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Use this skill whenever the user says \"10-K\", \"10-Q\", \"earnings\", \"revenue of\", \"financials for\", \"analyst rating for\", \"price target for\", or provides a stock ticker. Combines SEC EDGAR for official filings with Yahoo Finance \u002F TipRanks for analyst data. Search + scrape only; no interact needed.\ncategory: Research\n---\n\n# Financial Research\n\nExtract official financials from SEC filings and cross-reference with analyst consensus. Public companies only.\n\n## When to use\n\n- User asks for a company's financials: \"revenue of NVIDIA\", \"Apple's latest 10-K\"\n- User asks for analyst sentiment: \"what are analysts saying about TSLA?\"\n- User provides a ticker with no clear verb: \"MSFT\" → assume they want a financial overview\n- User wants an earnings summary before or after a release\n\nDo NOT use for private company research, crypto, or macro\u002Fmarket commentary — `deep-research` handles those better.\n\n## Strategy\n\n1. **Resolve the ticker.**\n   - User gave a ticker: use it directly.\n   - User gave a company name: search `\"\u003Ccompany> stock ticker\"` and confirm from the top result.\n\n2. **Get the latest SEC filing.**\n   - Use the [sec.gov](sites\u002Fsec-gov.md) playbook to locate the most recent 10-K (annual) or 10-Q (quarterly).\n   - Scrape the filing index page, then the primary filing document.\n   - Extract: revenue, net income, operating income, EPS (basic and diluted), gross margin, forward guidance if given.\n\n3. **Get analyst consensus.**\n   - Use the [finance.yahoo.com](sites\u002Fyahoo-finance.md) playbook for the analyst tab.\n   - Extract: consensus rating, average \u002F low \u002F high price target, number of analysts covering.\n\n4. **Cross-reference.**\n   - If the user asked for a specific metric, verify it against at least two sources.\n   - Flag discrepancies between the filing and third-party aggregators.\n\n5. **Call `formatOutput`** with the structured result.\n\n## Quick start\n\n```typescript\n\u002F\u002F Full financial overview\nawait agent.run({\n  prompt: 'Get a complete financial overview of NVIDIA',\n  skills: ['financial-research'],\n  format: 'json',\n})\n```\n\n```typescript\n\u002F\u002F Specific metric\nawait agent.run({\n  prompt: 'What was AAPL revenue in the most recent quarter?',\n  skills: ['financial-research'],\n})\n```\n\n```typescript\n\u002F\u002F Earnings preparation for multiple tickers — delegate per-ticker\nawait agent.run({\n  prompt: 'Get the latest reported revenue, EPS, and guidance for NVDA, AMD, and INTC',\n  skills: ['financial-research'],\n  format: 'json',\n})\n```\n\n## Output schema\n\n```json\n{\n  \"ticker\": \"NVDA\",\n  \"company\": \"NVIDIA Corporation\",\n  \"fiscalPeriod\": \"FY2026 Q4 ended 2026-01-26\",\n  \"filing\": {\n    \"type\": \"10-K\",\n    \"url\": \"https:\u002F\u002Fwww.sec.gov\u002F...\",\n    \"filedDate\": \"2026-02-21\"\n  },\n  \"financials\": {\n    \"revenue\": null,\n    \"netIncome\": null,\n    \"operatingIncome\": null,\n    \"epsBasic\": null,\n    \"epsDiluted\": null,\n    \"grossMargin\": null,\n    \"unit\": \"USD millions\"\n  },\n  \"guidance\": \"\",\n  \"analyst\": {\n    \"rating\": \"Strong Buy\",\n    \"priceTarget\": { \"average\": null, \"low\": null, \"high\": null },\n    \"numAnalysts\": null,\n    \"sourceUrl\": \"\"\n  },\n  \"sources\": []\n}\n```\n\n## Tips\n\n- **SEC EDGAR is the source of truth for the numbers.** Yahoo and aggregators can lag or be wrong. 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If a number in the 10-K disagrees with Yahoo, trust EDGAR.",{"type":40,"tag":65,"props":1488,"children":1489},{},[1490,1495,1497,1502],{"type":40,"tag":113,"props":1491,"children":1492},{},[1493],{"type":45,"value":1494},"Watch the fiscal calendar.",{"type":45,"value":1496}," NVIDIA, Apple, and others don't use calendar quarters — always capture the exact ",{"type":40,"tag":91,"props":1498,"children":1500},{"className":1499},[],[1501],{"type":45,"value":794},{"type":45,"value":1503}," the numbers apply to.",{"type":40,"tag":65,"props":1505,"children":1506},{},[1507,1512,1514,1520],{"type":40,"tag":113,"props":1508,"children":1509},{},[1510],{"type":45,"value":1511},"Units matter.",{"type":45,"value":1513}," SEC filings report in millions or thousands with a table-header note. Capture ",{"type":40,"tag":91,"props":1515,"children":1517},{"className":1516},[],[1518],{"type":45,"value":1519},"financials.unit",{"type":45,"value":1521}," so downstream consumers don't multiply by the wrong power of 10.",{"type":40,"tag":65,"props":1523,"children":1524},{},[1525,1530,1532,1538,1540,1545],{"type":40,"tag":113,"props":1526,"children":1527},{},[1528],{"type":45,"value":1529},"Don't fabricate analyst data.",{"type":45,"value":1531}," If Yahoo's analyst page 404s or loads empty, set ",{"type":40,"tag":91,"props":1533,"children":1535},{"className":1534},[],[1536],{"type":45,"value":1537},"analyst.rating",{"type":45,"value":1539}," to null and note it in ",{"type":40,"tag":91,"props":1541,"children":1543},{"className":1542},[],[1544],{"type":45,"value":1445},{"type":45,"value":1546},". 