[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-tearsheet":3,"mdc-x0kskt-key":33,"related-org-openai-tearsheet":774,"related-repo-openai-tearsheet":981},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":28,"sourceUrl":31,"mdContent":32},"tearsheet","generate company overview snapshots","Quick one-page company overview and snapshot",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19],{"name":13,"slug":14,"type":15},"Research","research","tag",{"name":17,"slug":18,"type":15},"Reporting","reporting",{"name":20,"slug":21,"type":15},"Summarization","summarization",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102",null,465,[],{"repoUrl":23,"stars":22,"forks":26,"topics":29,"description":30},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fdaloopa\u002Fskills\u002Ftearsheet","---\nname: tearsheet\ndescription: Quick one-page company overview and snapshot\n---\n\nGenerate a concise company tearsheet for the company specified by the user named in the user's request. If no ticker or company is provided, ask for one before proceeding.\n\nThis should be a quick, one-page overview — the kind of snapshot an analyst pulls up before a meeting.\n\n**Before starting, read `..\u002Fdata-access.md` for data access methods and `..\u002Fdesign-system.md` for formatting conventions.** Follow the data access detection logic and design system throughout this skill.\n\nFollow these steps:\n\n## 1. Company Lookup\nLook up the company by ticker using `discover_companies`. Capture:\n- `company_id`\n- `latest_calendar_quarter` — anchor for all period calculations below (see `..\u002Fdata-access.md` Section 1.5)\n- `latest_fiscal_quarter`\n- Firm name for report attribution (default: \"Daloopa\") — see `..\u002Fdata-access.md` Section 4.5\n\n## 1b. Current Stock Price\nGet the current stock price using `get_stock_prices` (see `..\u002Fdata-access.md` Section 1.7). Pass `company_id` and `dates` for the 3 most recent calendar days — use the most recent returned close price. Include the price, date, and a simple context line (e.g., 52-week range or YTD change if you have enough history from a quick `start_date`\u002F`end_date` pull of the last 12 months). Display this prominently at the top of the report next to the company name.\n\n## 2. Key Financials\nCalculate periods backward from `latest_calendar_quarter` (8 quarters total: last 4 + year-ago for each to enable YoY):\nPull:\n- Revenue\n- Gross Profit\n- Operating Income\n- EBITDA (if not reported, compute as Operating Income + D&A — label it \"EBITDA (calc.)\" in the report)\n- Net Income\n- Diluted EPS\n- Operating Cash Flow\n- CapEx (Purchases of property, plant and equipment)\n- Free Cash Flow (compute as Operating Cash Flow - CapEx — label it \"FCF (calc.)\" in the report)\n\nFor any derived\u002Fcomputed metric, mark it with \"(calc.)\" so the reader knows it's not directly sourced.\n\n## 3. Key Operating KPIs\nThis section is strictly for **business-driver metrics** — the operational numbers that actually move revenue and earnings. Do NOT put financial statement items (D&A, share count, buybacks, dividends) here — those belong in the financials or capital return sections.\n\nFirst, think about what the most important KPIs are for THIS specific company based on its business model and what drives its valuation. For example:\n- **SaaS\u002Fcloud**: ARR, net revenue retention, RPO\u002FcRPO, customers >$100K, cloud gross margin\n- **Consumer tech**: DAU\u002FMAU, ARPU, engagement metrics, installed base, paid subscribers\n- **E-commerce\u002Fmarketplace**: GMV, take rate, active buyers\u002Fsellers, order frequency\n- **Retail**: same-store sales, store count, average ticket, transactions\n- **Telecom\u002Fmedia**: subscribers, churn, ARPU, content spend\n- **Hardware**: units shipped, ASP, attach rate, installed base, products vs services gross margin split\n- **Financial services**: AUM, NIM, loan growth, credit quality metrics\n- **Pharma\u002Fbiotech**: pipeline stage, patient starts, scripts, market share\n- **Industrials\u002Fenergy**: backlog, book-to-bill, utilization, production volumes\n\nThen search for those specific KPIs by name, plus cast a wider net for anything else Daloopa has. Also search for:\n- Segment\u002Fproduct revenue breakdown\n- Geographic revenue breakdown\n\n**If the company discloses few operational KPIs** (e.g., Apple stopped reporting iPhone units in 2019), acknowledge the disclosure gap explicitly rather than padding the section with financial metrics. A short note like \"Apple does not disclose unit volumes or ASPs; segment revenue is the finest granularity available\" is more informative than showing D&A and buybacks as fake KPIs.\n\n**Always search broadly** — companies often disclose more KPIs than you'd expect. For Apple, beyond segment revenue, Daloopa also has: installed base active devices (~2.5bn), products gross margin vs services gross margin (the mix shift story), and paid subscriptions. These are real operational metrics. Search with keywords like \"installed\", \"active\", \"subscriber\", \"margin\" by segment, not just the obvious financial terms.\n\nPull for the same period as financials.