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Expert knowledge for Ollama — running LLMs locally, the native and OpenAI-compatible APIs, model storage, and custom models via Modelfiles. Use when running local models, calling the Ollama API, managing model storage, or authoring Modelfiles.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Expert knowledge for the darkmatter Rust library - Markdown parsing, composition, frontmatter, terminal/HTML/Markdown rendering, style frontmatter, syntax highlighting, document comparison, and disclosure blocks. Use when parsing or composing Markdown, rendering Markdown to terminal/HTML/Markdown, working with DarkmatterPage, `style:` frontmatter, frontmatter hashing, disclosure blocks (`::disclosure` / `::details` / `::end-disclosure`), or comparing documents.
Use when working in the claudine/ package area or with the Claudine library/CLI — normalizing agentic-CLI lifecycle events and hooks, wrapping providers (Claude Code, Codex, Gemini, Goose, Kimi, OpenCode, Qwen, Kilo, Pi, Antigravity), composing Markdown prompts (compose/inline-compose/sequence), managing the MCP catalog, linking skills/commands/agents across providers, or researching agentic CLI platform behavior.
Expert knowledge for the unchained-ai LLM pipeline library including pipeline primitives, provider registry, model catalogs, rig-core integration, code generation, and agent status monitoring. Use when working in unchained-ai/, building LLM pipelines, adding providers/models, implementing pipeline steps, running the model generator, or querying agentic platform limits.
Expert knowledge for the Agent Client Protocol (ACP) and its underlying JSON-RPC standard, with Rust and TypeScript libraries. Use when implementing or integrating ACP, building an ACP client or agent, or devising strategies for interacting with agentic CLI providers (Claude Code, Codex, Kimi Code, OpenCode, Gemini CLI) over ACP.
Configuring models in agentic CLIs — adding local or cloud models to Claude Code, Codex, Gemini CLI, Goose, Kimi Code, OpenCode, Qwen Code, Pi, or Kilo Code. Use when wiring a local runner (Ollama, LM Studio, oMLX, llama.cpp, vLLM) into an agentic CLI, redirecting a provider's base URL (ANTHROPIC_BASE_URL, OPENAI_BASE_URL, model_providers, provider.<id>.options.baseURL), choosing between OpenAI-compatible and Anthropic-compatible endpoints, bridging a CLI to a different cloud vendor's models, or working with per-provider model config file shapes and merge semantics.
Detecting, configuring, and wiring local model runners into agentic CLIs. Use when working with Ollama, LM Studio, oMLX, llama.cpp (llama-server), or vLLM; probing which local runners are installed or running; hitting OpenAI-compatible local endpoints (/v1) or Anthropic-compatible /v1/messages; serving local models; or connecting a local model to OpenCode or Claude Code via base URL, ANTHROPIC_BASE_URL/ANTHROPIC_AUTH_TOKEN, or runner-native launch hooks.
SOC 職業分類に基づく
| name | ollama |
| description | Expert knowledge for Ollama — running LLMs locally, the native and OpenAI-compatible APIs, model storage, and custom models via Modelfiles. Use when running local models, calling the Ollama API, managing model storage, or authoring Modelfiles. |
Comprehensive expertise for deploying and managing large language models locally with Ollama, including API integration, storage optimization, and model customization.
# Run a model (pulls if needed)
ollama run llama3
# Pull model explicitly
ollama pull mistral
# List models
ollama list
# Chat completion
curl -X POST http://localhost:11434/api/chat \
-H "Content-Type: application/json" \
-d '{
"model": "llama3",
"messages": [{"role": "user", "content": "Hello!"}],
"options": {"temperature": 0.7, "num_ctx": 4096}
}'
# Point OpenAI clients to localhost
export OPENAI_BASE_URL=http://localhost:11434/v1
export OPENAI_API_KEY=ollama # Can be anything
FROM llama3
PARAMETER temperature 0.7
PARAMETER num_ctx 4096
SYSTEM "You are a helpful assistant."
| OS | Default Path | Environment Variable |
|---|---|---|
| macOS | ~/.ollama/models/ | OLLAMA_MODELS |
| Linux | /usr/share/ollama/.ollama/models/ | OLLAMA_MODELS |
| Windows | %USERPROFILE%\.ollama\models\ | OLLAMA_MODELS |
/api/* endpoints, model lifecycle management/v1/* endpoints| Feature | OpenAI | Ollama |
|---|---|---|
| Execution | Cloud | Local |
| Models | Pre-selected | Pull any model |
| Context Window | Model-dependent | User configurable |
| API Key | Required | Optional/Ignored |
| Streaming Format | SSE with choices | SSE with message |