[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-dcf":3,"mdc-f9ump8-key":35,"related-repo-openai-dcf":885,"related-org-openai-dcf":1008},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":24,"repoUrl":25,"updatedAt":26,"license":27,"forks":28,"topics":29,"repo":30,"sourceUrl":33,"mdContent":34},"dcf","conduct discounted cash flow valuation","Discounted cash flow valuation with sensitivity analysis",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Valuation","valuation","tag",{"name":17,"slug":18,"type":15},"Financial Modeling","financial-modeling",{"name":20,"slug":21,"type":15},"Finance","finance",{"name":23,"slug":4,"type":15},"DCF",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102",null,465,[],{"repoUrl":25,"stars":24,"forks":28,"topics":31,"description":32},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fdaloopa\u002Fskills\u002Fdcf","---\nname: dcf\ndescription: Discounted cash flow valuation with sensitivity analysis\n---\n\nBuild a discounted cash flow (DCF) valuation for the company named in the user's request. If no ticker or company is provided, ask for one before proceeding.\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## 2. Market Data\nGet market-side inputs for {TICKER} (see `..\u002Fdata-access.md` Section 2 for how to source market data in your environment):\n- Current price, market cap, shares outstanding, beta\n- 10Y Treasury yield (risk-free rate for WACC)\n\nIf market data is unavailable, use reasonable defaults: beta=1.0, risk-free rate=4.5%, and note the assumptions.\n\n## 3. Historical Financials from Daloopa\nCalculate 8 quarters backward from `latest_calendar_quarter`. Pull:\n- Revenue\n- Operating Income\n- Net Income\n- Diluted EPS\n- Operating Cash Flow\n- Capital Expenditures\n- Free Cash Flow (compute as OCF - CapEx, label \"(calc.)\")\n- Depreciation & Amortization\n- Tax expense and pre-tax income (for effective tax rate)\n- Interest expense (for cost of debt)\n- Total debt (short + long term)\n- Cash and equivalents\n- Shares outstanding\n\nAlso pull segment revenue and any available guidance series.\n\n## 4. Calculate WACC\n\n**Cost of Equity (CAPM):**\n- Risk-free rate (Rf) = 10Y Treasury from market data\n- Equity risk premium (ERP) = 5.5% (standard assumption)\n- Beta from market data (or 1.0 default)\n- Cost of equity = Rf + Beta × ERP\n\n**Cost of Debt:**\n- If interest expense and total debt available: Cost of debt = Interest Expense \u002F Average Total Debt\n- After-tax cost of debt = Cost of debt × (1 - effective tax rate)\n- If not available, use 5.0% pre-tax as default\n\n**Capital Structure:**\n- Market cap for equity weight\n- Total debt for debt weight\n- WACC = (E\u002FV) × Re + (D\u002FV) × Rd × (1-t)\n\nShow all inputs and the resulting WACC clearly.\n\n## 5a. KPI-Driven Revenue Build (Preferred)\n\nBefore projecting top-down, attempt a bottoms-up revenue build using operational KPIs. This produces a significantly more defensible DCF — a top-down trend decay is a guess; a bottoms-up KPI build is analysis.\n\n**Discover segment and KPI data:**\nPull segment revenue breakdown + segment-specific KPIs for the target company. Use the sector taxonomy to know what to search for:\n\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\n- **Financial Services**: AUM, NIM, loan growth, credit quality metrics, fee income ratio\n- **Pharma\u002FBiotech**: pipeline stage, patient starts, scripts, market share\n- **Industrials\u002FEnergy**: backlog, book-to-bill, utilization, production volumes, reserves\n\n**Build bottoms-up projections per segment:**\nFor each segment with KPI data, project revenue using unit economics:\n- Hardware segments: projected units × projected ASP\n- Subscription segments: projected subscribers × projected ARPU (net of churn)\n- Marketplace segments: projected GMV × projected take rate\n- Services\u002Frecurring: apply growth rate informed by retention metrics and customer adds\n\nSum segment projections to get total revenue for each of 5 years. Show the build clearly so the reader can challenge individual segment assumptions.\n\n**Fall back to top-down if KPIs aren't available.** If segment KPIs are sparse or unavailable, use the top-down approach in Section 5b instead, but note explicitly that the model is less reliable without bottoms-up drivers.\n\n## 5b. Top-Down FCF Projections (Fallback)\n\nBuild 5-year FCF projections. If a projection engine is available (see `..\u002Fdata-access.md` Section 5), use it. Otherwise, project manually:\n- **Revenue:** Use management guidance for near-term, then decay toward 3% long-term growth\n- **FCF Margin:** Use trailing average, adjust for any clear trends\n- **FCF = Projected Revenue × Projected FCF Margin**\n\nShow all assumptions clearly — this is the most judgment-intensive part. If using this fallback instead of the KPI-driven build (Section 5a), note the limitation.