\n\n## 3b. Capital Return\nPull share count, share repurchases, and dividends paid for the same periods. This is a separate section from operating KPIs — it shows how the company is returning cash to shareholders.\n\n## 4. Compute Key Ratios\nShow trend over the last 4 quarters with YoY change for EACH quarter (not just the earliest):\n- Gross Margin %\n- Operating Margin %\n- EBITDA Margin %\n- Net Margin %\n- Revenue Growth (YoY)\n- EPS Growth (YoY)\n\nIf the company has strong seasonality (e.g., retail Q4, back-to-school, etc.), add a brief note flagging it so YoY comparisons are read in context rather than sequential QoQ.\n\n## 5. Recent Developments\nSearch the most recent 2 quarters of filings. Try multiple keyword searches to get coverage:\n- First search: company name + \"results\" or \"record\" for earnings highlights\n- Second search: \"outlook\" or \"guidance\" or \"expect\" for forward-looking commentary\n- Third search: strategy-specific terms relevant to the company (e.g., \"AI\", \"cloud\", \"subscribers\", \"margin\")\n- If a search returns empty, try broader single-keyword searches before giving up\n\nExtract:\n- Business description \u002F what the company does (2-3 sentences)\n- Key recent developments or announcements\n- Management's top priorities or strategic focus areas\n- Any notable management quotes (with document citations)\nKeep this brief — 3-5 bullet points max.\n\n## 6. Five Key Tensions\nIdentify the 5 most critical bull\u002Fbear debates for this stock. Each tension is a single line that frames both sides. Alternate between bullish-leaning and bearish-leaning tensions. Every tension must reference a specific data point from the analysis above.\n\nFormat as a numbered list:\n1. \"[Bullish factor] vs [Bearish factor]\" — cite the specific metric\n2. \"[Bearish factor] vs [Bullish factor]\" — cite the specific metric\n...etc.\n\nThis goes at the top of the report, right after the Company Overview — it gives the reader the bull\u002Fbear framing before they dive into the data.\n\n## 7. News Snapshot\nRun 2 WebSearch queries to gather recent context:\n1. `\"{TICKER} {company_name} news {current_year}\"` — recent headlines\n2. `\"{TICKER} catalysts risks {current_year}\"` — forward-looking events\n\nDistill into **3-5 key events** from the last 6 months, reverse chronological. Each event: date, one-line headline, sentiment tag (Positive \u002F Negative \u002F Mixed \u002F Upcoming). Keep it tight — this is a tearsheet, not a research note.\n\n## 8. What to Watch\nBuild a **Quantitative Monitors** list — 5 metrics with explicit thresholds:\n- Format: \"Metric: current value → bull threshold \u002F bear threshold\"\n- Example: \"Gross Margin: 45.2% → above 46% confirms pricing power \u002F below 43% signals cost pressure\"\n\nChoose the 5 metrics that matter most for THIS company's thesis based on the data you pulled above. These should be actionable — an analyst should be able to check these next quarter and know whether the thesis is intact.\n\n## 9. Save Report\nSave to `reports\u002F{TICKER}_tearsheet.html` using the HTML report template from `..\u002Fdesign-system.md`. Write the full analysis as styled HTML with the design system CSS inlined. This is the final deliverable — no intermediate markdown step needed.\n\nStructure the report with these sections:\n\n```\n\u003Ch1>{Company Name} ({TICKER}) — Tearsheet\u003C\u002Fh1>\n\u003Cp>Generated: {date}\u003C\u002Fp>\n\n\u003Ch2>Company Overview\u003C\u002Fh2>\n{2-3 sentence description from filings}\n\n\u003Ch2>Five Key Tensions\u003C\u002Fh2>\n{numbered list of 5 bull\u002Fbear debates with data citations}\n\n\u003Ch2>Key Financials (Last 4 Quarters)\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Q(oldest) | Q | Q | Q(latest) |\n{table with Daloopa citations; derived metrics marked (calc.)}\n\u003C\u002Ftable>\n\n\u003Ch2>Segment \u002F Geographic Breakdown\u003C\u002Fh2>\n{segment revenue table or geographic revenue table, whichever is more relevant}\n\n\u003Ch2>Key Operating KPIs\u003C\u002Fh2>\n\u003Ctable>\n| KPI | Q(oldest) | Q | Q | Q(latest) |\n{table with Daloopa citations — ONLY business-driver metrics, NOT financial items}\n{if few KPIs available, note the disclosure gap}\n\u003C\u002Ftable>\n\n\u003Ch2>Capital Return\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Q(oldest) | Q | Q | Q(latest) |\n{share count, buybacks, dividends — separate from operating KPIs}\n\u003C\u002Ftable>\n\n\u003Ch2>Margins & Growth\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Q(oldest) | Q | Q | Q(latest) |\n| Gross Margin % | X% | X% | X% | X% |\n| ... | ... | ... | ... | ... |\n| Rev Growth YoY | X% | X% | X% | X% |\n| EPS Growth YoY | X% | X% | X% | X% |\n{each cell shows the YoY change for THAT quarter}\n{note on seasonality if applicable}\n\u003C\u002Ftable>\n\n\u003Ch2>Recent Developments\u003C\u002Fh2>\n\u003Cul>{bullet points from filings with document citations}\u003C\u002Ful>\n\n\u003Ch2>News Snapshot\u003C\u002Fh2>\n{3-5 recent events with date, headline, sentiment tag}\n\n\u003Ch2>What to Watch\u003C\u002Fh2>\n{5 quantitative monitors with current value and bull\u002Fbear thresholds}\n```\n\nAll financial figures must use Daloopa citation format: `\u003Ca href=\"https:\u002F\u002Fdaloopa.com\u002Fsrc\u002F{fundamental_id}\">$X.XX million\u003C\u002Fa>`\n\nTell the user where the HTML report was saved.