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/llmquant-crypto

Router skill for LLMQuant crypto workflows. Use when the user needs crypto market regime analysis, token research, perpetual funding, basis, leverage, liquidity, or cross-asset crypto context.

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From plugin
llmquant-skills
23518 skills
Install
$ npx -y skills add LLMQuant/skills --skill llmquant-crypto --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/llmquant-crypto

Context preview

The summary Claude sees to decide when to auto-load this skill.

Router skill for LLMQuant crypto workflows. Use when the user needs crypto market regime analysis, token research, perpetual funding, basis, leverage, liquidity, or cross-asset crypto context.

SKILL.md

llmquant-crypto.SKILL.md
name: llmquant-crypto
description: Router skill for LLMQuant crypto workflows. Use when the user needs crypto market regime analysis, token research, perpetual funding, basis, leverage, liquidity, or cross-asset crypto context.
input_data_source: LLMQuant Data
category: crypto

LLMQuant 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

1. Identify the asset, chain, venue, horizon, benchmark, and requested decision. 2. Select the closest workflow below. 3. Open only that workflow and any referenced local resources. 4. Use LLMQuant Data for crypto prices, liquidity, funding, open interest, on-chain context, macro, ETF, and risk inputs. 5. 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`](workflows/crypto-market-regime.md) | | Build a token or protocol research memo with tokenomics, usage, valuation, and risk evidence. | [`workflows/crypto-token-research.md`](workflows/crypto-token-research.md) | | Monitor perpetual funding, basis, open interest, and leverage crowding. | [`workflows/crypto-perp-funding-monitor.md`](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.
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Ships withllmquant-skills

Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data

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Other skills on llmquant-skills.