\n\n## 6. Terminal Value\nCalculate terminal value using perpetuity growth method:\n- Terminal FCF = Year 5 FCF × (1 + terminal growth rate)\n- Terminal Value = Terminal FCF \u002F (WACC - terminal growth rate)\n- Default terminal growth rate: 2.5-3.0% (should not exceed long-term GDP growth)\n- Discount terminal value to present\n\n## 7. Compute Implied Valuation\n- Sum of PV of projected FCFs + PV of terminal value = Enterprise Value\n- Equity Value = Enterprise Value - Net Debt\n- Implied Share Price = Equity Value \u002F Shares Outstanding\n- Compare to current market price: upside\u002Fdownside %\n\nAlso compute:\n- Implied EV\u002FEBITDA (Enterprise Value \u002F Trailing EBITDA)\n- Implied P\u002FE (Equity Value \u002F Trailing Net Income)\n- Terminal value as % of total value (flag if > 80% — this means the DCF is very sensitive to terminal assumptions)\n\n## 8. Sensitivity Analysis\nBuild a sensitivity table varying two key inputs:\n\n**WACC (rows):** Base WACC ± 2% in 0.5% increments (7 rows)\n**Terminal Growth Rate (columns):** 1.5% to 4.0% in 0.5% increments (6 columns)\n\nEach cell = implied share price at that WACC\u002Fgrowth combination.\nHighlight the base case cell and the current market price for reference.\n\nAlso show a secondary sensitivity: Revenue Growth vs FCF Margin if data supports it.\n\n## 9. Consensus Sanity Check (if available)\nIf consensus estimates are available (see `..\u002Fdata-access.md` Section 3):\n- Compare your projected revenue\u002FEPS path to consensus for the next 1-2 years\n- Note where your DCF assumptions diverge from Street expectations\n- If your implied price is significantly above\u002Fbelow consensus target, explain why\n\nIf consensus data is not available, skip this check.\n\n## 10. Sanity Checks & Self-Challenge\nFlag any issues:\n- If implied price is >2x or \u003C0.5x current price, note that the DCF produces an extreme result and examine assumptions\n- If terminal value is >85% of total value, the model is highly sensitive to terminal assumptions\n- If WACC \u003C risk-free rate or > 15%, the capital structure inputs may be off\n- Compare implied multiples to historical trading range\n\n**Challenge your own assumptions — don't anchor to the current price:**\n- Build the DCF from fundamentals first, THEN compare to market price. Don't work backwards from the current price to justify assumptions.\n- If your base case revenue growth assumes continuation of recent trends, stress-test: what if growth mean-reverts to the industry average? What if the current cycle peaks?\n- Explicitly state what has to go right for the bull case implied price and what has to go wrong for the bear case.\n- If the DCF only \"works\" with aggressive terminal growth or unrealistically low WACC, say so — the stock may simply be expensive on fundamentals.\n\n## 11. Save Report\nSave to `reports\u002F{TICKER}_dcf.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}) — DCF Valuation\u003C\u002Fh1>\n\u003Cp>Generated: {date}\u003C\u002Fp>\n\n\u003Ch2>Summary\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Value |\n| Current Price | $XXX |\n| Implied Share Price | $XXX |\n| Upside \u002F Downside | +X.X% \u002F -X.X% |\n| WACC | X.X% |\n| Terminal Growth | X.X% |\n| Terminal Value % of Total | XX% |\n\u003C\u002Ftable>\n\n\u003Ch2>WACC Calculation\u003C\u002Fh2>\n\u003Ctable>\n| Component | Value | Source |\n| Risk-Free Rate | X.X% | FRED 10Y Treasury |\n| Equity Risk Premium | 5.5% | Standard assumption |\n| Beta | X.XX | Market data |\n| Cost of Equity | X.X% | CAPM |\n| Cost of Debt (after-tax) | X.X% | Interest\u002FDebt × (1-t) |\n| Equity Weight | XX% | Market cap |\n| Debt Weight | XX% | Total debt |\n| **WACC** | **X.X%** | |\n\u003C\u002Ftable>\n\n\u003Ch2>Historical Free Cash Flow (8 Quarters)\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Q1 | Q2 | ... | Q8 |\n{OCF, CapEx, FCF, FCF Margin — with Daloopa citations}\n\u003C\u002Ftable>\n\n\u003Ch2>FCF Projections (5 Years)\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |\n{Revenue, FCF Margin, FCF — with assumptions noted}\n\u003C\u002Ftable>\n\n\u003Ch2>Valuation Bridge\u003C\u002Fh2>\n\u003Ctable>\n| Component | Value |\n| PV of Projected FCFs | $XXX |\n| PV of Terminal Value | $XXX |\n| Enterprise Value | $XXX |\n| Less: Net Debt | ($XXX) |\n| Equity Value | $XXX |\n| Shares Outstanding | XXX |\n| **Implied Share Price** | **$XXX** |\n\u003C\u002Ftable>\n\n\u003Ch2>Sensitivity Table: WACC vs Terminal Growth\u003C\u002Fh2>\n\u003Ctable>\n| WACC \\ Growth | 1.5% | 2.0% | 2.5% | 3.0% | 3.5% | 4.0% |\n{matrix of implied share prices, base case bolded}\n\u003C\u002Ftable>\n\u003Cp>Current market price: $XXX for reference.\u003C\u002Fp>\n\n\u003Ch2>Key Assumptions & Risks\u003C\u002Fh2>\n\u003Cul>{List all key assumptions and what could invalidate them}\u003C\u002Ful>\n\n\u003Ch2>Sanity Checks\u003C\u002Fh2>\n\u003Cul>{Implied multiples vs historical, terminal value concentration, etc.}\u003C\u002Ful>\n```\n\nAll financial figures must use Daloopa citation format: `\u003Ca href=\"https:\u002F\u002Fdaloopa.com\u002Fsrc\u002F{fundamental_id}\">$X.XX million\u003C\u002Fa>`\n\nTell the user where the HTML report was saved.\n\nSummarize: implied price vs current price, key upside\u002Fdownside drivers, and the biggest sensitivity.