\n\nGive a 2-3 sentence summary of the company's current state, including an honest assessment: What is the single biggest risk or concern? Does the current valuation (price, implied multiples) seem warranted given the growth trajectory? What would make you cautious about owning this stock?\n",{"data":34,"body":35},{"name":4,"description":6},{"type":36,"children":37},"root",[38,46,51,79,84,91,104,157,163,214,220,232,280,285,291,303,308,401,406,419,429,439,444,450,455,461,466,499,504,510,515,538,543,566,572,577,582,621,626,632,637,662,674,680,692,705,710,716,736,741,753,764,769],{"type":39,"tag":40,"props":41,"children":42},"element","p",{},[43],{"type":44,"value":45},"text","Generate a concise company tearsheet for the company specified by the user named in the user's request. If no ticker or company is provided, ask for one before proceeding.",{"type":39,"tag":40,"props":47,"children":48},{},[49],{"type":44,"value":50},"This should be a quick, one-page overview — the kind of snapshot an analyst pulls up before a meeting.",{"type":39,"tag":40,"props":52,"children":53},{},[54,77],{"type":39,"tag":55,"props":56,"children":57},"strong",{},[58,60,67,69,75],{"type":44,"value":59},"Before starting, read ",{"type":39,"tag":61,"props":62,"children":64},"code",{"className":63},[],[65],{"type":44,"value":66},"..\u002Fdata-access.md",{"type":44,"value":68}," for data access methods and ",{"type":39,"tag":61,"props":70,"children":72},{"className":71},[],[73],{"type":44,"value":74},"..\u002Fdesign-system.md",{"type":44,"value":76}," for formatting conventions.",{"type":44,"value":78}," Follow the data access detection logic and design system throughout this skill.",{"type":39,"tag":40,"props":80,"children":81},{},[82],{"type":44,"value":83},"Follow these steps:",{"type":39,"tag":85,"props":86,"children":88},"h2",{"id":87},"_1-company-lookup",[89],{"type":44,"value":90},"1. Company Lookup",{"type":39,"tag":40,"props":92,"children":93},{},[94,96,102],{"type":44,"value":95},"Look up the company by ticker using ",{"type":39,"tag":61,"props":97,"children":99},{"className":98},[],[100],{"type":44,"value":101},"discover_companies",{"type":44,"value":103},". Capture:",{"type":39,"tag":105,"props":106,"children":107},"ul",{},[108,118,136,145],{"type":39,"tag":109,"props":110,"children":111},"li",{},[112],{"type":39,"tag":61,"props":113,"children":115},{"className":114},[],[116],{"type":44,"value":117},"company_id",{"type":39,"tag":109,"props":119,"children":120},{},[121,127,129,134],{"type":39,"tag":61,"props":122,"children":124},{"className":123},[],[125],{"type":44,"value":126},"latest_calendar_quarter",{"type":44,"value":128}," — anchor for all period calculations below (see ",{"type":39,"tag":61,"props":130,"children":132},{"className":131},[],[133],{"type":44,"value":66},{"type":44,"value":135}," Section 1.5)",{"type":39,"tag":109,"props":137,"children":138},{},[139],{"type":39,"tag":61,"props":140,"children":142},{"className":141},[],[143],{"type":44,"value":144},"latest_fiscal_quarter",{"type":39,"tag":109,"props":146,"children":147},{},[148,150,155],{"type":44,"value":149},"Firm name for report attribution (default: \"Daloopa\") — see ",{"type":39,"tag":61,"props":151,"children":153},{"className":152},[],[154],{"type":44,"value":66},{"type":44,"value":156}," Section 4.5",{"type":39,"tag":85,"props":158,"children":160},{"id":159},"_1b-current-stock-price",[161],{"type":44,"value":162},"1b. Current Stock Price",{"type":39,"tag":40,"props":164,"children":165},{},[166,168,174,176,181,183,188,190,196,198,204,206,212],{"type":44,"value":167},"Get the current stock price using ",{"type":39,"tag":61,"props":169,"children":171},{"className":170},[],[172],{"type":44,"value":173},"get_stock_prices",{"type":44,"value":175}," (see ",{"type":39,"tag":61,"props":177,"children":179},{"className":178},[],[180],{"type":44,"value":66},{"type":44,"value":182}," Section 1.7). Pass ",{"type":39,"tag":61,"props":184,"children":186},{"className":185},[],[187],{"type":44,"value":117},{"type":44,"value":189}," and ",{"type":39,"tag":61,"props":191,"children":193},{"className":192},[],[194],{"type":44,"value":195},"dates",{"type":44,"value":197}," for the 3 most recent calendar days — use the most recent returned close price. Include the price, date, and a simple context line (e.g., 52-week range or YTD change if you have enough history from a quick ",{"type":39,"tag":61,"props":199,"children":201},{"className":200},[],[202],{"type":44,"value":203},"start_date",{"type":44,"value":205},"\u002F",{"type":39,"tag":61,"props":207,"children":209},{"className":208},[],[210],{"type":44,"value":211},"end_date",{"type":44,"value":213}," pull of the last 12 months). Display this prominently at the top of the report next to the company name.",{"type":39,"tag":85,"props":215,"children":217},{"id":216},"_2-key-financials",[218],{"type":44,"value":219},"2. Key Financials",{"type":39,"tag":40,"props":221,"children":222},{},[223,225,230],{"type":44,"value":224},"Calculate periods backward from ",{"type":39,"tag":61,"props":226,"children":228},{"className":227},[],[229],{"type":44,"value":126},{"type":44,"value":231}," (8 quarters total: last 4 + year-ago for each to enable YoY):\nPull:",{"type":39,"tag":105,"props":233,"children":234},{},[235,240,245,250,255,260,265,270,275],{"type":39,"tag":109,"props":236,"children":237},{},[238],{"type":44,"value":239},"Revenue",{"type":39,"tag":109,"props":241,"children":242},{},[243],{"type":44,"value":244},"Gross Profit",{"type":39,"tag":109,"props":246,"children":247},{},[248],{"type":44,"value":249},"Operating Income",{"type":39,"tag":109,"props":251,"children":252},{},[253],{"type":44,"value":254},"EBITDA (if not reported, compute as Operating Income + D&A — label it \"EBITDA (calc.)