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.