\n",{"data":36,"body":37},{"name":4,"description":6},{"type":38,"children":39},"root",[40,48,76,81,88,101,154,160,172,185,190,196,208,276,281,287,295,318,326,344,352,370,375,381,386,396,489,499,522,527,537,543,555,586,591,597,602,625,631,654,659,677,683,688,705,710,715,721,733,751,756,762,767,790,798,821,827,847,852,864,875,880],{"type":41,"tag":42,"props":43,"children":44},"element","p",{},[45],{"type":46,"value":47},"text","Build a discounted cash flow (DCF) valuation for the company named in the user's request. If no ticker or company is provided, ask for one before proceeding.",{"type":41,"tag":42,"props":49,"children":50},{},[51,74],{"type":41,"tag":52,"props":53,"children":54},"strong",{},[55,57,64,66,72],{"type":46,"value":56},"Before starting, read ",{"type":41,"tag":58,"props":59,"children":61},"code",{"className":60},[],[62],{"type":46,"value":63},"..\u002Fdata-access.md",{"type":46,"value":65}," for data access methods and ",{"type":41,"tag":58,"props":67,"children":69},{"className":68},[],[70],{"type":46,"value":71},"..\u002Fdesign-system.md",{"type":46,"value":73}," for formatting conventions.",{"type":46,"value":75}," Follow the data access detection logic and design system throughout this skill.",{"type":41,"tag":42,"props":77,"children":78},{},[79],{"type":46,"value":80},"Follow these steps:",{"type":41,"tag":82,"props":83,"children":85},"h2",{"id":84},"_1-company-lookup",[86],{"type":46,"value":87},"1. Company Lookup",{"type":41,"tag":42,"props":89,"children":90},{},[91,93,99],{"type":46,"value":92},"Look up the company by ticker using ",{"type":41,"tag":58,"props":94,"children":96},{"className":95},[],[97],{"type":46,"value":98},"discover_companies",{"type":46,"value":100},". Capture:",{"type":41,"tag":102,"props":103,"children":104},"ul",{},[105,115,133,142],{"type":41,"tag":106,"props":107,"children":108},"li",{},[109],{"type":41,"tag":58,"props":110,"children":112},{"className":111},[],[113],{"type":46,"value":114},"company_id",{"type":41,"tag":106,"props":116,"children":117},{},[118,124,126,131],{"type":41,"tag":58,"props":119,"children":121},{"className":120},[],[122],{"type":46,"value":123},"latest_calendar_quarter",{"type":46,"value":125}," — anchor for all period calculations below (see ",{"type":41,"tag":58,"props":127,"children":129},{"className":128},[],[130],{"type":46,"value":63},{"type":46,"value":132}," Section 1.5)",{"type":41,"tag":106,"props":134,"children":135},{},[136],{"type":41,"tag":58,"props":137,"children":139},{"className":138},[],[140],{"type":46,"value":141},"latest_fiscal_quarter",{"type":41,"tag":106,"props":143,"children":144},{},[145,147,152],{"type":46,"value":146},"Firm name for report attribution (default: \"Daloopa\") — see ",{"type":41,"tag":58,"props":148,"children":150},{"className":149},[],[151],{"type":46,"value":63},{"type":46,"value":153}," Section 4.5",{"type":41,"tag":82,"props":155,"children":157},{"id":156},"_2-market-data",[158],{"type":46,"value":159},"2. Market Data",{"type":41,"tag":42,"props":161,"children":162},{},[163,165,170],{"type":46,"value":164},"Get market-side inputs for {TICKER} (see ",{"type":41,"tag":58,"props":166,"children":168},{"className":167},[],[169],{"type":46,"value":63},{"type":46,"value":171}," Section 2 for how to source market data in your environment):",{"type":41,"tag":102,"props":173,"children":174},{},[175,180],{"type":41,"tag":106,"props":176,"children":177},{},[178],{"type":46,"value":179},"Current price, market cap, shares outstanding, beta",{"type":41,"tag":106,"props":181,"children":182},{},[183],{"type":46,"value":184},"10Y Treasury yield (risk-free rate for WACC)",{"type":41,"tag":42,"props":186,"children":187},{},[188],{"type":46,"value":189},"If market data is unavailable, use reasonable defaults: beta=1.0, risk-free rate=4.5%, and note the assumptions.",{"type":41,"tag":82,"props":191,"children":193},{"id":192},"_3-historical-financials-from-daloopa",[194],{"type":46,"value":195},"3. Historical Financials from Daloopa",{"type":41,"tag":42,"props":197,"children":198},{},[199,201,206],{"type":46,"value":200},"Calculate 8 quarters backward from ",{"type":41,"tag":58,"props":202,"children":204},{"className":203},[],[205],{"type":46,"value":123},{"type":46,"value":207},". Pull:",{"type":41,"tag":102,"props":209,"children":210},{},[211,216,221,226,231,236,241,246,251,256,261,266,271],{"type":41,"tag":106,"props":212,"children":213},{},[214],{"type":46,"value":215},"Revenue",{"type":41,"tag":106,"props":217,"children":218},{},[219],{"type":46,"value":220},"Operating Income",{"type":41,"tag":106,"props":222,"children":223},{},[224],{"type":46,"value":225},"Net Income",{"type":41,"tag":106,"props":227,"children":228},{},[229],{"type":46,"value":230},"Diluted EPS",{"type":41,"tag":106,"props":232,"children":233},{},[234],{"type":46,"value":235},"Operating Cash Flow",{"type":41,"tag":106,"props":237,"children":238},{},[239],{"type":46,"value":240},"Capital Expenditures",{"type":41,"tag":106,"props":242,"children":243},{},[244],{"type":46,"value":245},"Free Cash Flow (compute as OCF - CapEx, label \"(calc.)