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Use this skill whenever the user says \"compare X vs Y\", \"how does X stack up against Y\", \"alternatives to X\", \"competitive landscape of …\", \"X vs Y vs Z\", or asks for a competitor matrix. Uses search to discover competitors when the user only names a category, then scrape for each competitor's homepage, pricing page, and features\u002Fdocs. Returns a normalized comparison matrix as JSON.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1619,1622,1623],{"name":1620,"slug":1621,"type":15},"Competitive Intelligence","competitive-intelligence",{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},"2026-04-17T05:00:44.623049",{"slug":96,"name":96,"fn":1626,"description":1627,"org":1628,"tags":1629,"stars":23,"repoUrl":24,"updatedAt":1635},"conduct multi-source deep research","Multi-source research with source triangulation and fact-checking. Use for any research task requiring 3+ sources.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1630,1631,1634],{"name":9,"slug":8,"type":15},{"name":1632,"slug":1633,"type":15},"Knowledge Management","knowledge-management",{"name":13,"slug":14,"type":15},"2026-04-17T05:00:45.852512",{"slug":1637,"name":1637,"fn":1638,"description":1639,"org":1640,"tags":1641,"stars":23,"repoUrl":24,"updatedAt":1648},"e-commerce","extract product data from e-commerce sites","Navigate e-commerce sites to extract products, pricing, categories, and inventory. Handles pagination, variants, and JS-heavy storefronts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1642,1644,1645],{"name":1643,"slug":1637,"type":15},"E-commerce",{"name":9,"slug":8,"type":15},{"name":1646,"slug":1647,"type":15},"Web Scraping","web-scraping","2026-05-15T06:15:30.880268",{"slug":4,"name":4,"fn":5,"description":6,"org":1650,"tags":1651,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1652,1653,1654,1655],{"name":17,"slug":18,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"name":20,"slug":21,"type":15},{"slug":1657,"name":1657,"fn":1658,"description":1659,"org":1660,"tags":1661,"stars":23,"repoUrl":24,"updatedAt":1668},"pricing-tracker","track and compare vendor pricing tiers","Extract and normalize pricing tiers from any SaaS, API, cloud, or LLM vendor's pricing page. Use this skill whenever the user says \"pricing for X\", \"how much does X cost\", \"pricing tiers\", \"cost comparison\", provides a URL ending in `\u002Fpricing` or `\u002Fplans`, or asks to monitor pricing over time. Pairs well with `exportSkill` to turn a run into a cron-friendly workflow. Scrape-driven; no interact needed for typical pricing pages.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1662,1663,1664,1665],{"name":1620,"slug":1621,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"name":1666,"slug":1667,"type":15},"SaaS","saas","2026-04-17T05:00:43.349332",{"slug":1592,"name":1592,"fn":1670,"description":1671,"org":1672,"tags":1673,"stars":23,"repoUrl":24,"updatedAt":1679},"extract structured data from websites","Extract structured data matching a JSON schema from websites. Handles complex nested schemas, arrays, pagination, and validation. Always outputs via formatOutput.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1674,1677,1678],{"name":1675,"slug":1676,"type":15},"Data Engineering","data-engineering",{"name":9,"slug":8,"type":15},{"name":1646,"slug":1647,"type":15},"2026-05-15T06:15:32.092034",{"items":1681,"total":1803},[1682,1688,1694,1700,1707,1714,1720,1735,1747,1764,1779,1791],{"slug":1603,"name":1603,"fn":1615,"description":1616,"org":1683,"tags":1684,"stars":23,"repoUrl":24,"updatedAt":1624},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1685,1686,1687],{"name":1620,"slug":1621,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"slug":96,"name":96,"fn":1626,"description":1627,"org":1689,"tags":1690,"stars":23,"repoUrl":24,"updatedAt":1635},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1691,1692,1693],{"name":9,"slug":8,"type":15},{"name":1632,"slug":1633,"type":15},{"name":13,"slug":14,"type":15},{"slug":1637,"name":1637,"fn":1638,"description":1639,"org":1695,"tags":1696,"stars":23,"repoUrl":24,"updatedAt":1648},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1697,1698,1699],{"name":1643,"slug":1637,"type":15},{"name":9,"slug":8,"type":15},{"name":1646,"slug":1647