\" in the report)",{"type":39,"tag":109,"props":256,"children":257},{},[258],{"type":44,"value":259},"Net Income",{"type":39,"tag":109,"props":261,"children":262},{},[263],{"type":44,"value":264},"Diluted EPS",{"type":39,"tag":109,"props":266,"children":267},{},[268],{"type":44,"value":269},"Operating Cash Flow",{"type":39,"tag":109,"props":271,"children":272},{},[273],{"type":44,"value":274},"CapEx (Purchases of property, plant and equipment)",{"type":39,"tag":109,"props":276,"children":277},{},[278],{"type":44,"value":279},"Free Cash Flow (compute as Operating Cash Flow - CapEx — label it \"FCF (calc.)\" in the report)",{"type":39,"tag":40,"props":281,"children":282},{},[283],{"type":44,"value":284},"For any derived\u002Fcomputed metric, mark it with \"(calc.)\" so the reader knows it's not directly sourced.",{"type":39,"tag":85,"props":286,"children":288},{"id":287},"_3-key-operating-kpis",[289],{"type":44,"value":290},"3. Key Operating KPIs",{"type":39,"tag":40,"props":292,"children":293},{},[294,296,301],{"type":44,"value":295},"This section is strictly for ",{"type":39,"tag":55,"props":297,"children":298},{},[299],{"type":44,"value":300},"business-driver metrics",{"type":44,"value":302}," — the operational numbers that actually move revenue and earnings. Do NOT put financial statement items (D&A, share count, buybacks, dividends) here — those belong in the financials or capital return sections.",{"type":39,"tag":40,"props":304,"children":305},{},[306],{"type":44,"value":307},"First, think about what the most important KPIs are for THIS specific company based on its business model and what drives its valuation. For example:",{"type":39,"tag":105,"props":309,"children":310},{},[311,321,331,341,351,361,371,381,391],{"type":39,"tag":109,"props":312,"children":313},{},[314,319],{"type":39,"tag":55,"props":315,"children":316},{},[317],{"type":44,"value":318},"SaaS\u002Fcloud",{"type":44,"value":320},": ARR, net revenue retention, RPO\u002FcRPO, customers >$100K, cloud gross margin",{"type":39,"tag":109,"props":322,"children":323},{},[324,329],{"type":39,"tag":55,"props":325,"children":326},{},[327],{"type":44,"value":328},"Consumer tech",{"type":44,"value":330},": DAU\u002FMAU, ARPU, engagement metrics, installed base, paid subscribers",{"type":39,"tag":109,"props":332,"children":333},{},[334,339],{"type":39,"tag":55,"props":335,"children":336},{},[337],{"type":44,"value":338},"E-commerce\u002Fmarketplace",{"type":44,"value":340},": GMV, take rate, active buyers\u002Fsellers, order frequency",{"type":39,"tag":109,"props":342,"children":343},{},[344,349],{"type":39,"tag":55,"props":345,"children":346},{},[347],{"type":44,"value":348},"Retail",{"type":44,"value":350},": same-store sales, store count, average ticket, transactions",{"type":39,"tag":109,"props":352,"children":353},{},[354,359],{"type":39,"tag":55,"props":355,"children":356},{},[357],{"type":44,"value":358},"Telecom\u002Fmedia",{"type":44,"value":360},": subscribers, churn, ARPU, content spend",{"type":39,"tag":109,"props":362,"children":363},{},[364,369],{"type":39,"tag":55,"props":365,"children":366},{},[367],{"type":44,"value":368},"Hardware",{"type":44,"value":370},": units shipped, ASP, attach rate, installed base, products vs services gross margin split",{"type":39,"tag":109,"props":372,"children":373},{},[374,379],{"type":39,"tag":55,"props":375,"children":376},{},[377],{"type":44,"value":378},"Financial services",{"type":44,"value":380},": AUM, NIM, loan growth, credit quality metrics",{"type":39,"tag":109,"props":382,"children":383},{},[384,389],{"type":39,"tag":55,"props":385,"children":386},{},[387],{"type":44,"value":388},"Pharma\u002Fbiotech",{"type":44,"value":390},": pipeline stage, patient starts, scripts, market share",{"type":39,"tag":109,"props":392,"children":393},{},[394,399],{"type":39,"tag":55,"props":395,"children":396},{},[397],{"type":44,"value":398},"Industrials\u002Fenergy",{"type":44,"value":400},": backlog, book-to-bill, utilization, production volumes",{"type":39,"tag":40,"props":402,"children":403},{},[404],{"type":44,"value":405},"Then search for those specific KPIs by name, plus cast a wider net for anything else Daloopa has. Also search for:",{"type":39,"tag":105,"props":407,"children":408},{},[409,414],{"type":39,"tag":109,"props":410,"children":411},{},[412],{"type":44,"value":413},"Segment\u002Fproduct revenue breakdown",{"type":39,"tag":109,"props":415,"children":416},{},[417],{"type":44,"value":418},"Geographic revenue breakdown",{"type":39,"tag":40,"props":420,"children":421},{},[422,427],{"type":39,"tag":55,"props":423,"children":424},{},[425],{"type":44,"value":426},"If the company discloses few operational KPIs",{"type":44,"value":428}," (e.g., Apple stopped reporting iPhone units in 2019), acknowledge the disclosure gap explicitly rather than padding the section with financial metrics. A short note like \"Apple does not disclose unit volumes or ASPs; segment revenue is the finest granularity available\" is more informative than showing D&A and buybacks as fake KPIs.",{"type":39,"tag":40,"props":430,"children":431},{},[432,437],{"type":39,"tag":55,"props":433,"children":434},{},[435],{"type":44,"value":436},"Always search broadly",{"type":44,"value":438}," — companies often disclose more KPIs than you'd expect. For Apple, beyond segment revenue, Daloopa also has: installed base active devices (~2.5bn), products gross margin vs services gross margin (the mix shift story), and paid subscriptions. These are real operational metrics. Search with keywords like \"installed\", \"active\", \"subscriber\", \"margin\" by segment, not just the obvious financial terms.",{"type":39,"tag":40,"props":440,"children":441},{},[442],{"type":44,"value":443},"Pull for the same period as financials.",{"type":39,"tag":85,"props":445,"children":447},{"id":446},"_3b-capital-return",[448],{"type":44,"value":449},"3b. Capital Return",{"type":39,"tag":40,"props":451,"children":452},{},[453],{"type":44,"value":454},"Pull share count, share repurchases, and dividends paid for the same periods. This is a separate section from operating KPIs — it shows how the company is returning cash to shareholders.",{"type":39,"tag":85,"props":456,"children":458},{"id":457},"_4-compute-key-ratios",[459],{"type":44,"value":460},"4. Compute Key Ratios",{"type":39,"tag":40,"props":462,"children":463},{},[464],{"type":44,"value":465},"Show trend over the last 4 quarters with YoY change for EACH quarter (not just the earliest):",{"type":39,"tag":105,"props":467,"children":468},{},[469,474,479,484,489,494],{"type":39,"tag":109,"props":470,"children":471},{},[472],{"type":44,"value":473},"Gross Margin %",{"type":39,"tag":109,"props":475,"children":476},{},[477],{"type":44,"value":478},"Operating Margin %",{"type":39,"tag":109,"props":480,"children":481},{},[482],{"type":44,"value":483},"EBITDA Margin %",{"type":39,"tag":109,"props":485,"children":486},{},[487],{"type":44,"value":488},"Net Margin %",{"type":39,"tag":109,"props":490,"children":491},{},[492],{"type":44,"value":493},"Revenue Growth (YoY)",{"type":39,"tag":109,"props":495,"children":496},{},[497],{"type":44,"value":498},"EPS Growth (YoY)",{"type":39,"tag":40,"props":500,"children":501},{},[502],{"type":44,"value":503},"If the company has strong seasonality (e.g., retail Q4, back-to-school, etc.), add a brief note flagging it so YoY comparisons are read in context rather than sequential QoQ.",{"type":39,"tag":85,"props":505,"children":507},{"id":506},"_5-recent-developments",[508],{"type":44,"value":509},"5. Recent Developments",{"type":39,"tag":40,"props":511,"children":512},{},[513],{"type":44,"value":514},"Search the most recent 2 quarters of filings. Try multiple keyword searches to get coverage:",{"type":39,"tag":105,"props":516,"children":517},{},[518,523,528,533],{"type":39,"tag":109,"props":519,"children":520},{},[521],{"type":44,"value":522},"First search: company name + \"results\" or \"record\" for earnings highlights",{"type":39,"tag":109,"props":524,"children":525},{},[526],{"type":44,"value":527},"Second search: \"outlook\" or \"guidance\" or \"expect\" for forward-looking commentary",{"type":39,"tag":109,"props":529,"children":530},{},[531],{"type":44,"value":532},"Third search: strategy-specific terms relevant to the company (e.g., \"AI\", \"cloud\", \"subscribers\", \"margin\")",{"type":39,"tag":109,"props":534,"children":535},{},[536],{"type":44,"value":537},"If a search returns empty, try broader single-keyword searches before giving up",{"type":39,"tag":40,"props":539,"children":540},{},[541],{"type":44,"value":542},"Extract:",{"type":39,"tag":105,"props":544,"children":545},{},[546,551,556,561],{"type":39,"tag":109,"props":547,"children":548},{},[549],{"type":44,"value":550},"Business description \u002F what the company does (2-3 sentences)",{"type":39,"tag":109,"props":552,"children":553},{},[554],{"type":44,"value":555},"Key recent developments or announcements",{"type":39,"tag":109,"props":557,"children":558},{},[559],{"type":44,"value":560},"Management's top priorities or strategic focus areas",{"type":39,"tag":109,"props":562,"children":563},{},[564],{"type":44,"value":565},"Any notable management quotes (with document citations)\nKeep this brief — 3-5 bullet points max.",{"type":39,"tag":85,"props":567,"children":569},{"id":568},"_6-five-key-tensions",[570],{"type":44,"value":571},"6. Five Key Tensions",{"type":39,"tag":40,"props":573,"children":574},{},[575],{"type":44,"value":576},"Identify the 5 most critical bull\u002Fbear debates for this stock. Each tension is a single line that frames both sides. Alternate between bullish-leaning and bearish-leaning tensions. Every tension must reference a specific data point from the analysis above.",{"type":39,"tag":40,"props":578,"children":579},{},[580],{"type":44,"value":581},"Format