[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-comps":3,"mdc-30kq1a-key":36,"related-repo-openai-comps":1024,"related-org-openai-comps":1147},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"comps","perform trading comparables valuation analysis","Trading comparables analysis with peer multiples and implied valuation",{"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},"Finance","finance",{"name":20,"slug":21,"type":15},"Trading","trading",{"name":23,"slug":24,"type":15},"Investment Banking","investment-banking",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102",null,465,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fdaloopa\u002Fskills\u002Fcomps","---\nname: comps\ndescription: Trading comparables analysis with peer multiples and implied valuation\n---\n\nBuild a trading comparables analysis 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. Identify Peer Group\nBased on the company's business model, sector, size, and competitive landscape, identify 5-10 comparable companies. Consider:\n- **Direct competitors** in the same market\n- **Business model peers** (similar revenue model even if different sector)\n- **Size peers** (similar market cap range)\n- **Growth profile peers** (similar growth rate)\n\nPrioritize relevance over size matching. A direct competitor at a different scale is more useful than a similar-sized company in a different industry.\n\nList the peer tickers and briefly justify each selection (1 sentence).\n\n## 3. Target Company Fundamentals\nCalculate 4 quarters backward from `latest_calendar_quarter`. Pull from Daloopa for the target company:\n- Revenue (compute trailing 4Q total)\n- EBITDA (compute trailing 4Q; if not available, use Op Income + D&A, label \"(calc.)\")\n- Net Income (trailing 4Q)\n- Diluted EPS (trailing 4Q sum)\n- Free Cash Flow (trailing 4Q; compute as OCF - CapEx, label \"(calc.)\")\n- Revenue YoY growth (most recent quarter)\n- Operating Margin (most recent quarter)\n- Net Margin (most recent quarter)\n\n## 4. Stock Prices & Valuation Multiples\nUse `get_stock_prices` (see `..\u002Fdata-access.md` Section 1.7) to pull current prices for the target AND all peers in a single batch call — pass all `company_ids` together with `dates` = 3 most recent calendar days.\n\nCompute valuation multiples by combining stock prices with the fundamentals pulled in Sections 3 and 5:\n- **Market Cap** = Close price × Diluted shares outstanding\n- **Enterprise Value** = Market Cap + Total Debt - Cash (from Daloopa balance sheet if available)\n- **P\u002FE (trailing)** = Market Cap \u002F Net Income (trailing 4Q)\n- **EV\u002FEBITDA** = EV \u002F EBITDA (trailing 4Q)\n- **P\u002FS** = Market Cap \u002F Revenue (trailing 4Q)\n- **P\u002FB** = Market Cap \u002F Total Equity\n- **FCF Yield** = FCF (trailing 4Q) \u002F Market Cap\n- **Dividend Yield** = Dividends Paid (trailing 4Q) \u002F Market Cap\n\nFor beta, PEG ratio, and forward multiples, use infra scripts, consensus data, or web search (see `..\u002Fdata-access.md` Sections 2-3).\n\nIf a peer isn't in Daloopa (no `company_id`), fall back to `..\u002Fdata-access.md` Section 2 resolution order for market data. If a peer ticker fails (delisted, no data), drop it and note why.\n\n## 5. Peer Fundamentals from Daloopa\nFor each peer that is available in Daloopa:\n- Look up the company\n- Calculate 4 quarters backward from `latest_calendar_quarter`. Pull revenue, operating income, net income for those periods.\n- Compute revenue growth YoY, operating margin, net margin\n\nFor peers not in Daloopa, rely on market data multiples only (see `..