AI model or service
Ollama agent skills, page 3
Ollama skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | A skill your agent uses when starting, verifying, debugging, or repairing the local Manor self-hosted dev stack, Docker Compose services, seeded demo login, API/web/worker health… | manor-os/ | 162 | — | ~607 | Automated safety check: Notes | Unknown | 1 mo ago |
| 98 | 98.Cost Local Cost per million tokens on hardware you own (Ollama, llama.cpp, vLLM, LM Studio) from watts, electricity price, hardware price and measured tokens/second, and the utilisation at which local beats a… | ruvnet/ | 74k | — | ~336 | Automated safety check: Notes | MIT | today |
| 99 | Validate ChatQnA Core REST APIs from docs/user-guide/api-reference.md using repeatable curl-based smoke tests, runtime-specific endpoint checks (OpenVINO or Ollama), and concise pass/fail evidence. | open-edge-platform/ | 169 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 100 | 100.Chatqna Build Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI). | open-edge-platform/ | 169 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 101 | Deploy Chat Question-and-Answer Core with Docker Compose (OpenVINO CPU, OpenVINO GPU, or Ollama CPU), including env setup, profile selection, startup verification, health checks, and teardown. | open-edge-platform/ | 169 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | today |
| 102 | Run ChatQnA Core unit tests for backend (pytest via uv) and frontend UI (vitest), including runtime selection (openvino or ollama), coverage options, and concise pass/fail evidence. | open-edge-platform/ | 169 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 103 | Troubleshoot Chat Question-and-Answer Core end-to-end across Docker Compose and Helm deployments, including startup failures, health/API errors, runtime mismatches (OpenVINO vs Ollama), model/config… | open-edge-platform/ | 169 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 104 | 104.Knowledge Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material. | guaardvark/ | 257 | — | ~642 | Automated safety check: Pass | MIT | today |
| 105 | Search PubMed, preserve complete abstracts and sections, and produce research briefings with abstract openings or optional OpenAI/Ollama summaries. | ClawBio/ | 1.2k | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 106 | 106.Opencode Delegate coding to OpenCode CLI (multi-LLM open-source coding agent) | taracodlabs/ | 851 | — | ~917 | Automated safety check: Notes | Apache-2.0 | 26 days ago |
| 107 | Extend, test, debug, or integrate the Model Download microservice codebase. | open-edge-platform/ | 169 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 108 | Download and convert AI models using the Model Download microservice. | open-edge-platform/ | 169 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | today |
| 109 | Interactively guide setup for connecting the Claude Code CLI to a local Ollama LLM on Mac. | receptron/ | 368 | — | ~1.9k | Automated safety check: Notes | MIT | today |
| 110 | 110.Opencode Runner Run coding tasks via opencode using free cloud models. An agent skill from luongnv89/skills. | luongnv89/ | 131 | — | ~4.5k | Automated safety check: Notes | MIT | today |
| 111 | Cross-engine decision rubric for self-hosting or recommending an LLM serving stack. | agentsope/ | 466 | — | ~6.1k | Automated safety check: Pass | MIT | yesterday |
| 112 | 112.Local RAG 本地向量知识库,支持按项目管理文档(docx/doc/pdf/md),语义检索。默认用硅基流动免费 API,零模型安装即可使用。支持多项目隔离、中文制度文档专用切片、Embedding+Rerank 两阶段检索。触发词:知识库、向量检索、RAG、制度检索、文档入库、语义搜索、local… | nigo81/ | 133 | — | ~1.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 113 | 113.Engine Ollama Reuse what Ollama already has on this computer: adopt a running Ollama server into the person's fleet, or serve an Ollama-downloaded model without Ollama. | autonomous-ai/ | 1.2k | — | ~2.2k | Automated safety check: Notes | MIT | today |
| 114 | 114.Local Models Run quick, offline, private LLM tasks on local models via llama.cpp, reusing models already downloaded by Ollama. | glebis/ | 390 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 115 | 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 Q4KM、64K/128K 长上下文、QAT Q40 @ 256K、左右对比演示之间选择,配置 tmux… | majiayu000/ | 287 | — | ~875 | Automated safety check: Notes | MIT | yesterday |
| 116 | 116.LLM Integration LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. | yonatangross/ | 290 | — | ~2.7k | Automated safety check: Pass | MIT | today |
| 117 | 117.Run Model Eval A skill your agent uses when running the Eval-v1 agent-reliability benchmark (packages/web/eval) — benchmarking a newly released Ollama Cloud model, re-running or adding scenarios, refreshing the… | heypinchy/ | 182 | — | ~2k | Automated safety check: Pass | AGPL-3.0 | 19 days ago |
| 118 | 118.Add Ollama Tool Add Ollama MCP server so the container agent can call local models for cheaper/faster tasks like summarization, translation, or general queries. | sbusso/ | 194 | — | ~1.1k | Automated safety check: Notes | MIT | 1 mo ago |
| 119 | Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring). | glebis/ | 390 | — | ~841 | Automated safety check: Pass | MIT | yesterday |
