earnings-preview
Pre-earnings analysis: consensus estimates, key metrics to watch, bull/base/bear scenarios
Profile →npx skills add ginlix-ai/LangAlpha --skill earnings-preview --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Earnings Preview description: Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]". ## Workflow ### Step 1: Gather Context - Identify the company and reporting quarter - Use `get_company_overview` tool — includes earnings history (actual vs estimate), analyst consensus, price targets, rating distribution - Use `get_daily_prices` tool for recent price history and to identify the earnings date window - Use `get_sec_filing` tool — auto-attaches earnings call transcript for 10-K/10-Q filings (review prior quarter for guidance or commentary) - Use `WebSearch` / `WebFetch` for recent news and sentiment heading into earnings ### Step 2: Key Metrics Framework Build a "what to watch" framework specific to the company: **Financial Metrics:** - Revenue vs. consensus (total and by segment) - EPS vs. consensus - Margins (gross, operating, net) — expanding or contracting?
- Workflow
- Step 1: Gather Context
- Step 2: Key Metrics Framework
- Step 3: Scenario Analysis
- Step 4: Catalyst Checklist
- Step 5: Output
- Important Notes
What does the earnings-preview skill do?
Pre-earnings analysis: consensus estimates, key metrics to watch, bull/base/bear scenarios
How do I install it?
Run `npx skills add ginlix-ai/LangAlpha --skill earnings-preview --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ginlix-ai/LangAlpha, a repository with 1,604 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.