# Send Offline Llama to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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 ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "offline-llama", "name": "Offline Llama", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/and-ray-m/offline-llama", "canonicalUrl": "https://clawhub.ai/and-ray-m/offline-llama", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/offline-llama", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=offline-llama", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "offline-llama", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-02T19:37:12.027Z", "expiresAt": "2026-05-09T19:37:12.027Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=offline-llama", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=offline-llama", "contentDisposition": "attachment; filename=\"offline-llama-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "offline-llama" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/offline-llama" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/offline-llama", "downloadUrl": "https://openagent3.xyz/downloads/offline-llama", "agentUrl": "https://openagent3.xyz/skills/offline-llama/agent", "manifestUrl": "https://openagent3.xyz/skills/offline-llama/agent.json", "briefUrl": "https://openagent3.xyz/skills/offline-llama/agent.md" } } ``` ## 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. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: and-ray-m - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-02T19:37:12.027Z - Expires at: 2026-05-09T19:37:12.027Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/offline-llama) - [Send to Agent page](https://openagent3.xyz/skills/offline-llama/agent) - [JSON manifest](https://openagent3.xyz/skills/offline-llama/agent.json) - [Markdown brief](https://openagent3.xyz/skills/offline-llama/agent.md) - [Download page](https://openagent3.xyz/downloads/offline-llama)