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llmquant-data

llmquant-data

github.com/llmquantData & databases236512 installsUpdated 22w ago
Repository

About llmquant-data

llmquant-data routes focused workflows for direct, data-backed research tasks, such as SEC filing review, 13F ownership, and macro snapshots. It emphasizes reported dates and coverage, and separates inference from evidence.

Key features

  1. 0110-K risk and MD&A review
  2. 0213F holder and crowding research
  3. 03U.S. macro snapshots
  4. 04Market-facing macro briefs
  5. 05Date and coverage reporting

Use cases

  1. 01Review a company's 10-K risks
  2. 02Find major 13F holders of a ticker
  3. 03Summarize U.S. macro conditions
  4. 04Draft a brief from macro and market inputs

MCP support

The skill uses LLMQuant Data as its source of external facts. If it or a compatible data MCP is unavailable, the workflow requests user-provided data or identifies missing inputs.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/llmquant/skills --skill llmquant-data

After installing, type/llmquant-datain Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

assets/
.gitkeep
scripts/
.gitkeep
workflows/
10k-risk-review.md
macro-brief.md
ticker-smart-money-holders.md
us-macro-snapshot.md

Details

From the project README

LLMQuant Data

This category routes data-primitive research tasks to focused workflows. Use it when the user needs a direct LLMQuant Data-backed answer before any higher-level strategy or portfolio overlay.

Routing Rules

  1. Identify the user's entity, ticker, macro indicator, period, and requested deliverable.
  2. Select the closest workflow below.
  3. Open only that workflow and any explicitly referenced local resources.
  4. Use LLMQuant Data as the source of external facts.
  5. Report returned dates, filing periods, coverage notices, and missing inputs.

Workflow Index

User intentWorkflow
Review business, risk, and MD&A evidence from a company's 10-K.workflows/10k-risk-review.md
Identify top 13F managers holding a ticker and crowding signals.workflows/ticker-smart-money-holders.md
Build a compact U.S. macro regime snapshot.workflows/us-macro-snapshot.md
Compose a market-facing macro brief from macro, market, and research inputs.workflows/macro-brief.md

LLMQuant Data Contract

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

  • Read SEC filings and specific filing sections such as business, risk factors, and MD&A.
  • Query 13F holder lists, manager holdings, and ownership concentration for a ticker.
  • Retrieve macro indicator snapshots, histories, release dates, and metadata.
  • Retrieve market prices, crypto snapshots, research knowledge, and paper/wiki context when relevant.

Fallback:

  • If LLMQuant Data or a compatible data MCP is unavailable, ask for user-provided data or name the missing inputs.
  • Continue only with retrieved or user-provided evidence and label inference separately.

Comments

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