| 120 | 120.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… | glebis/ | 390 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 121 | 121.Forkmind A skill your agent uses when debugging, comparing, or regression-testing LLM / agent calls — when the user wants to capture LLM traffic, see a conversation as a branchable DAG, fork an alternative… | ccplugins/ | 970 | — | ~868 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 122 | 122.Ollama Setup Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Notes | MIT | yesterday |
| 123 | 123.Model Researcher Add new/custom AI models to opencode.json. An agent skill from IgorWarzocha/Opencode-Workflows. | IgorWarzocha/ | 122 | — | ~2.2k | Automated safety check: Pass | No licence | 8 mo ago |
| 124 | This skill should be used when the user asks about "local models", "custom models", "fine-tuning", "self-hosting models", "model selection", "which model should I use", "data privacy and models"… | Habitat-Thinking/ | 114 | — | ~1k | Automated safety check: Pass | Unknown | 19 days ago |
| 125 | 125.Pp Ollama Cloud Routes every prompt to the right hosted Ollama model. An agent skill from mvanhorn/printing-press-library. | mvanhorn/ | 2.1k | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | today |
| 126 | Deploy and maintain image understanding (OCR + local VLM + cloud VL) and image generation for Codex connected to text-only models like DeepSeek. | aiskillstore/ | 430 | — | ~814 | Automated safety check: Notes | MIT | today |
| 127 | 127.Huggingface A skill your agent uses 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… | ericrisco/ | 174 | — | ~2.6k | Automated safety check: Pass | MIT | 2 days ago |
| 128 | 128.Ollama A skill your agent uses when running open-weight LLMs locally with Ollama — pulling and tagging models, calling the local API, picking a quantization or GGUF, writing Modelfiles, and sizing VRAM and… | ericrisco/ | 174 | — | ~2.8k | Automated safety check: Pass | MIT | 2 days ago |
| 129 | A skill your agent uses when calling open-weight LLMs on Together AI or Fireworks AI's OpenAI-compatible endpoints — baseurl plus namespaced model id, the cheapest model that clears the bar… | ericrisco/ | 174 | — | ~3.3k | Automated safety check: Pass | MIT | 2 days ago |
| 130 | 130.Vllm Operate, configure, benchmark, and troubleshoot vLLM inference servers: Docker and Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), OpenAI-compatible API… | magnus919/ | 116 | — | ~4.1k | Automated safety check: Notes | MIT | yesterday |
| 131 | Summarizes arbitrarily long text (1k-1M words) using recursive map-reduce with any LLM backend. | swyxio/ | 175 | — | ~6.3k | Automated safety check: Pass | MIT | 4 days ago |
| 132 | 132.AI Model Router Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones). | LeoYeAI/ | 2.2k | — | ~811 | Automated safety check: Pass | MIT | 2 mo ago |
| 133 | 133.Issueflow Build Run the /build slash command: rebuild the graphify knowledge graph for the project (graphify-out/graph.html, GRAPHREPORT.md, graph.json) by shelling out to issue-flow build (or graphify directly). | jepegit/ | 110 | — | ~977 | Automated safety check: Pass | MIT | 3 days ago |
| 134 | 134.Local LLM Router Route AI coding queries to local LLMs in air-gapped networks. | hoodini/ | 282 | — | ~20k | Automated safety check: Pass | No licence | 3 mo ago |
| 135 | 135.Neolata Mem Graph-native memory engine for AI agents — hybrid vector+keyword search, biological decay, Zettelkasten linking, trust-gated conflict resolution, explainability, episodes, compression & consolidation. | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 136 | 136.Model Discovery Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models. | aiskillstore/ | 430 | — | ~1.9k | Automated safety check: Pass | No licence | today |
| 137 | Reference guide for using external AI models via claudish CLI. | MadAppGang/ | 285 | — | ~1.3k | Automated safety check: Pass | MIT | 6 mo ago |
| 138 | Select appropriate Ollama models for processing sensitive but legal content. | divinevideo/ | 266 | — | ~1.3k | Automated safety check: Pass | MPL-2.0 | today |
| 139 | 139.Tmux Agents Manage background coding agents in tmux sessions. An agent skill from sundial-org/awesome-openclaw-skills. | sundial-org/ | 663 | — | ~933 | Automated safety check: Pass | No licence | 7 mo ago |
| 140 | 140.Open Weights A skill your agent uses when choosing an open-weight LLM and clearing it for use — which family and size fit the task, the hardware and the budget, and above all whether the license permits shipping. | ericrisco/ | 174 | — | ~4.1k | Automated safety check: Pass | MIT | 2 days ago |
| 141 | 141.Unsloth A skill your agent uses when fine-tuning an open-weight LLM fast on ONE GPU with low VRAM — Unsloth's fast model loaders with 4-bit QLoRA and the trl trainer, response-only loss masking so the… | ericrisco/ | 174 | — | ~3.6k | Automated safety check: Pass | MIT | 2 days ago |
| 142 | 142.Vllm A skill your agent uses when self-hosting an open-weight LLM for high-throughput concurrent serving with vLLM — running an OpenAI-compatible endpoint, splitting a model across GPUs with tensor or… | ericrisco/ | 174 | — | ~3.6k | Automated safety check: Pass | MIT | 2 days ago |
| 143 | Delegates tasks to a locally served Muse Glimmer via ollama. | athola/ | 341 | — | ~988 | Automated safety check: Notes | MIT | 3 days ago |
| 144 | 144.Llama Cpp Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems. | magnus919/ | 116 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |