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From llmquant-skills
Routes crypto research and trading workflows: market regime analysis, token research memos, and perpetual funding/basis monitoring via LLMQuant Data.
npx claudepluginhub llmquant/skills --plugin llmquant-skillsHow this skill is triggered — by the user, by Claude, or both
Slash command
/llmquant-skills:llmquant-cryptoThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This category routes crypto research and trading-context workflows. It covers market regime, token-level diligence, and perpetual funding or basis monitoring.
Runs a comprehensive multi-agent crypto analysis with phased execution for any cryptocurrency symbol. Useful for market, technical, and sentiment analysis.
Generates long-form crypto research reports via Messari AI. Starts an async job, polls for completion, and returns structured analysis on any crypto topic, asset, or protocol.
Routes hedge-fund and portfolio-manager strategy requests to equity long/short, long-biased, event-driven, macro, quant, or multi-strategy playbooks. Activates when LLMQuant strategy workflows are needed.
Share bugs, ideas, or general feedback.
This category routes crypto research and trading-context workflows. It covers market regime, token-level diligence, and perpetual funding or basis monitoring.
| 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 |
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
Fallback: