Builds pre-earnings previews for companies with consensus estimates, key metrics, bull/base/bear scenarios, catalyst checklists, and trading setups.
From equity-researchnpx claudepluginhub anthropics/financial-services-plugins --plugin equity-researchThis skill uses the workspace's default tool permissions.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
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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]".
Build a "what to watch" framework specific to the company:
Financial Metrics:
Operational Metrics (sector-specific):
Build 3 scenarios with stock price implications:
| Scenario | Revenue | EPS | Key Driver | Stock Reaction |
|---|---|---|---|---|
| Bull | ||||
| Base | ||||
| Bear |
For each scenario:
Identify the 3-5 things that will determine the stock's reaction:
One-page earnings preview with: