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llmquant-events

llmquant-events

github.com/llmquantData & databases236489 installsUpdated 22w ago
Repository

About llmquant-events

llmquant-events routes event-driven research for earnings, M&A, and regulatory catalysts. It is intended for workflows that analyze event context while tracking source dates, missing data, and stale inputs.

Key features

  1. 01Routes earnings, M&A, and regulatory workflows
  2. 02Identifies event, issuer, date, and instruments
  3. 03Uses LLMQuant Data when available
  4. 04Flags dates, stale data, and missing inputs
  5. 05Avoids unsupported event-probability conclusions

Use cases

  1. 01Prepare an earnings-event brief
  2. 02Track M&A milestones and deal risks
  3. 03Monitor regulatory or legal catalysts

Install

Copy the command and run it in a terminal.

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

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

Bundled files

References and scripts installed along with SKILL.md.

assets/
.gitkeep
scripts/
.gitkeep
workflows/
earnings-event-brief.md
mna-event-tracker.md
regulatory-risk-monitor.md

Details

From the project README

LLMQuant Events

This category routes event-driven research workflows for earnings, M&A, regulatory catalysts, and event-risk monitoring.

Routing Rules

  1. Identify event type, issuer, asset, date, jurisdiction, affected instruments, and requested output.
  2. Select the closest workflow below.
  3. Open only that workflow and any referenced local resources.
  4. Use LLMQuant Data for filings, prices, options, estimates, news, corporate actions, regulatory records, prediction markets, and macro context.
  5. Report event dates, filing dates, data timestamps, source periods, stale notices, and missing inputs.

Workflow Index

User intentWorkflow
Build an earnings-event brief with setup, expectations, options, and risk cases.workflows/earnings-event-brief.md
Track M&A, deal spread, approvals, financing, and break-risk milestones.workflows/mna-event-tracker.md
Monitor regulatory, legal, policy, antitrust, FDA, or geopolitical event risk.workflows/regulatory-risk-monitor.md

LLMQuant Data Contract

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

  • Retrieve event calendars, corporate actions, filings, news, estimates, transcripts, and issuer profiles.
  • Retrieve price history, options, implied move, event-window returns, volume, volatility, and sentiment.
  • Retrieve M&A terms, deal milestones, financing, regulatory approvals, court dates, and antitrust records when available.
  • Retrieve prediction-market odds, macro releases, policy calendars, and cross-asset context when relevant.

Fallback:

  • If event-specific data is unavailable, name the missing input and avoid event-probability or spread conclusions that depend on it.
  • Do not invent dates, deal terms, legal deadlines, or regulatory decisions.

Comments

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