Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Offline Llama
Manage local Ollama models autonomously with health monitoring, automatic fallback, self-healing, and offline operation without internet dependency.
skill openclawclawhub Free
Manage local Ollama models autonomously with health monitoring, automatic fallback, self-healing, and offline operation without internet dependency.
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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
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
- 1.0.0
Provenance
- Publisher
- and-ray-m
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
offline-llama
Autonomously manage and use local Ollama models for continuous operation without internet dependency. Includes model health monitoring, automatic fallback, and self-healing capabilities.
Overview
This skill enables autonomous operation with local Ollama models. It monitors model health, automatically switches between models when issues occur, and maintains functionality even without internet connectivity. The skill includes self-healing capabilities to restart services and clear resources when needed.
Model Management
Health Monitoring: Continuously check model availability and performance Automatic Fallback: Switch to alternative models when primary fails Model Switching: Dynamically select best available model for task
Self-Healing
Service Restart: Automatically restart Ollama when models become unavailable Resource Management: Clear cache and temporary files to free resources Model Reinstallation: Reinstall problematic models automatically
Connectivity Awareness
Internet Detection: Monitor internet connectivity status Smart Fallback: Switch to remote models when local models unavailable and internet is present Offline Mode: Maintain full functionality without internet
Models
Primary: llama-3.1-8b-instruct (general tasks) Secondary: mistral-7b-instruct (faster responses) Specialized: code-llama-7b (coding tasks)
Health Checks
Model Status: Monitor availability every 30 seconds Latency Tracking: Monitor response times every minute Resource Usage: Monitor GPU/CPU and memory every 5 minutes
Fallback Strategies
Model Switching: Automatically switch to alternative local models Response Retry: Retry failed requests with exponential backoff Degraded Mode: Continue with limited functionality if all models unavailable
When Internet is Available
Use local models primarily Fallback to remote models if local models unavailable Maintain optimal performance
When Internet is Unavailable
Use local models exclusively Continue all operations without interruption Provide degraded functionality if needed
Model Management
model_status - Check current model health switch_model - Manually switch between models restart_ollama - Restart Ollama service
Health Monitoring
check_health - Run comprehensive health check monitor_resources - Monitor system resources clear_cache - Clear model cache and temporary files
Automatic Actions
Service Restart: Triggered when model becomes unavailable Resource Cleanup: Triggered when high memory usage detected Model Reinstallation: Triggered when persistent failures occur
Manual Intervention
Manual Restart: User can manually restart services Cache Clearing: User can manually clear resources Model Updates: User can update models as needed
Security Considerations
All operations performed locally No external dependencies required Secure model management Privacy-preserving by default
Performance Optimization
Resource Monitoring: Track GPU/CPU usage and memory Latency Tracking: Monitor response times and performance Model Selection: Choose optimal model based on task requirements
Regular Tasks
Health Checks: Run periodic health checks Cache Management: Clear unused cache regularly Model Updates: Keep models updated when possible
Troubleshooting
Log Analysis: Monitor logs for issues Performance Metrics: Track performance over time Error Handling: Graceful error handling and recovery
Integration
This skill integrates with: Ollama: Local model management System Resources: Monitor and manage system resources Network: Detect internet connectivity OpenClaw: Seamless integration with existing tools
Future Enhancements
Model Training: Support for custom model training Advanced Routing: Intelligent model selection based on task Multi-GPU Support: Scale across multiple GPUs Cloud Sync: Optional cloud backup and synchronization
License
This skill is part of the OpenClaw ecosystem and follows the same licensing terms as OpenClaw itself.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md