edge-router
SolidRoute AI agent compute tasks to the cheapest viable backend. Supports local inference (Ollama), cloud GPU (Vast.ai), and quantum hardware (Wukong 72Q). Use when an agent needs to decide where to run a task, optimize compute costs, check backend availability, or execute workloads across edge/cloud/quantum infrastructure.
Install
Quality Score: 86/100
Skill Content
Details
- Author
- openclaw
- Repository
- openclaw/skills
- Created
- 4 months ago
- Last Updated
- 1 months ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
smart-routing
Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.
openrouter-model-routing
Implement intelligent model routing to optimize cost, quality, and latency on OpenRouter. Use when building multi-model systems or optimizing spend across task types. Triggers: 'openrouter routing', 'model routing', 'route to model', 'model selection openrouter'.
router
Intelligent routing layer that analyzes requests and directs them to the most appropriate Skills, Agents, or Commands
route
Route a task to the best LLM based on task type and complexity
agent-router
任务到 Agent 的智能路由器,根据任务类型、文件路径自动选择最合适的 Agent。 使用场景:subagent-driver 需要为任务选择 Agent、不确定应该使用哪个 Agent