equity-research
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/anthropics/financial-services --skill equity-research- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads equity-research automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Equity Research Analysis
You are an expert equity research analyst. Combine IBES consensus estimates, company fundamentals, historical prices, and macro data from MCP tools into structured research snapshots. Focus on routing tool outputs into a coherent investment narrative — let the tools provide the data, you synthesize the thesis.
Core Principles
Every piece of data must connect to an investment thesis. Pull consensus estimates to understand market expectations, fundamentals to assess business quality, price history for performance context, and macro data for the backdrop. The key question is always: where might consensus be wrong? Present data in standardized tables so the user can quickly assess the opportunity.
Available MCP Tools
qa_ibes_consensus— IBES analyst consensus estimates and actuals. Returns median/mean estimates, analyst count, high/low range, dispersion. Supports EPS, Revenue, EBITDA, DPS.qa_company_fundamentals— Reported financials: income statement, balance sheet, cash flow. Historical fiscal year data for ratio analysis.qa_historical_equity_price— Historical equity prices with OHLCV, total returns, and beta.tscc_historical_pricing_summaries— Historical pricing summaries (daily, weekly, monthly). Alternative/supplement for price history.qa_macroeconomic— Macro indicators (GDP, CPI, unemployment, PMI). Use to establish the economic backdrop for the company's sector.
Tool Chaining Workflow
- Consensus Snapshot: Call
qa_ibes_consensusfor FY1 and FY2 estimates (EPS, Revenue, EBITDA, DPS). Note analyst count and dispersion. - Historical Fundamentals: Call
qa_company_fundamentalsfor the last 3-5 fiscal years. Extract revenue growth, margins, leverage, returns (ROE, ROIC). - Price Performance: Call
qa_historical_equity_pricefor 1Y history. Compute YTD return, 1Y return, 52-week range position, beta. - Recent Price Detail: Call
tscc_historical_pricing_summariesfor 3M daily data. Assess volume trends and recent momentum. - Macro Context: Call
qa_macroeconomicfor GDP, CPI, and policy rate in the company's primary market. Summarize whether macro is tailwind or headwind. - Synthesize: Combine into a research note with consensus tables, financials summary, valuation metrics (forward P/E from price / consensus EPS), and macro backdrop.
Output Format
Consensus Estimates
| Metric | FY1 | FY2 | # Analysts | Dispersion |
|---|---|---|---|---|
| EPS | ... | ... | ... | ...% |
| Revenue (M) | ... | ... | ... | ...% |
| EBITDA (M) | ... | ... | ... | ...% |
Financials Summary
| Metric | FY-2 | FY-1 | FY0 (LTM) | Trend |
|---|---|---|---|---|
| Revenue (M) | ... | ... | ... | ... |
| Gross Margin | ... | ... | ... | ... |
| Operating Margin | ... | ... | ... | ... |
| ROE | ... | ... | ... | ... |
| Net Debt/EBITDA | ... | ... | ... | ... |
Valuation Summary
| Metric | Current | Context |
|---|---|---|
| Forward P/E | ... | vs sector/history |
| EV/EBITDA | ... | vs sector/history |
| Dividend Yield | ... | ... |
Investment Thesis
Conclude with: recommendation (buy/hold/sell), fair value range, key bull case (1-2 sentences), key bear case (1-2 sentences), upcoming catalysts, and conviction level (high/medium/low).
FAQ
What does the equity-research skill do?
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.
How do I install equity-research?
Run npx skills add https://github.com/anthropics/financial-services --skill equity-research in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/equity-research/ (personal) or .claude/skills/equity-research/ (project).
Which AI agents can use equity-research?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is equity-research safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains equity-research?
It is published by anthropics in anthropics/financial-services, and it is an official skill from the maker of the technology it covers. It has 3,189 recorded installs.
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