About llmquant-crypto
llmquant-crypto routes crypto research and trading-context tasks to workflows for market regimes, token research, and perpetual markets. It emphasizes timestamps, venue coverage, observation windows, and unavailable inputs.
Key features
- 01Crypto market-regime analysis
- 02Token and protocol research workflow
- 03Perpetual funding and basis monitoring
- 04Timestamp and venue-coverage reporting
Use cases
- 01Assess crypto market conditions
- 02Prepare token or protocol research
- 03Monitor perpetual funding and leverage crowding
MCP support
The workflows use LLMQuant Data for crypto market, on-chain, perpetual-market, macro, ETF, and risk inputs when available.
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/llmquant-cryptoin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
assets/.gitkeepscripts/.gitkeepworkflows/crypto-market-regime.mdcrypto-perp-funding-monitor.mdcrypto-token-research.mdDetails
From the project READMELLMQuant Crypto
This category routes crypto research and trading-context workflows. It covers market regime, token-level diligence, and perpetual funding or basis monitoring.
Routing Rules
- Identify the asset, chain, venue, horizon, benchmark, and requested decision.
- Select the closest workflow below.
- Open only that workflow and any referenced local resources.
- Use LLMQuant Data for crypto prices, liquidity, funding, open interest, on-chain context, macro, ETF, and risk inputs.
- Report timestamps, venue coverage, observation windows, stale notices, and unavailable future inputs.
Workflow Index
| User intent | Workflow |
|---|---|
| Diagnose the crypto market regime across BTC, ETH, majors, liquidity, leverage, and macro. | workflows/crypto-market-regime.md |
| Build a token or protocol research memo with tokenomics, usage, valuation, and risk evidence. | workflows/crypto-token-research.md |
| Monitor perpetual funding, basis, open interest, and leverage crowding. | workflows/crypto-perp-funding-monitor.md |
LLMQuant Data Contract
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Retrieve crypto spot prices, OHLCV history, realized volatility, drawdowns, correlations, and liquidity.
- Retrieve perpetual funding, basis, open interest, liquidations, exchange flows, and venue-level timestamps.
- Retrieve token supply, unlock schedules, protocol usage, revenue, TVL, holder concentration, governance, and security-risk context.
- Retrieve macro, rates, liquidity, ETF, and equity-market inputs that affect crypto risk appetite.
Fallback:
- If on-chain, funding, or venue-level data is unavailable, name the missing input and continue only with available price, macro, or user-provided evidence.
- Do not infer live funding, liquidity, TVL, or holder behavior from memory.