as a numbered list:",{"type":39,"tag":583,"props":584,"children":585},"ol",{},[586,606],{"type":39,"tag":109,"props":587,"children":588},{},[589,591,597,599,604],{"type":44,"value":590},"\"",{"type":39,"tag":592,"props":593,"children":594},"span",{},[595],{"type":44,"value":596},"Bullish factor",{"type":44,"value":598}," vs ",{"type":39,"tag":592,"props":600,"children":601},{},[602],{"type":44,"value":603},"Bearish factor",{"type":44,"value":605},"\" — cite the specific metric",{"type":39,"tag":109,"props":607,"children":608},{},[609,610,614,615,619],{"type":44,"value":590},{"type":39,"tag":592,"props":611,"children":612},{},[613],{"type":44,"value":603},{"type":44,"value":598},{"type":39,"tag":592,"props":616,"children":617},{},[618],{"type":44,"value":596},{"type":44,"value":620},"\" — cite the specific metric\n...etc.",{"type":39,"tag":40,"props":622,"children":623},{},[624],{"type":44,"value":625},"This goes at the top of the report, right after the Company Overview — it gives the reader the bull\u002Fbear framing before they dive into the data.",{"type":39,"tag":85,"props":627,"children":629},{"id":628},"_7-news-snapshot",[630],{"type":44,"value":631},"7. News Snapshot",{"type":39,"tag":40,"props":633,"children":634},{},[635],{"type":44,"value":636},"Run 2 WebSearch queries to gather recent context:",{"type":39,"tag":583,"props":638,"children":639},{},[640,651],{"type":39,"tag":109,"props":641,"children":642},{},[643,649],{"type":39,"tag":61,"props":644,"children":646},{"className":645},[],[647],{"type":44,"value":648},"\"{TICKER} {company_name} news {current_year}\"",{"type":44,"value":650}," — recent headlines",{"type":39,"tag":109,"props":652,"children":653},{},[654,660],{"type":39,"tag":61,"props":655,"children":657},{"className":656},[],[658],{"type":44,"value":659},"\"{TICKER} catalysts risks {current_year}\"",{"type":44,"value":661}," — forward-looking events",{"type":39,"tag":40,"props":663,"children":664},{},[665,667,672],{"type":44,"value":666},"Distill into ",{"type":39,"tag":55,"props":668,"children":669},{},[670],{"type":44,"value":671},"3-5 key events",{"type":44,"value":673}," from the last 6 months, reverse chronological. Each event: date, one-line headline, sentiment tag (Positive \u002F Negative \u002F Mixed \u002F Upcoming). Keep it tight — this is a tearsheet, not a research note.",{"type":39,"tag":85,"props":675,"children":677},{"id":676},"_8-what-to-watch",[678],{"type":44,"value":679},"8. What to Watch",{"type":39,"tag":40,"props":681,"children":682},{},[683,685,690],{"type":44,"value":684},"Build a ",{"type":39,"tag":55,"props":686,"children":687},{},[688],{"type":44,"value":689},"Quantitative Monitors",{"type":44,"value":691}," list — 5 metrics with explicit thresholds:",{"type":39,"tag":105,"props":693,"children":694},{},[695,700],{"type":39,"tag":109,"props":696,"children":697},{},[698],{"type":44,"value":699},"Format: \"Metric: current value → bull threshold \u002F bear threshold\"",{"type":39,"tag":109,"props":701,"children":702},{},[703],{"type":44,"value":704},"Example: \"Gross Margin: 45.2% → above 46% confirms pricing power \u002F below 43% signals cost pressure\"",{"type":39,"tag":40,"props":706,"children":707},{},[708],{"type":44,"value":709},"Choose the 5 metrics that matter most for THIS company's thesis based on the data you pulled above. These should be actionable — an analyst should be able to check these next quarter and know whether the thesis is intact.",{"type":39,"tag":85,"props":711,"children":713},{"id":712},"_9-save-report",[714],{"type":44,"value":715},"9. Save Report",{"type":39,"tag":40,"props":717,"children":718},{},[719,721,727,729,734],{"type":44,"value":720},"Save to ",{"type":39,"tag":61,"props":722,"children":724},{"className":723},[],[725],{"type":44,"value":726},"reports\u002F{TICKER}_tearsheet.html",{"type":44,"value":728}," using the HTML report template from ",{"type":39,"tag":61,"props":730,"children":732},{"className":731},[],[733],{"type":44,"value":74},{"type":44,"value":735},". Write the full analysis as styled HTML with the design system CSS inlined. This is the final deliverable — no intermediate markdown step needed.",{"type":39,"tag":40,"props":737,"children":738},{},[739],{"type":44,"value":740},"Structure the report with these sections:",{"type":39,"tag":742,"props":743,"children":747},"pre",{"className":744,"code":746,"language":44},[745],"language-text","\u003Ch1>{Company Name} ({TICKER}) — Tearsheet\u003C\u002Fh1>\n\u003Cp>Generated: {date}\u003C\u002Fp>\n\n\u003Ch2>Company Overview\u003C\u002Fh2>\n{2-3 sentence description from filings}\n\n\u003Ch2>Five Key Tensions\u003C\u002Fh2>\n{numbered list of 5 bull\u002Fbear debates with data citations}\n\n\u003Ch2>Key Financials (Last 4 Quarters)\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Q(oldest) | Q | Q | Q(latest) |\n{table with Daloopa citations; derived metrics marked (calc.)