smart-router
Multi-tier LLM routing achieving 90% FREE tier processing through intelligent task classification.
npx skills add majiayu000/claude-skill-registry --skill smart-router --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.
--- name: smart-router description: Multi-tier LLM routing for cost optimization in the BidDeed.AI ecosystem. Routes tasks to appropriate model tier based on complexity, achieving 90% FREE tier processing. Use when making API calls, selecting models, implementing chat interfaces, or optimizing AI costs. Tiers: FREE (gemini-2.5-flash 1M context), ULTRA_CHEAP (deepseek-v3.2), CHEAP, STANDARD, PREMIUM (claude-sonnet-4), ULTRA (claude-opus-4.5). --- # Smart Router V5 Multi-tier LLM routing achieving 90% FREE tier processing through intelligent task classification. ## Model Tiers | Tier | Model | Context | Cost | Use Case | |------|-------|---------|------|----------| | FREE | gemini-2.5-flash | 1M tokens | $0 | Default, chat, summarization | | ULTRA_CHEAP | deepseek-v3.2 | 128K | ~$0.28/1M | Simple analysis, formatting | | CHEAP | gemini-1.5-pro | 2M | ~$1.25/1M | Long document analysis | | STANDARD | claude-haiku-4.5 | 200K | ~$2.50/1M | Quick reasoning | | PREMIUM | claude-sonnet-4 | 200K | ~$15/1M | Complex analysis | | ULTRA | claude-opus-4.5 | 200K | ~$75/1M | Architecture, critical decisions | ## Routing Logic ```python def route_task(task: dict) -> str: """Route task to appropri
- Model Tiers
- Routing Logic
- Task Classification
- FREE Tier Tasks (Target: 90%)
- ULTRACHEAP Tasks
- PREMIUM/ULTRA Tasks
- Configuration
- Cost Tracking
- Integration Points
- Cost Optimization Metrics
What does the smart-router skill do?
Multi-tier LLM routing achieving 90% FREE tier processing through intelligent task classification.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill smart-router --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.