\u002Fdata-access.md` Section 2) and note the data source limitation.\n\n## 5.5. Peer Operational KPIs\n\nFor each company (target + all peers available in Daloopa), discover and pull company-specific operational KPIs. Use the sector taxonomy below 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\nPull the same 4 calendar quarters for each peer. Not all peers will have the same KPIs — build a sparse matrix and note which are comparable across the group vs company-specific.\n\nAdd KPI columns to the comps table in Section 6 where comparable metrics exist (e.g., subscriber growth, ARPU, units alongside P\u002FE and EV\u002FEBITDA). This shows whether valuation premiums are supported by operational outperformance.\n\n## 6. Build Comps Table\nCreate the main comparables table with these columns:\n| Company | Ticker | Mkt Cap | EV | P\u002FE | Fwd P\u002FE | EV\u002FEBITDA | P\u002FS | Rev Growth | Op Margin | Net Margin | FCF Yield |\n\nSort by market cap descending. Include:\n- **Peer median** row\n- **Peer mean** row\n- **Target company** row (highlighted \u002F separated)\n- Target's percentile rank within the peer group for each metric\n\n## 7. Implied Valuation\nApply peer group median and mean multiples to the target's fundamentals:\n\n| Methodology | Peer Median Multiple | Target Metric | Implied Value |\n|---|---|---|---|\n| P\u002FE | XX.Xx | $X.XX EPS | $XXX |\n| EV\u002FEBITDA | XX.Xx | $XXX EBITDA | $XXX |\n| P\u002FS | XX.Xx | $XXX Revenue | $XXX |\n| FCF Yield | X.X% | $XXX FCF | $XXX |\n\nFor each:\n- Implied Enterprise Value = Multiple × Target's Metric\n- Implied Equity Value = EV - Net Debt (for EV-based multiples) or direct (for equity multiples)\n- Implied Share Price = Equity Value \u002F Shares Outstanding\n\nCompute range (min to max implied price) and central tendency.\n\n## 8. Consensus Forward Estimates (if available)\nIf consensus estimates are available (see `..\u002Fdata-access.md` Section 3):\n- Add NTM (next twelve months) revenue and EPS estimates for target and each peer\n- Compute forward P\u002FE and forward EV\u002FEBITDA using consensus NTM estimates\n- Note where the target's forward multiples sit vs the peer group\n- Flag any peers with significant estimate revision trends\n\nIf consensus data is not available, use trailing multiples only and note the limitation.\n\n## 9. Premium\u002FDiscount Analysis\nAssess whether the target trades at a premium or discount to peers:\n- For each multiple, show target vs peer median as a % premium\u002Fdiscount\n- Consider whether a premium\u002Fdiscount is justified based on:\n  - Growth differential (higher growth = deserves premium)\n  - Margin differential (higher margins = deserves premium)\n  - Market position (leader vs challenger)\n  - Risk profile\n\n**Be honest about whether the premium is truly justified:**\n- A company can deserve a premium and still be overvalued if the premium has stretched too far beyond fundamentals. Quantify: how much growth differential is needed to justify the current premium? Is the company delivering that?\n- If the stock trades at a significant premium but growth is decelerating toward peer levels, flag the derating risk explicitly.\n- Don't default to \"premium is justified because it's the market leader\" — that's already in the price. What justifies the premium *expanding* or *sustaining* from here?\n- **Reference KPI outperformance as justification (or lack thereof).** Example: \"AAPL trades at 34x P\u002FE vs peer median 28x — premium partly justified by +14% Services growth vs peer median +8%, but Wearables decline (-2.2% YoY) is a drag peers don't have.