\")",{"type":41,"tag":106,"props":247,"children":248},{},[249],{"type":46,"value":250},"Depreciation & Amortization",{"type":41,"tag":106,"props":252,"children":253},{},[254],{"type":46,"value":255},"Tax expense and pre-tax income (for effective tax rate)",{"type":41,"tag":106,"props":257,"children":258},{},[259],{"type":46,"value":260},"Interest expense (for cost of debt)",{"type":41,"tag":106,"props":262,"children":263},{},[264],{"type":46,"value":265},"Total debt (short + long term)",{"type":41,"tag":106,"props":267,"children":268},{},[269],{"type":46,"value":270},"Cash and equivalents",{"type":41,"tag":106,"props":272,"children":273},{},[274],{"type":46,"value":275},"Shares outstanding",{"type":41,"tag":42,"props":277,"children":278},{},[279],{"type":46,"value":280},"Also pull segment revenue and any available guidance series.",{"type":41,"tag":82,"props":282,"children":284},{"id":283},"_4-calculate-wacc",[285],{"type":46,"value":286},"4. Calculate WACC",{"type":41,"tag":42,"props":288,"children":289},{},[290],{"type":41,"tag":52,"props":291,"children":292},{},[293],{"type":46,"value":294},"Cost of Equity (CAPM):",{"type":41,"tag":102,"props":296,"children":297},{},[298,303,308,313],{"type":41,"tag":106,"props":299,"children":300},{},[301],{"type":46,"value":302},"Risk-free rate (Rf) = 10Y Treasury from market data",{"type":41,"tag":106,"props":304,"children":305},{},[306],{"type":46,"value":307},"Equity risk premium (ERP) = 5.5% (standard assumption)",{"type":41,"tag":106,"props":309,"children":310},{},[311],{"type":46,"value":312},"Beta from market data (or 1.0 default)",{"type":41,"tag":106,"props":314,"children":315},{},[316],{"type":46,"value":317},"Cost of equity = Rf + Beta × ERP",{"type":41,"tag":42,"props":319,"children":320},{},[321],{"type":41,"tag":52,"props":322,"children":323},{},[324],{"type":46,"value":325},"Cost of Debt:",{"type":41,"tag":102,"props":327,"children":328},{},[329,334,339],{"type":41,"tag":106,"props":330,"children":331},{},[332],{"type":46,"value":333},"If interest expense and total debt available: Cost of debt = Interest Expense \u002F Average Total Debt",{"type":41,"tag":106,"props":335,"children":336},{},[337],{"type":46,"value":338},"After-tax cost of debt = Cost of debt × (1 - effective tax rate)",{"type":41,"tag":106,"props":340,"children":341},{},[342],{"type":46,"value":343},"If not available, use 5.0% pre-tax as default",{"type":41,"tag":42,"props":345,"children":346},{},[347],{"type":41,"tag":52,"props":348,"children":349},{},[350],{"type":46,"value":351},"Capital Structure:",{"type":41,"tag":102,"props":353,"children":354},{},[355,360,365],{"type":41,"tag":106,"props":356,"children":357},{},[358],{"type":46,"value":359},"Market cap for equity weight",{"type":41,"tag":106,"props":361,"children":362},{},[363],{"type":46,"value":364},"Total debt for debt weight",{"type":41,"tag":106,"props":366,"children":367},{},[368],{"type":46,"value":369},"WACC = (E\u002FV) × Re + (D\u002FV) × Rd × (1-t)",{"type":41,"tag":42,"props":371,"children":372},{},[373],{"type":46,"value":374},"Show all inputs and the resulting WACC clearly.",{"type":41,"tag":82,"props":376,"children":378},{"id":377},"_5a-kpi-driven-revenue-build-preferred",[379],{"type":46,"value":380},"5a. KPI-Driven Revenue Build (Preferred)",{"type":41,"tag":42,"props":382,"children":383},{},[384],{"type":46,"value":385},"Before projecting top-down, attempt a bottoms-up revenue build using operational KPIs. This produces a significantly more defensible DCF — a top-down trend decay is a guess; a bottoms-up KPI build is analysis.",{"type":41,"tag":42,"props":387,"children":388},{},[389,394],{"type":41,"tag":52,"props":390,"children":391},{},[392],{"type":46,"value":393},"Discover segment and KPI data:",{"type":46,"value":395},"\nPull segment revenue breakdown + segment-specific KPIs for the target company. Use the sector taxonomy to know what to search for:",{"type":41,"tag":102,"props":397,"children":398},{},[399,409,419,429,439,449,459,469,479],{"type":41,"tag":106,"props":400,"children":401},{},[402,407],{"type":41,"tag":52,"props":403,"children":404},{},[405],{"type":46,"value":406},"SaaS\u002FCloud",{"type":46,"value":408},": ARR, net revenue retention, RPO\u002FcRPO, customers >$100K, cloud gross margin",{"type":41,"tag":106,"props":410,"children":411},{},[412,417],{"type":41,"tag":52,"props":413,"children":414},{},[415],{"type":46,"value":416},"Consumer Tech",{"type":46,"value":418},": DAU\u002FMAU, ARPU, engagement metrics, installed base, paid subscribers",{"type":41,"tag":106,"props":420,"children":421},{},[422,427],{"type":41,"tag":52,"props":423,"children":424},{},[425],{"type":46,"value":426},"E-commerce\u002FMarketplace",{"type":46,"value":428},": GMV, take rate, active buyers\u002Fsellers, order frequency",{"type":41,"tag":106,"props":430,"children":431},{},[432,437],{"type":41,"tag":52,"props":433,"children":434},{},[435],{"type":46,"value":436},"Retail",{"type":46,"value":438},": same-store sales, store count, average ticket, transactions",{"type":41,"tag":106,"props":440,"children":441},{},[442,447],{"type":41,"tag":52,"props":443,"children":444},{},[445],{"type":46,"value":446},"Telecom\u002FMedia",{"type":46,"value":448},": subscribers, churn, ARPU, content spend",{"type":41,"tag":106,"props":450,"children":451},{},[452,457],{"type":41,"tag":52,"props":453,"children":454},{},[455],{"type":46,"value":456},"Hardware",{"type":46,"value":458},": units shipped, ASP, attach rate, installed base",{"type":41,"tag":106,"props":460,"children":461},{},[462,467],{"type":41,"tag":52,"props":463,"children":464},{},[465],{"type":46,"value":466},"Financial Services",{"type":46,"value":468},": AUM, NIM, loan growth, credit quality metrics, fee income ratio",{"type":41,"tag":106,"props":470,"children":471},{},[472,477],{"type":41,"tag":52,"props":473,"children":474},{},[475],{"type":46,"value":476},"Pharma\u002FBiotech",{"type":46,"value":478},": pipeline