}\n\u003C\u002Ftable>\n\n\u003Ch2>Segment \u002F Geographic Breakdown\u003C\u002Fh2>\n{segment revenue table or geographic revenue table, whichever is more relevant}\n\n\u003Ch2>Key Operating KPIs\u003C\u002Fh2>\n\u003Ctable>\n| KPI | Q(oldest) | Q | Q | Q(latest) |\n{table with Daloopa citations — ONLY business-driver metrics, NOT financial items}\n{if few KPIs available, note the disclosure gap}\n\u003C\u002Ftable>\n\n\u003Ch2>Capital Return\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Q(oldest) | Q | Q | Q(latest) |\n{share count, buybacks, dividends — separate from operating KPIs}\n\u003C\u002Ftable>\n\n\u003Ch2>Margins & Growth\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Q(oldest) | Q | Q | Q(latest) |\n| Gross Margin % | X% | X% | X% | X% |\n| ... | ... | ... | ... | ... |\n| Rev Growth YoY | X% | X% | X% | X% |\n| EPS Growth YoY | X% | X% | X% | X% |\n{each cell shows the YoY change for THAT quarter}\n{note on seasonality if applicable}\n\u003C\u002Ftable>\n\n\u003Ch2>Recent Developments\u003C\u002Fh2>\n\u003Cul>{bullet points from filings with document citations}\u003C\u002Ful>\n\n\u003Ch2>News Snapshot\u003C\u002Fh2>\n{3-5 recent events with date, headline, sentiment tag}\n\n\u003Ch2>What to Watch\u003C\u002Fh2>\n{5 quantitative monitors with current value and bull\u002Fbear thresholds}\n",[748],{"type":39,"tag":61,"props":749,"children":751},{"__ignoreMap":750},"",[752],{"type":44,"value":746},{"type":39,"tag":40,"props":754,"children":755},{},[756,758],{"type":44,"value":757},"All financial figures must use Daloopa citation format: ",{"type":39,"tag":61,"props":759,"children":761},{"className":760},[],[762],{"type":44,"value":763},"\u003Ca href=\"https:\u002F\u002Fdaloopa.com\u002Fsrc\u002F{fundamental_id}\">$X.XX million\u003C\u002Fa>",{"type":39,"tag":40,"props":765,"children":766},{},[767],{"type":44,"value":768},"Tell the user where the HTML report was saved.",{"type":39,"tag":40,"props":770,"children":771},{},[772],{"type":44,"value":773},"Give a 2-3 sentence summary of the company's current state, including an honest assessment: What is the single biggest risk or concern? Does the current valuation (price, implied multiples) seem warranted given the growth trajectory? What would make you cautious about owning this stock?",{"items":775,"total":980},[776,797,820,837,853,872,891,907,923,937,949,964],{"slug":777,"name":777,"fn":778,"description":779,"org":780,"tags":781,"stars":794,"repoUrl":795,"updatedAt":796},"prior-auth-packet-builder","build healthcare prior authorization packets","Build a concise prior authorization packet from local case files and payer policy docs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[782,785,788,791],{"name":783,"slug":784,"type":15},"Documents","documents",{"name":786,"slug":787,"type":15},"Healthcare","healthcare",{"name":789,"slug":790,"type":15},"Insurance","insurance",{"name":792,"slug":793,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":798,"name":798,"fn":799,"description":800,"org":801,"tags":802,"stars":817,"repoUrl":818,"updatedAt":819},"aspnet-core","build ASP.NET Core web applications","Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[803,806,808,811,814],{"name":804,"slug":805,"type":15},".NET","dotnet",{"name":807,"slug":798,"type":15},"ASP.NET Core",{"name":809,"slug":810,"type":15},"Blazor","blazor",{"name":812,"slug":813,"type":15},"C#","csharp",{"name":815,"slug":816,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":821,"name":821,"fn":822,"description":823,"org":824,"tags":825,"stars":817,"repoUrl":818,"updatedAt":836},"chatgpt-apps","build ChatGPT Apps SDK applications","Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[826,829,832,835],{"name":827,"slug":828,"type":15},"Apps SDK","apps-sdk",{"name":830,"slug":831,"type":15},"ChatGPT","chatgpt",{"name":833,"slug":834,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":838,"name":838,"fn":839,"description":840,"org":841,"tags":842,"stars":817,"repoUrl":818,"updatedAt":852},"cli-creator","build CLIs from API docs","Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read\u002Fwrite commands, return stable JSON, manage auth, and pair with a companion skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[843,846,849],{"name":844,"slug":845,"type":15},"API Development","api-development",{"name":847,"slug":848,"type":15},"CLI","cli",{"name":850,"slug":851,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":854,"name":854,"fn":855,"description":856,"org":857,"tags":858,"stars":817,"repoUrl":818,"updatedAt":871},"cloudflare-deploy","deploy projects to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[859,862,865,868],{"name":860,"slug":861,"type":15},"Cloudflare","cloudflare",{"name":863,"slug":864,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":866,"slug":867,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":869,"slug":870,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":873,"name":873,"fn":874,"description":875,"org":876,"tags":877,"stars":817,"repoUrl":818,"updatedAt":890},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[878,881,884,887],{"name":879,"slug":880,"type":15},"Productivity","productivity",{"name":882,"slug":883,"type":15},"Project