earnings-deep-dive
OfficialPolished post-earnings analyses with evidence.
Authoropenai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Earnings events are noisy and scattered across filings, decks, transcripts, and guidance; this Skill synthesizes them into structured, evidence-backed post-earnings analyses to support investment decisions.
Core Features & Use Cases
- Generates executive overviews, tear sheets, and deep-dive reports from filings, transcripts, and guidance data.
- Provides EPS quality screening, transcript Q&A mapping, and a model-diff-ready artifact workflow for auditability.
- Supports deterministic plan execution and dashboard handoffs for investor-facing outputs.
Quick Start
Analyze the latest quarterly results plan.json to produce a polished post-earnings report, including an ExecutiveOverview, TearSheet, and DeepDive.
Dependency Matrix
Required Modules
pandasopenpyxlpython-dateutil
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: earnings-deep-dive Download link: https://github.com/openai/role-specific-plugins/archive/main.zip#earnings-deep-dive Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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