Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Ollama Local
Manage and use local Ollama models. Use for model management (list/pull/remove), chat/completions, embeddings, and tool-use with local LLMs. Covers OpenClaw sub-agent integration and model selection guidance.
skill openclawclawhub Free
Manage and use local Ollama models. Use for model management (list/pull/remove), chat/completions, embeddings, and tool-use with local LLMs. Covers OpenClaw sub-agent integration and model selection guidance.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/models.md, scripts/ollama.py, scripts/ollama_tools.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- Timverhoogt
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Ollama Local
Work with local Ollama models for inference, embeddings, and tool use.
Configuration
Set your Ollama host (defaults to http://localhost:11434): export OLLAMA_HOST="http://localhost:11434" # Or for remote server: export OLLAMA_HOST="http://192.168.1.100:11434"
Quick Reference
# List models python3 scripts/ollama.py list # Pull a model python3 scripts/ollama.py pull llama3.1:8b # Remove a model python3 scripts/ollama.py rm modelname # Show model details python3 scripts/ollama.py show qwen3:4b # Chat with a model python3 scripts/ollama.py chat qwen3:4b "What is the capital of France?" # Chat with system prompt python3 scripts/ollama.py chat llama3.1:8b "Review this code" -s "You are a code reviewer" # Generate completion (non-chat) python3 scripts/ollama.py generate qwen3:4b "Once upon a time" # Get embeddings python3 scripts/ollama.py embed bge-m3 "Text to embed"
Model Selection
See references/models.md for full model list and selection guide. Quick picks: Fast answers: qwen3:4b Coding: qwen2.5-coder:7b General: llama3.1:8b Reasoning: deepseek-r1:8b
Tool Use
Some local models support function calling. Use ollama_tools.py: # Single request with tools python3 scripts/ollama_tools.py single qwen2.5-coder:7b "What's the weather in Amsterdam?" # Full tool loop (model calls tools, gets results, responds) python3 scripts/ollama_tools.py loop qwen3:4b "Search for Python tutorials and summarize" # Show available example tools python3 scripts/ollama_tools.py tools Tool-capable models: qwen2.5-coder, qwen3, llama3.1, mistral
OpenClaw Sub-Agents
Spawn local model sub-agents with sessions_spawn: # Example: spawn a coding agent sessions_spawn( task="Review this Python code for bugs", model="ollama/qwen2.5-coder:7b", label="code-review" ) Model path format: ollama/<model-name>
Parallel Agents (Think Tank Pattern)
Spawn multiple local agents for collaborative tasks: agents = [ {"label": "architect", "model": "ollama/gemma3:12b", "task": "Design the system architecture"}, {"label": "coder", "model": "ollama/qwen2.5-coder:7b", "task": "Implement the core logic"}, {"label": "reviewer", "model": "ollama/llama3.1:8b", "task": "Review for bugs and improvements"}, ] for a in agents: sessions_spawn(task=a["task"], model=a["model"], label=a["label"])
Direct API
For custom integrations, use the Ollama API directly: # Chat curl $OLLAMA_HOST/api/chat -d '{ "model": "qwen3:4b", "messages": [{"role": "user", "content": "Hello"}], "stream": false }' # Generate curl $OLLAMA_HOST/api/generate -d '{ "model": "qwen3:4b", "prompt": "Why is the sky blue?", "stream": false }' # List models curl $OLLAMA_HOST/api/tags # Pull model curl $OLLAMA_HOST/api/pull -d '{"name": "phi3:mini"}'
Troubleshooting
Connection refused? Check Ollama is running: ollama serve Verify OLLAMA_HOST is correct For remote servers, ensure firewall allows port 11434 Model not loading? Check VRAM: larger models may need CPU offload Try a smaller model first Slow responses? Model may be running on CPU Use smaller quantization (e.g., :7b instead of :30b) OpenClaw sub-agent falls back to default model? Ensure ollama:default auth profile exists in OpenClaw config Check model path format: ollama/modelname:tag
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts
- SKILL.md
- references/models.md
- scripts/ollama_tools.py
- scripts/ollama.py