,"type":15},{"slug":4,"name":4,"fn":5,"description":6,"org":1701,"tags":1702,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1703,1704,1705,1706],{"name":17,"slug":18,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"name":20,"slug":21,"type":15},{"slug":1657,"name":1657,"fn":1658,"description":1659,"org":1708,"tags":1709,"stars":23,"repoUrl":24,"updatedAt":1668},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1710,1711,1712,1713],{"name":1620,"slug":1621,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"name":1666,"slug":1667,"type":15},{"slug":1592,"name":1592,"fn":1670,"description":1671,"org":1715,"tags":1716,"stars":23,"repoUrl":24,"updatedAt":1679},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1717,1718,1719],{"name":1675,"slug":1676,"type":15},{"name":9,"slug":8,"type":15},{"name":1646,"slug":1647,"type":15},{"slug":1721,"name":1721,"fn":1722,"description":1723,"org":1724,"tags":1725,"stars":1732,"repoUrl":1733,"updatedAt":1734},"firecrawl-company-directories","extract company directories with Firecrawl","Extract structured company lists from directories with Firecrawl. Use for scraping YC, Crunchbase, Product Hunt, G2, startup directories, category directories, or custom company databases into JSON, CSV, CRM-ready lists, or research tables.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1726,1729,1730,1731],{"name":1727,"slug":1728,"type":15},"Automation","automation",{"name":1675,"slug":1676,"type":15},{"name":9,"slug":8,"type":15},{"name":1646,"slug":1647,"type":15},99,"https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Ffirecrawl-workflows","2026-06-30T07:02:21.468",{"slug":1736,"name":1736,"fn":1737,"description":1738,"org":1739,"tags":1740,"stars":1732,"repoUrl":1733,"updatedAt":1734},"firecrawl-competitive-intel","monitor competitor product changes with Firecrawl","Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1741,1742,1743,1746],{"name":1620,"slug":1621,"type":15},{"name":9,"slug":8,"type":15},{"name":1744,"slug":1745,"type":15},"Marketing","marketing",{"name":1646,"slug":1647,"type":15},{"slug":1748,"name":1748,"fn":1749,"description":1750,"org":1751,"tags":1752,"stars":1732,"repoUrl":1733,"updatedAt":1734},"firecrawl-dashboard-reporting","pull metrics from analytics dashboards","Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1753,1756,1759,1760,1763],{"name":1754,"slug":1755,"type":15},"Analytics","analytics",{"name":1757,"slug":1758,"type":15},"Dashboards","dashboards",{"name":9,"slug":8,"type":15},{"name":1761,"slug":1762,"type":15},"Reporting","reporting",{"name":1646,"slug":1647,"type":15},{"slug":1765,"name":1765,"fn":1766,"description":1767,"org":1768,"tags":1769,"stars":1732,"repoUrl":1733,"updatedAt":1734},"firecrawl-deep-research","conduct deep research with Firecrawl","Produce an intensive, cited analytical report: executive summary, multi-angle\nfindings, contrarian views, open questions, and full sources. Use only when the\nuser needs rigorous synthesis of a complex topic (scientific, technical, policy,\nor market-analytical) that cannot be answered with a short search, and wants\na formal written report, not a recommendation list.\n\nDo not use for product picks, top-N lists, quick lookups, or routine \"find out\nabout X\" tasks. If the request does not clearly need this kind of report, do\nnot use this skill.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1770,1771,1774,1775,1778],{"name":9,"slug":8,"type":15},{"name":1772,"slug":1773,"type":15},"Firecrawl Research","firecrawl-research",{"name":13,"slug":14,"type":15},{"name":1776,"slug":1777,"type":15},"Summarization","summarization",{"name":1646,"slug":1647,"type":15},{"slug":1780,"name":1780,"fn":1781,"description":1782,"org":1783,"tags":1784,"stars":1732,"repoUrl":1733,"updatedAt":1734},"firecrawl-demo-walkthrough","generate product walkthroughs with Firecrawl","Walk through a product's key flows with Firecrawl browser and produce a structured UX\u002Fproduct walkthrough. Use for signup, onboarding, pricing, docs, dashboard, product demo prep, UX teardown, and first-run experience analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1785,1786,1787,1790],{"name":1727,"slug":1728,"type":15},{"name":9,"slug":8,"type":15},{"name":1788,"slug":1789,"type":15},"UX Design","ux-design",{"name":1646,"slug":1647,"type":15},{"slug":1792,"name":1792,"fn":1793,"description":1794,"org":1795,"tags":1796,"stars":1732,"repoUrl":1733,"updatedAt":1734},"firecrawl-knowledge-base","build knowledge bases from web content","Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1797,1798,1799,1800],{"name":1675,"slug":1676,"type":15},{"name":9,"slug":8,"type":15},{"name":1632,"slug":1633,"type":15},{"name":1801,"slug":1802,"type":15},"Search","search",36]