4 local deploy is written mainly in Chinese, Japanese, Korean or Russian rather than English, though the Ollama task is the same. Claude can follow it either way, but read it before you install.

Should I use a skill or an MCP server for Ollama?

A skill teaches Claude a way of working; an MCP server gives it new tools, like access to Ollama itself. We list 21 MCP servers for Ollama if you need the connection.

What should I check before installing a Ollama skill?

A Ollama skill is instructions Claude follows, and it can bundle scripts Claude runs, so read SKILL.md and every script first: for add ollama provider, that is everything in the add-ollama-provider folder. 1 of the 29 here, heretic abliteration, come from repositories with under 10 stars, so few people have looked at it. Red flags: piping a download into a shell, sending files to a URL, and instructions to hide what it does from you.

Are these Ollama skills maintained?

26 of the 29 Ollama skills sit in repositories that changed in the 30 days before 31 Oct 2026.

More topics: every “Claude skills for…” page.