stage, patient starts, scripts, market share",{"type":41,"tag":106,"props":480,"children":481},{},[482,487],{"type":41,"tag":52,"props":483,"children":484},{},[485],{"type":46,"value":486},"Industrials\u002FEnergy",{"type":46,"value":488},": backlog, book-to-bill, utilization, production volumes, reserves",{"type":41,"tag":42,"props":490,"children":491},{},[492,497],{"type":41,"tag":52,"props":493,"children":494},{},[495],{"type":46,"value":496},"Build bottoms-up projections per segment:",{"type":46,"value":498},"\nFor each segment with KPI data, project revenue using unit economics:",{"type":41,"tag":102,"props":500,"children":501},{},[502,507,512,517],{"type":41,"tag":106,"props":503,"children":504},{},[505],{"type":46,"value":506},"Hardware segments: projected units × projected ASP",{"type":41,"tag":106,"props":508,"children":509},{},[510],{"type":46,"value":511},"Subscription segments: projected subscribers × projected ARPU (net of churn)",{"type":41,"tag":106,"props":513,"children":514},{},[515],{"type":46,"value":516},"Marketplace segments: projected GMV × projected take rate",{"type":41,"tag":106,"props":518,"children":519},{},[520],{"type":46,"value":521},"Services\u002Frecurring: apply growth rate informed by retention metrics and customer adds",{"type":41,"tag":42,"props":523,"children":524},{},[525],{"type":46,"value":526},"Sum segment projections to get total revenue for each of 5 years. Show the build clearly so the reader can challenge individual segment assumptions.",{"type":41,"tag":42,"props":528,"children":529},{},[530,535],{"type":41,"tag":52,"props":531,"children":532},{},[533],{"type":46,"value":534},"Fall back to top-down if KPIs aren't available.",{"type":46,"value":536}," If segment KPIs are sparse or unavailable, use the top-down approach in Section 5b instead, but note explicitly that the model is less reliable without bottoms-up drivers.",{"type":41,"tag":82,"props":538,"children":540},{"id":539},"_5b-top-down-fcf-projections-fallback",[541],{"type":46,"value":542},"5b. Top-Down FCF Projections (Fallback)",{"type":41,"tag":42,"props":544,"children":545},{},[546,548,553],{"type":46,"value":547},"Build 5-year FCF projections. If a projection engine is available (see ",{"type":41,"tag":58,"props":549,"children":551},{"className":550},[],[552],{"type":46,"value":63},{"type":46,"value":554}," Section 5), use it. Otherwise, project manually:",{"type":41,"tag":102,"props":556,"children":557},{},[558,568,578],{"type":41,"tag":106,"props":559,"children":560},{},[561,566],{"type":41,"tag":52,"props":562,"children":563},{},[564],{"type":46,"value":565},"Revenue:",{"type":46,"value":567}," Use management guidance for near-term, then decay toward 3% long-term growth",{"type":41,"tag":106,"props":569,"children":570},{},[571,576],{"type":41,"tag":52,"props":572,"children":573},{},[574],{"type":46,"value":575},"FCF Margin:",{"type":46,"value":577}," Use trailing average, adjust for any clear trends",{"type":41,"tag":106,"props":579,"children":580},{},[581],{"type":41,"tag":52,"props":582,"children":583},{},[584],{"type":46,"value":585},"FCF = Projected Revenue × Projected FCF Margin",{"type":41,"tag":42,"props":587,"children":588},{},[589],{"type":46,"value":590},"Show all assumptions clearly — this is the most judgment-intensive part. If using this fallback instead of the KPI-driven build (Section 5a), note the limitation.",{"type":41,"tag":82,"props":592,"children":594},{"id":593},"_6-terminal-value",[595],{"type":46,"value":596},"6. Terminal Value",{"type":41,"tag":42,"props":598,"children":599},{},[600],{"type":46,"value":601},"Calculate terminal value using perpetuity growth method:",{"type":41,"tag":102,"props":603,"children":604},{},[605,610,615,620],{"type":41,"tag":106,"props":606,"children":607},{},[608],{"type":46,"value":609},"Terminal FCF = Year 5 FCF × (1 + terminal growth rate)",{"type":41,"tag":106,"props":611,"children":612},{},[613],{"type":46,"value":614},"Terminal Value = Terminal FCF \u002F (WACC - terminal growth rate)",{"type":41,"tag":106,"props":616,"children":617},{},[618],{"type":46,"value":619},"Default terminal growth rate: 2.5-3.0% (should not exceed long-term GDP growth)",{"type":41,"tag":106,"props":621,"children":622},{},[623],{"type":46,"value":624},"Discount terminal value to present",{"type":41,"tag":82,"props":626,"children":628},{"id":627},"_7-compute-implied-valuation",[629],{"type":46,"value":630},"7. Compute Implied Valuation",{"type":41,"tag":102,"props":632,"children":633},{},[634,639,644,649],{"type":41,"tag":106,"props":635,"children":636},{},[637],{"type":46,"value":638},"Sum of PV of projected FCFs + PV of terminal value = Enterprise Value",{"type":41,"tag":106,"props":640,"children":641},{},[642],{"type":46,"value":643},"Equity Value = Enterprise Value - Net Debt",{"type":41,"tag":106,"props":645,"children":646},{},[647],{"type":46,"value":648},"Implied Share Price = Equity Value \u002F Shares Outstanding",{"type":41,"tag":106,"props":650,"children":651},{},[652],{"type":46,"value":653},"Compare to current market price: upside\u002Fdownside %",{"type":41,"tag":42,"props":655,"children":656},{},[657],{"type":46,"value":658},"Also compute:",{"type":41,"tag":102,"props":660,"children":661},{},[662,667,672],{"type":41,"tag":106,"props":663,"children":664},{},[665],{"type":46,"value":666},"Implied