Qwen-Ollama
Using Qwen 2.5 models via Ollama for local LLM inference, text analysis, and AI-powered automation
npx skills add majiayu000/claude-skill-registry --skill qwen-ollama-lawless-m-earwig --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Qwen via Ollama Local LLM inference using Qwen 2.5 models through Ollama. Enables text analysis, summarization, code generation, and structured data analysis without cloud dependencies. ## Instructions When helping users with Ollama and Qwen models, follow these guidelines: 1. **Installation First**: Always verify Ollama is installed and the desired model is pulled before attempting API calls 2. **Use Appropriate Model Size**: Recommend qwen2.5:7b for balanced performance (4.7 GB), or smaller/larger based on available resources 3. **Set Proper Timeouts**: Default 120s timeout for analysis tasks, longer for complex generation 4. **Handle Streaming**: Use `"stream": false` for simple cases, streaming for real-time feedback 5. **System Prompts**: Define personality and role in system message for consistent behavior 6. **Validate Responses**: Always check the `done` field and handle partial responses appropriately ## Examples ### Example 1: Basic Installation and Setup ``` User: I want to use Qwen locally for text analysis Claude: I'll help you set up Ollama with Qwen 2.5: 1. Install Ollama service 2. Pull the qwen2.5:7b model (4.7 GB) 3. Verify it's working [Provides installation co
- Instructions
- Examples
- Example 1: Basic Installation and Setup
- Example 2: Rust Integration for Analysis
- Example 3: System Prompt for Personality
- Quick Setup
- Basic API Patterns
- Generate Completion (Simple Text)
- Chat Completion (With Context)
- Rust Client Pattern
- Dependencies
- Client Implementation
- System Prompts Pattern
- Chat API with System Message
Install Ollama curl -fsSL https://ollama.com/install.sh | sh Pull Qwen 2.5 model (7B variant, 4.7 GB) ollama pull qwen2.5:7b Verify installation ollama list systemctl status ollama curl -X POST http://localhost:11434/api/generate \ curl -X POST http://localhost:11434/api/chat \ sudo systemctl start ollama
What does the Qwen-Ollama skill do?
Using Qwen 2.5 models via Ollama for local LLM inference, text analysis, and AI-powered automation
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill qwen-ollama-lawless-m-earwig --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.