earnings-preview

Builds pre-earnings analysis with consensus estimates, scenario tables, and catalyst checklists.

Updated Sep 17, 2026
One-click install
npx skills add https://github.com/hkw2028/toy-project --skill earnings-preview-hkw2028
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: earnings-preview
Source: https://github.com/hkw2028/toy-project/tree/main/.agents/skills/earnings-preview
Command: npx skills add https://github.com/hkw2028/toy-project --skill earnings-preview-hkw2028

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Preparing for a company's quarterly earnings report requires gathering consensus estimates, identifying the metrics that matter, and framing bull/bear scenarios — a time-consuming process that is easy to do inconsistently. This Skill structures that preparation into a repeatable one-page earnings preview. ## Core Features & Use Cases - Consensus Estimate Gathering: Pulls revenue, EPS, and segment-level estimates via web search, noting source and date. - Key Metrics Framework: Builds a sector-specific "what to watch" list covering financial metrics (margins, FCF, guidance) and operational metrics (ARR, same-store sales, backlog, NIM). - Scenario Analysis: Produces a bull/base/bear table with operational drivers, management commentary signals, and historical stock reaction context. - Use Case: Before a company like a SaaS firm reports Q3, ask for an earnings preview to get consensus estimates, the ARR and net retention metrics to watch, three scenarios with stock implications, and a catalyst checklist including the options-implied move. ## Quick Start Ask the assistant to build an earnings preview for a specific company and quarter, such as previewing Q3 earnings for a company you follow.

Frequently Asked Questions about earnings-preview

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prepare an earnings preview for a stock?

Gather consensus revenue and EPS estimates, identify the sector-specific metrics that move the stock, and build bull/base/bear scenarios with price implications. This Skill structures that process into a one-page preview with a catalyst checklist.

What metrics should I watch in an earnings report?

Watch revenue and EPS versus consensus, margins, free cash flow, and forward guidance, plus sector-specific operational metrics. Tech firms hinge on ARR and net retention, retail on same-store sales, and financials on NIM and credit quality.

How do I build bull and bear scenarios for earnings?

Define what must happen operationally for each scenario, the management commentary that would signal it, and how the stock historically reacted to similar prints. Compare your scenarios against the options-implied move to gauge market expectations.

What is the difference between consensus and whisper numbers?

Consensus estimates are published analyst averages, while whisper numbers come from buy-side surveys and often reflect the real bar for a stock reaction. The preview notes the source and date of estimates since consensus figures change over time.

Does this earnings analysis provide investment advice?

No, it organizes publicly available estimates, historical reactions, and scenario frameworks for research preparation. It does not recommend trades; all positioning decisions remain with the user.