EV\u002FEBITDA (Enterprise Value \u002F Trailing EBITDA)",{"type":41,"tag":106,"props":668,"children":669},{},[670],{"type":46,"value":671},"Implied P\u002FE (Equity Value \u002F Trailing Net Income)",{"type":41,"tag":106,"props":673,"children":674},{},[675],{"type":46,"value":676},"Terminal value as % of total value (flag if > 80% — this means the DCF is very sensitive to terminal assumptions)",{"type":41,"tag":82,"props":678,"children":680},{"id":679},"_8-sensitivity-analysis",[681],{"type":46,"value":682},"8. Sensitivity Analysis",{"type":41,"tag":42,"props":684,"children":685},{},[686],{"type":46,"value":687},"Build a sensitivity table varying two key inputs:",{"type":41,"tag":42,"props":689,"children":690},{},[691,696,698,703],{"type":41,"tag":52,"props":692,"children":693},{},[694],{"type":46,"value":695},"WACC (rows):",{"type":46,"value":697}," Base WACC ± 2% in 0.5% increments (7 rows)\n",{"type":41,"tag":52,"props":699,"children":700},{},[701],{"type":46,"value":702},"Terminal Growth Rate (columns):",{"type":46,"value":704}," 1.5% to 4.0% in 0.5% increments (6 columns)",{"type":41,"tag":42,"props":706,"children":707},{},[708],{"type":46,"value":709},"Each cell = implied share price at that WACC\u002Fgrowth combination.\nHighlight the base case cell and the current market price for reference.",{"type":41,"tag":42,"props":711,"children":712},{},[713],{"type":46,"value":714},"Also show a secondary sensitivity: Revenue Growth vs FCF Margin if data supports it.",{"type":41,"tag":82,"props":716,"children":718},{"id":717},"_9-consensus-sanity-check-if-available",[719],{"type":46,"value":720},"9. Consensus Sanity Check (if available)",{"type":41,"tag":42,"props":722,"children":723},{},[724,726,731],{"type":46,"value":725},"If consensus estimates are available (see ",{"type":41,"tag":58,"props":727,"children":729},{"className":728},[],[730],{"type":46,"value":63},{"type":46,"value":732}," Section 3):",{"type":41,"tag":102,"props":734,"children":735},{},[736,741,746],{"type":41,"tag":106,"props":737,"children":738},{},[739],{"type":46,"value":740},"Compare your projected revenue\u002FEPS path to consensus for the next 1-2 years",{"type":41,"tag":106,"props":742,"children":743},{},[744],{"type":46,"value":745},"Note where your DCF assumptions diverge from Street expectations",{"type":41,"tag":106,"props":747,"children":748},{},[749],{"type":46,"value":750},"If your implied price is significantly above\u002Fbelow consensus target, explain why",{"type":41,"tag":42,"props":752,"children":753},{},[754],{"type":46,"value":755},"If consensus data is not available, skip this check.",{"type":41,"tag":82,"props":757,"children":759},{"id":758},"_10-sanity-checks-self-challenge",[760],{"type":46,"value":761},"10. Sanity Checks & Self-Challenge",{"type":41,"tag":42,"props":763,"children":764},{},[765],{"type":46,"value":766},"Flag any issues:",{"type":41,"tag":102,"props":768,"children":769},{},[770,775,780,785],{"type":41,"tag":106,"props":771,"children":772},{},[773],{"type":46,"value":774},"If implied price is >2x or \u003C0.5x current price, note that the DCF produces an extreme result and examine assumptions",{"type":41,"tag":106,"props":776,"children":777},{},[778],{"type":46,"value":779},"If terminal value is >85% of total value, the model is highly sensitive to terminal assumptions",{"type":41,"tag":106,"props":781,"children":782},{},[783],{"type":46,"value":784},"If WACC \u003C risk-free rate or > 15%, the capital structure inputs may be off",{"type":41,"tag":106,"props":786,"children":787},{},[788],{"type":46,"value":789},"Compare implied multiples to historical trading range",{"type":41,"tag":42,"props":791,"children":792},{},[793],{"type":41,"tag":52,"props":794,"children":795},{},[796],{"type":46,"value":797},"Challenge your own assumptions — don't anchor to the current price:",{"type":41,"tag":102,"props":799,"children":800},{},[801,806,811,816],{"type":41,"tag":106,"props":802,"children":803},{},[804],{"type":46,"value":805},"Build the DCF from fundamentals first, THEN compare to market price. Don't work backwards from the current price to justify assumptions.",{"type":41,"tag":106,"props":807,"children":808},{},[809],{"type":46,"value":810},"If your base case revenue growth assumes continuation of recent trends, stress-test: what if growth mean-reverts to the industry average? What if the current cycle peaks?",{"type":41,"tag":106,"props":812,"children":813},{},[814],{"type":46,"value":815},"Explicitly state what has to go right for the bull case implied price and what has to go wrong for the bear case.",{"type":41,"tag":106,"props":817,"children":818},{},[819],{"type":46,"value":820},"If the DCF only \"works\" with aggressive terminal growth or unrealistically low WACC, say so — the stock may simply be expensive on fundamentals.",{"type":41,"tag":82,"props":822,"children":824},{"id":823},"_11-save-report",[825],{"type":46,"value":826},"11. Save Report",{"type":41,"tag":42,"props":828,"children":829},{},[830,832,838,840,845],{"type":46,"value":831},"Save to ",{"type":41,"tag":58,"props":833,"children":835},{"className":834},[],[836],{"type":46,"value":837},"reports\u002F{TICKER}_dcf.html",{"type":46,"value":839}," using the HTML report template from ",{"type":41,"tag":58,"props":841,"children":843},{"className":842},[],[844],{"type":46,"value":71},{"type":46,"value":846},". Write the full analysis as styled HTML with the design system CSS inlined. This is the final deliverable — no intermediate markdown step needed.",{"type":41,"tag":42,"props":848,"children":849},{},[850],{"type":46,"value":851},"Structure the report with these sections:",{"type":41,"tag":853,"props":854,"children":858},"pre",{"className":855,"code":857,"language":46},[856],"language-text","\u003Ch1>{Company Name} ({TICKER}) — DCF Valuation\u003C\u002Fh1>\n\u003Cp>Generated: {date}\u003C\u002Fp>\n\n\u003Ch2>Summary\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Value |\n| Current Price | $XXX |\n| Implied Share Price | $XXX |\n| Upside \u002F Downside | +X.X% \u002F -X.X% |\n| WACC | X.X% |\n| Terminal Growth | X.X% |\n| Terminal Value % of Total | XX% |\n\u003C\u002Ftable>\n\n\u003Ch2>WACC Calculation\u003C\u002Fh2>\n\u003Ctable>\n| Component | Value | Source |\n| Risk-Free Rate | X.X% | FRED 10Y Treasury |\n| Equity Risk Premium | 5.5% | Standard assumption |\n| Beta | X.XX | Market data |\n| Cost of Equity | X.X% | CAPM |\n| Cost of Debt (after-tax) | X.X% | Interest\u002FDebt × (1-t) |\n| Equity Weight | XX% | Market cap |\n| Debt Weight | XX% | Total debt |\n| **WACC** | **X.X%** | |\n\u003C\u002Ftable>\n\n\u003Ch2>Historical Free Cash Flow (8 Quarters)\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Q1 | Q2 | ... | Q8 |\n{OCF, CapEx, FCF, FCF Margin — with Daloopa citations}\n\u003C\u002Ftable>\n\n\u003Ch2>FCF Projections (5 Years)\u003C\u002Fh2>\n\u003Ctable>\n| Metric | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |\n{Revenue, FCF Margin, FCF — with assumptions noted}\n\u003C\u002Ftable>\n\n\u003Ch2>Valuation Bridge\u003C\u002Fh2>\n\u003Ctable>\n| Component | Value |\n| PV of Projected FCFs | $XXX |\n| PV of Terminal Value | $XXX |\n| Enterprise Value | $XXX |\n| Less: Net Debt | ($XXX) |\n| Equity Value | $XXX |\n| Shares Outstanding | XXX |\n| **Implied Share Price** | **$XXX** |\n\u003C\u002Ftable>\n\n\u003Ch2>Sensitivity Table: WACC vs Terminal Growth\u003C\u002Fh2>\n\u003Ctable>\n| WACC \\ Growth | 1.5% | 2.0% | 2.5% | 3.0% | 3.5% | 4.0% |\n{matrix of implied share prices, base case bolded}\n\u003C\u002Ftable>\n\u003Cp>Current market price: $XXX for reference.\u003C\u002Fp>\n\n\u003Ch2>Key Assumptions & Risks\u003C\u002Fh2>\n\u003Cul>{List all key assumptions and what could invalidate them}\u003C\u002Ful>\n\n\u003Ch2>Sanity Checks\u003C\u002Fh2>\n\u003Cul>{Implied multiples vs historical, terminal value concentration, etc.}\u003C\u002Ful>\n",[859],{"type":41,"tag":58,"props":860,"children":862},{"__ignoreMap":861},"",[863],{"type":46,"value":857},{"type":41,"tag":42,"props":865,"children":866},{},[867,869],{"type":46,"value":868},"All financial figures must use Daloopa citation format: ",{"type":41,"tag":58,"props":870,"children":872},{"className":871},[],[873],{"type":46,"value":874},"\u003Ca href=\"https:\u002F\u002Fdaloopa.com\u002Fsrc\u002F{fundamental_id}\">$X.XX million\u003C\u002Fa>",{"type":41,"tag":42,"props":876,"children":877},{},[878],{"type":46,"value":879},"Tell the user where the HTML report was saved.",{"type":41,"tag":42,"props":881,"children":882},{},[883],{"type":46,"value":884},"Summarize: implied price vs current price, key upside\u002Fdownside drivers, and the biggest sensitivity.",{"items":886,"total":1007},[887,905,921,933,953,975,995],{"slug":888,"name":888,"fn":889,"description":890,"org":891,"tags":892,"stars":24,"repoUrl":25,"updatedAt":26},"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},[893,896,899,902],{"name":894,"slug":895,"type":15},"Accessibility","accessibility",{"name":897,"slug":898,"type":15},"Charts","charts",{"name":900,"slug":901,"type":15},"Data Visualization","data-visualization",{"name":903,"slug":904,"type":15},"Design","design",{"slug":906,"name":906,"fn":907,"description":908,"org":909,"tags":910,"stars":24,"repoUrl":25,"updatedAt":920},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. 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Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[939,940,943,946,949],{"name":912,"slug":913,"type":15},{"name":941,"slug":942,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":944,"slug":945,"type":15},"SDK","sdk",{"name":947,"slug":948,"type":15},"Serverless","serverless",{"name":950,"slug":951,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":954,"name":954,"fn":955,"description":956,"org":957,"tags":958,"stars":24,"repoUrl":25,"updatedAt":974},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. 