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    stock deep dive

    1

    Analyst-grade report from any ticker: business and moat, 5-year financials, reported vs normalized P/E with one-offs removed, peers, bear/base/bull DCF, catalysts and risks. Every number sourced.

    Free

    7 uses5.0 (1 review)
    stock deep dive

    stock deep dive

    Example session with this skill installed

    Analyze ASML. Is it cheap or expensive right now?

    • Read your context and instructions
    • Compiled the stock deep dive

    ASML Holding (ASML) - <date>

    Bottom line: wide-moat leader in EUV lithography with high returns on capital; the key debate is the pace of the next chip capex cycle.
    Valuation view: <Undervalued / Fair / Overvalued> - base-case fair value <X> (<+/-%>), range <bear>-<bull>

    MetricValueSource
    P/E reported...[1]
    P/E normalized (one-offs removed)...[1][2]
    EV/EBIT...[3]
    FCF yield...[3]
    Net debt/EBITDA...[1]

    Sections: Business & moat - Financials (5y) - One-offs removed - Peers (AMAT, LRCX, KLAC, TEL) - Bear/Base/Bull DCF with assumptions - Catalysts - Risks - What would change the view - Sources (numbered, dated).

    This is educational analysis, not financial advice.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Stock Deep Analysis provides a structured, evidence-based approach to equity research for developers and analysts. It moves beyond raw financial data to deliver normalized earnings, stripping out one-off impairments, litigation costs, and asset sales to reveal the true recurring P/E. This skill forces the agent to use web search for primary filings like 10-Ks and 20-Fs rather than relying on stale training data.

    What it does

    • Financial Normalization identifies and removes non-recurring items to calculate true underlying P/E and EV/EBITDA.
    • Multi-Scenario DCF builds bear, base, and bull valuation models with explicit growth and discount rate assumptions.
    • Comparative Benchmarking generates peer tables comparing margins, ROIC, and FCF yield against industry rivals.
    • Moat Assessment evaluates competitive advantages like network effects, switching costs, and IP based on historical margin stability.
    • Risk Mapping identifies specific business threats and catalysts, from regulatory shifts to upcoming earnings dates.

    How it works

    1. Identify: Input a ticker to resolve the company, exchange, and reporting currency.
    2. Gather: The agent searches primary sources, SEC filings, and investor presentations for 5-year financial trends.
    3. Normalize: It lists extraordinary items and computes adjusted earnings side-by-side with reported figures.
    4. Valuation: It runs a reverse DCF to determine what growth the market is currently pricing in.

    Frameworks & tools

    This skill utilizes real-time web search capabilities to access SEC EDGAR, investor relations portals, and financial aggregators. It outputs structured Markdown reports with formatted tables for data ingestion or manual review.

    Why this beats prompting it yourself

    Generic prompts often return hallucinated numbers or ignore one-time charges that distort P/E ratios. This skill enforces a strict data-sourcing protocol and normalization logic that mirrors professional equity research workflows.

    Use cases

    • Auditing the recurring earnings of a company after a complex merger or asset sale.
    • Comparing a target stock against its peers using normalized valuation multiples.
    • Identifying the implied growth rate required to justify a current market price.
    • Preparing a summary briefing for an investment committee or personal research.

    Known limitations

    This skill performs educational analysis and does not provide regulated investment advice or position sizing. It requires web search access to retrieve current filings and market data.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Trading & Investing.

    Requires web search access. Analysis is educational only, not financial advice. User must resolve ambiguous tickers if the same symbol exists on multiple exchanges.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

    Reviews

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    This skill has been used 7 times.

    Trust & safety

    Security scan

    Security scan passed 2 days ago

    • Free with an Agensi account

    Permissions

    No special permissions declared or detected

    Listed2 days ago
    Updatedtoday

    What's inside

    Frequently Asked Questions

    Unlike generic AI queries that use training data, this skill mandates a real-time search of SEC filings to identify non-recurring items like litigation settlements or asset sales, providing a 'normalized' P/E ratio that reflects true business performance.

    This skill is designed for any AI agent with web-search capabilities and Markdown rendering; it generates structured reports that can be easily exported to spreadsheets or research documents.

    No complex configuration is needed; once integrated into your agent's environment, you simply provide a ticker symbol to trigger the full deep-dive research and valuation workflow.

    You receive the full equity research logic and structured reporting framework, which includes the multi-scenario DCF engine, peer benchmarking tools, and the risk mapping protocol.

    The skill uses a 'Reverse DCF' methodology, which calculates the specific growth rate the market is currently pricing into a stock, allowing you to decide if that expectation is realistic or overvalued.

    The skill is designed to fetch the most recent 10-K, 10-Q, and 20-F filings available on SEC EDGAR and investor relations portals, ensuring your analysis is based on the latest reported fiscal data.

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