Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install ruvnet-ruflo-plugins-ruflo-neural-trader-skills-trader-regimegit clone https://github.com/ruvnet/ruflo.gitcp ruflo/SKILL.MD ~/.claude/skills/ruvnet-ruflo-plugins-ruflo-neural-trader-skills-trader-regime/SKILL.md---
name: trader-regime
description: Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
allowed-tools: Bash Read mcp__claude-flow__memory_store mcp__claude-flow__memory_search mcp__claude-flow__neural_predict
argument-hint: "[--symbol SPY] [--symbols AAPL,MSFT]"
---
Detect the current market regime using neural-trader's regime detection engine.
Steps:
1. Ensure neural-trader is available:
`npm ls neural-trader 2>/dev/null || npm install neural-trader`
2. Run regime detection:
```bash
npx neural-trader --regime-detect --symbol TICKER
```
For multiple symbols:
```bash
npx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN"
```
3. Get technical indicators for context:
```bash
npx neural-trader --symbol TICKER --indicators rsi,macd,bollinger,adx,atr
```
4. Use SONA for regime prediction:
`mcp__claude-flow__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })`
5. Search for similar historical regimes:
`mcp__claude-flow__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })`
6. Present: regime classification, confidence, recommended strategy type, historical precedents
7. Store analysis:
`mcp__claude-flow__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })`