AI EngineeringShell

LLMQuant Crypto

by LLMQuant

LLMQuant Crypto is an AI Engineering skill for Claude Code, published by LLMQuant in skills.

209 stars27 forkson LLMQuant/skillsAdded 2026/09/04Repository updated 2026/05/30
agent-skillsai-agentsclaude-codecodexcursorequity-researchetffinancial-datainvestment-researchllmllm-toolsmacroeconomicsmcpmodel-context-protocolopen-sourceoptions-tradingportfolio-managementquantitative-financerisk-management
Install in seconds
Install LLMQuant Crypto
Copy LLMQuant Crypto into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/LLMQuant/skills/tree/master/skills/llmquant-crypto ~/.claude/skills/llmquant-crypto

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/LLMQuant/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/llmquant-crypto/SKILL.md in LLMQuant/skills
Installs to
~/.claude/skills/llmquant-crypto
Collection
One of 18 skills cataloged from this repository
Category
AI Engineering2970 skills

What LLMQuant Crypto does

LLMQuant Crypto routes crypto research and trading-context workflows for regime analysis, token diligence, and perpetual funding or basis monitoring. Use it when you need crypto market structure, leverage, liquidity, or cross-asset context.

LLMQuant Crypto is cataloged under AI Engineering on DirSkills. LLMQuant Crypto comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.

Documentation

README

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLMQuant Crypto

  • What else does LLMQuant publish alongside LLMQuant Crypto?

    LLMQuant Crypto is one of 18 skills that DirSkills catalogs from LLMQuant/skills, the repository it ships in. Its siblings there include LLMQuant Commodities, LLMQuant Credit and LLMQuant Data. Each one is a separate skill with its own page in this directory, installs the same way LLMQuant Crypto does, and is maintained by LLMQuant in that same repository. The rest of the collection is listed on the LLMQuant/skills page.

  • How does LLMQuant Crypto compare to other AI Engineering skills?

    LLMQuant Crypto ranks #2713 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLMQuant Crypto against them. Open each page to compare what they document and how they install.

More from LLMQuant/skills

LLMQuant Crypto is one of 18 skills cataloged on DirSkills from LLMQuant/skills.

See all 18 skills