llmquant/skills

llmquant-market-intelligence

Router skill for LLMQuant market-intelligence workflows. Use when the user needs macro views, market sentiment dashboards, or event probability signals.

First seen May 30, 2026

Installation

$ npx skills add llmquant/skills --skill llmquant-market-intelligence

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 212
License LICENSE
Default branch master
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,820 B
  • docs SUMMARY.md 188 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 421 installs

SKILL.md

LLMQuant Market Intelligence

This category contains reusable market utility workflows that can support research, trading, and portfolio decisions.

Routing Rules

  1. Identify whether the user needs macro context, sentiment, or event probability evidence.
  2. Select one workflow from the index.
  3. Open only the selected workflow.
  4. Use LLMQuant Data for all market, macro, event, options, and sentiment inputs.
  5. Report dates, data windows, stale notices, and missing future data contracts.

Workflow Index

User intent Workflow
Track cross-asset macro indicators and likely portfolio impact. [workflows/macro-view.md](workflows/macro-view.md)
Build a market-wide sentiment dashboard. [workflows/market-sentiment.md](workflows/market-sentiment.md)
Compare prediction-market and options-implied event probabilities. [workflows/event-probability-signals.md](workflows/event-probability-signals.md)

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

  • Retrieve macro snapshots, macro histories, and cross-asset market prices.
  • Retrieve crypto market snapshots and broader market sentiment indicators.
  • Compare event probabilities from prediction markets, options-implied pricing, or user-provided probability tables.
  • Track dates, frequencies, market windows, and stale-data notices.

Fallback:

  • If a needed data capability is unavailable, name it explicitly and continue only with available LLMQuant Data or user-provided evidence.