Use Case
Earnings Calendar is a powerful AI agent skill that extends your assistant with new capabilities. This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management. This guide walks you through installing Earnings Calendar, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Earnings Calendar: npx clawhub@latest --dir ~/.claude/skills install earnings-calendar
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to finance & investment to trigger Earnings Calendar
Review the output and refine your prompt for better results
Combine Earnings Calendar with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Earnings Calendar
Help me get started with Earnings Calendar
What can Earnings Calendar do for my finance & investment workflow?
Show me an example of using Earnings Calendar
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install earnings-calendarOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install earnings-calendarβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/earnings-calendar/π‘Extract and place the folder at the path above, then restart your agent.