Management","project-management",{"name":885,"slug":886,"type":15},"Strategy","strategy",{"name":888,"slug":889,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":892,"name":892,"fn":893,"description":894,"org":895,"tags":896,"stars":817,"repoUrl":818,"updatedAt":906},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[897,900,902,905],{"name":898,"slug":899,"type":15},"Design","design",{"name":901,"slug":892,"type":15},"Figma",{"name":903,"slug":904,"type":15},"Frontend","frontend",{"name":833,"slug":834,"type":15},"2026-04-12T05:06:47.939943",{"slug":908,"name":908,"fn":909,"description":910,"org":911,"tags":912,"stars":817,"repoUrl":818,"updatedAt":922},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[913,914,917,918,919],{"name":898,"slug":899,"type":15},{"name":915,"slug":916,"type":15},"Design System","design-system",{"name":901,"slug":892,"type":15},{"name":903,"slug":904,"type":15},{"name":920,"slug":921,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":924,"name":924,"fn":925,"description":926,"org":927,"tags":928,"stars":817,"repoUrl":818,"updatedAt":936},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[929,930,931,934,935],{"name":898,"slug":899,"type":15},{"name":915,"slug":916,"type":15},{"name":932,"slug":933,"type":15},"Documentation","documentation",{"name":901,"slug":892,"type":15},{"name":903,"slug":904,"type":15},"2026-05-16T06:07:47.821474",{"slug":938,"name":938,"fn":939,"description":940,"org":941,"tags":942,"stars":817,"repoUrl":818,"updatedAt":948},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[943,944,945,946,947],{"name":898,"slug":899,"type":15},{"name":901,"slug":892,"type":15},{"name":903,"slug":904,"type":15},{"name":920,"slug":921,"type":15},{"name":815,"slug":816,"type":15},"2026-05-16T06:07:40.583615",{"slug":950,"name":950,"fn":951,"description":952,"org":953,"tags":954,"stars":817,"repoUrl":818,"updatedAt":963},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[955,958,959,962],{"name":956,"slug":957,"type":15},"Animation","animation",{"name":850,"slug":851,"type":15},{"name":960,"slug":961,"type":15},"Creative","creative",{"name":898,"slug":899,"type":15},"2026-05-02T05:31:48.48485",{"slug":965,"name":965,"fn":966,"description":967,"org":968,"tags":969,"stars":817,"repoUrl":818,"updatedAt":979},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[970,971,972,975,978],{"name":960,"slug":961,"type":15},{"name":898,"slug":899,"type":15},{"name":973,"slug":974,"type":15},"Image Generation","image-generation",{"name":976,"slug":977,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":982,"total":1095},[983,999,1015,1027,1045,1063,1083],{"slug":984,"name":984,"fn":985,"description":986,"org":987,"tags":988,"stars":22,"repoUrl":23,"updatedAt":24},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[989,992,995,998],{"name":990,"slug":991,"type":15},"Accessibility","accessibility",{"name":993,"slug":994,"type":15},"Charts","charts",{"name":996,"slug":997,"type":15},"Data Visualization","data-visualization",{"name":898,"slug":899,"type":15},{"slug":1000,"name":1000,"fn":1001,"description":1002,"org":1003,"tags":1004,"stars":22,"repoUrl":23,"updatedAt":1014},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1005,1008,1011],{"name":1006,"slug":1007,"type":15},"Agents","agents",{"name":1009,"slug":1010,"type":15},"Browser Automation","browser-automation",{"name":1012,"slug":1013,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":1016,"name":1016,"fn":1017,"description":1018,"org":1019,"tags":1020,"stars":22,"repoUrl":23,"updatedAt":1026},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1021,1022,1025],{"name":1009,"slug":1010,"type":15},{"name":1023,"slug":1024,"type":15},"Local Development","local-development",{"name":1012,"slug":1013,"type":15},"2026-04-06T18:41:17.526867",{"slug":1028,"name":1028,"fn":1029,"description":1030,"org":1031,"tags":1032,"stars":22,"repoUrl":23,"updatedAt":1044},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1033,1034,1035,1038,1041],{"name":1006,"slug":1007,"type":15},{"name":866,"slug":867,"type":15},{"name":1036,"slug":1037,"type":15},"SDK","sdk",{"name":1039,"slug":1040,"type":15},"Serverless","serverless",{"name":1042,"slug":1043,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":1046,"name":1046,"fn":1047,"description":1048,"org":1049,"tags":1050,"stars":22,"repoUrl":23,"updatedAt":1062},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1051,1052,1055,1058,1059],{"name":903,"slug":904,"type":15},{"name":1053,"slug":1054,"type":15},"React","react",{"name":1056,"slug":1057,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":920,"slug":921,"type":15},{"name":1060,"slug":1061,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":1064,"name":1064,"fn":1065,"description":1066,"org":1067,"tags":1068,"stars":22,"repoUrl":23,"updatedAt":1082},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1069,1072,1075,1078,1081],{"name":1070,"slug":1071,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1073,"slug":1074,"type":15},"Cost Optimization","cost-optimization",{"name":1076,"slug":1077,"type":15},"LLM","llm",{"name":1079,"slug":1080,"type":15},"Performance","performance",{"name":1060,"slug":1061,"type":15},"2026-04-06T18:40:44.377464",{"slug":1084,"name":1084,"fn":1085,"description":1086,"org":1087,"tags":1088,"stars":22,"repoUrl":23,"updatedAt":1094},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1089,1090,1093],{"name":1073,"slug":1074,"type":15},{"name":1091,"slug":1092,"type":15},"Database","database",{"name":1076,"slug":1077,"type":15},"2026-04-06T18:41:08.513425",600]