Use Case
Stop doing repetitive finance & investment tasks manually. Earnings Calendar lets your AI agent handle them automatically through natural conversation. 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 shows practical examples of using Earnings Calendar to automate common finance & investment workflows and save hours every week.
Install Earnings Calendar: npx clawhub@latest --dir ~/.claude/skills install earnings-calendar
Identify the repetitive finance & investment tasks you want to automate
Describe the task to your AI in plain English
Earnings Calendar will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Earnings Calendar
Automate my finance & investment tasks using Earnings Calendar
What repetitive tasks can Earnings Calendar handle for me?
Set up a workflow that runs Earnings Calendar every morning
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.