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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},[981,984,987,990,993],{"name":982,"slug":983,"type":15},"AI Infrastructure","ai-infrastructure",{"name":985,"slug":986,"type":15},"Cost Optimization","cost-optimization",{"name":988,"slug":989,"type":15},"LLM","llm",{"name":991,"slug":992,"type":15},"Performance","performance",{"name":972,"slug":973,"type":15},"2026-04-06T18:40:44.377464",{"slug":996,"name":996,"fn":997,"description":998,"org":999,"tags":1000,"stars":24,"repoUrl":25,"updatedAt":1006},"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},[1001,1002,1005],{"name":985,"slug":986,"type":15},{"name":1003,"slug":1004,"type":15},"Database","database",{"name":988,"slug":989,"type":15},"2026-04-06T18:41:08.513425",600,{"items":1009,"total":1206},[1010,1031,1054,1071,1087,1104,1123,1135,1149,1163,1175,1190],{"slug":1011,"name":1011,"fn":1012,"description":1013,"org":1014,"tags":1015,"stars":1028,"repoUrl":1029,"updatedAt":1030},"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},[1016,1019,1022,1025],{"name":1017,"slug":1018,"type":15},"Documents","documents",{"name":1020,"slug":1021,"type":15},"Healthcare","healthcare",{"name":1023,"slug":1024,"type":15},"Insurance","insurance",{"name":1026,"slug":1027,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":1032,"name":1032,"fn":1033,"description":1034,"org":1035,"tags":1036,"stars":1051,"repoUrl":1052,"updatedAt":1053},"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},[1037,1040,1042,1045,1048],{"name":1038,"slug":1039,"type":15},".NET","dotnet",{"name":1041,"slug":1032,"type":15},"ASP.NET Core",{"name":1043,"slug":1044,"type":15},"Blazor","blazor",{"name":1046,"slug":1047,"type":15},"C#","csharp",{"name":1049,"slug":1050,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1055,"name":1055,"fn":1056,"description":1057,"org":1058,"tags":1059,"stars":1051,"repoUrl":1052,"updatedAt":1070},"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},[1060,1063,1066,1069],{"name":1061,"slug":1062,"type":15},"Apps SDK","apps-sdk",{"name":1064,"slug":1065,"type":15},"ChatGPT","chatgpt",{"name":1067,"slug":1068,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1072,"name":1072,"fn":1073,"description":1074,"org":1075,"tags":1076,"stars":1051,"repoUrl":1052,"updatedAt":1086},"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},[1077,1080,1083],{"name":1078,"slug":1079,"type":15},"API Development","api-development",{"name":1081,"slug":1082,"type":15},"CLI","cli",{"name":1084,"slug":1085,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1088,"name":1088,"fn":1089,"description":1090,"org":1091,"tags":1092,"stars":1051,"repoUrl":1052,"updatedAt":1103},"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},[1093,1096,1099,1100],{"name":1094,"slug":1095,"type":15},"Cloudflare","cloudflare",{"name":1097,"slug":1098,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":941,"slug":942,"type":15},{"name":1101,"slug":1102,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1105,"name":1105,"fn":1106,"description":1107,"org":1108,"tags":1109,"stars":1051,"repoUrl":1052,"updatedAt":1122},"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},[1110,1113,1116,1119],{"name":1111,"slug":1112,"type":15},"Productivity","productivity",{"name":1114,"slug":1115,"type":15},"Project Management","project-management",{"name":1117,"slug":1118,"type":15},"Strategy","strategy",{"name":1120,"slug":1121,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1124,"name":1124,"fn":1125,"description":1126,"org":1127,"tags":1128,"stars":1051,"repoUrl":1052,"updatedAt":1134},"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},[1129,1130,1132,1133],{"name":903,"slug":904,"type":15},{"name":1131,"slug":1124,"type":15},"Figma",{"name":960,"slug":961,"type":15},{"name":1067,"slug":1068,"type":15},"2026-04-12T05:06:47.939943",{"slug":1136,"name":1136,"fn":1137,"description":1138,"org":1139,"tags":1140,"stars":1051,"repoUrl":1052,"updatedAt":1148},"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},[1141,1142,1145,1146,1147],{"name":903,"slug":904,"type":15},{"name":1143,"slug":1144,"type":15},"Design System","design-system",{"name":1131,"slug":1124,"type":15},{"name":960,"slug":961,"type":15},{"name":969,"slug":970,"type":15},"2026-05-10T05:59:52.971881",{"slug":1150,"name":1150,"fn":1151,"description":1152,"org":1153,"tags":1154,"stars":1051,"repoUrl":1052,"updatedAt":1162},"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},[1155,1156,1157,1160,1161],{"name":903,"slug":904,"type":15},{"name":1143,"slug":1144,"type":15},{"name":1158,"slug":1159,"type":15},"Documentation","documentation",{"name":1131,"slug":1124,"type":15},{"name":960,"slug":961,"type":15},"2026-05-16T06:07:47.821474",{"slug":1164,"name":1164,"fn":1165,"description":1166,"org":1167,"tags":1168,"stars":1051,"repoUrl":1052,"updatedAt":1174},"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},[1169,1170,1171,1172,1173],{"name":903,"slug":904,"type":15},{"name":1131,"slug":1124,"type":15},{"name":960,"slug":961,"type":15},{"name":969,"slug":970,"type":15},{"name":1049,"slug":1050,"type":15},"2026-05-16T06:07:40.583615",{"slug":1176,"name":1176,"fn":1177,"description":1178,"org":1179,"tags":1180,"stars":1051,"repoUrl":1052,"updatedAt":1189},"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},[1181,1184,1185,1188],{"name":1182,"slug":1183,"type":15},"Animation","animation",{"name":1084,"slug":1085,"type":15},{"name":1186,"slug":1187,"type":15},"Creative","creative",{"name":903,"slug":904,"type":15},"2026-05-02T05:31:48.48485",{"slug":1191,"name":1191,"fn":1192,"description":1193,"org":1194,"tags":1195,"stars":1051,"repoUrl":1052,"updatedAt":1205},"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},[1196,1197,1198,1201,1204],{"name":1186,"slug":1187,"type":15},{"name":903,"slug":904,"type":15},{"name":1199,"slug":1200,"type":15},"Image Generation","image-generation",{"name":1202,"slug":1203,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]