\" If the target's KPIs are in line with or worse than peers, the premium is harder to defend.\n\n## 10. Save Report\nSave to `reports\u002F{TICKER}_comps.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}) — Comparable Companies Analysis\u003C\u002Fh1>\n\u003Cp>Generated: {date}\u003C\u002Fp>\n\n\u003Ch2>Summary\u003C\u002Fh2>\n{2-3 sentences: Where does the company trade relative to peers? Is it cheap or expensive and why?}\n\n\u003Ch2>Peer Group Selection\u003C\u002Fh2>\n\u003Ctable>\n| Peer | Ticker | Rationale |\n{table with justification for each peer}\n\u003C\u002Ftable>\n\n\u003Ch2>Comparables Table\u003C\u002Fh2>\n\u003Ctable>\n| Company | Ticker | Mkt Cap | P\u002FE | Fwd P\u002FE | EV\u002FEBITDA | P\u002FS | Rev Growth | Op Margin |\n{full comps table with target highlighted}\n| **Peer Median** | | | XX.Xx | XX.Xx | XX.Xx | XX.Xx | X.X% | X.X% |\n| **Peer Mean** | | | XX.Xx | XX.Xx | XX.Xx | XX.Xx | X.X% | X.X% |\n| **{TICKER}** | | | **XX.Xx** | **XX.Xx** | **XX.Xx** | **XX.Xx** | **X.X%** | **X.X%** |\n\u003C\u002Ftable>\n\n\u003Ch2>Target vs Peer Premium\u002FDiscount\u003C\u002Fh2>\n\u003Ctable>\n| Multiple | Target | Peer Median | Premium\u002FDiscount |\n{table showing where target is rich\u002Fcheap}\n\u003C\u002Ftable>\n\n\u003Ch2>Implied Valuation\u003C\u002Fh2>\n\u003Ctable>\n| Methodology | Multiple | Target Metric | Implied Price | vs Current |\n{table with implied values}\n\u003C\u002Ftable>\n\n\u003Ctable>\n| **Valuation Range** | **Low** | **Median** | **High** |\n| Implied Price | $XXX | $XXX | $XXX |\n| vs Current Price | -X% | +X% | +X% |\n\u003C\u002Ftable>\n\n\u003Ch2>Premium\u002FDiscount Justification\u003C\u002Fh2>\n{Analysis of whether current premium\u002Fdiscount is warranted}\n\n\u003Ch2>Peer Operational KPIs\u003C\u002Fh2>\n\u003Ctable>\n| KPI | {TICKER} | Peer 1 | Peer 2 | ... | Peer Median |\n{KPI comparison table — sparse where data unavailable, footnoted}\n\u003C\u002Ftable>\n\n\u003Ch2>Key Observations\u003C\u002Fh2>\n\u003Cul>{3-5 bullet points on relative valuation, standout metrics, peer group dynamics, KPI differentiation}\u003C\u002Ful>\n```\n\nAll financial figures from Daloopa must use citation format: `\u003Ca href=\"https:\u002F\u002Fdaloopa.com\u002Fsrc\u002F{fundamental_id}\">$X.XX million\u003C\u002Fa>`\n\nTell the user where the HTML report was saved.\n\nHighlight: where the stock trades relative to peers (premium\u002Fdiscount), the implied valuation range, and the most relevant multiple for this company.\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,49,77,82,89,102,155,161,166,209,214,219,225,237,280,286,322,327,410,422,441,447,452,476,488,494,499,592,597,602,608,613,618,655,661,666,788,793,811,816,822,834,857,862,868,873,909,917,960,966,986,991,1003,1014,1019],{"type":42,"tag":43,"props":44,"children":45},"element","p",{},[46],{"type":47,"value":48},"text","Build a trading comparables analysis for the company named in the user's request. If no ticker or company is provided, ask for one before proceeding.",{"type":42,"tag":43,"props":50,"children":51},{},[52,75],{"type":42,"tag":53,"props":54,"children":55},"strong",{},[56,58,65,67,73],{"type":47,"value":57},"Before starting, read ",{"type":42,"tag":59,"props":60,"children":62},"code",{"className":61},[],[63],{"type":47,"value":64},"..\u002Fdata-access.md",{"type":47,"value":66}," for data access methods and ",{"type":42,"tag":59,"props":68,"children":70},{"className":69},[],[71],{"type":47,"value":72},"..\u002Fdesign-system.md",{"type":47,"value":74}," for formatting conventions.",{"type":47,"value":76}," Follow the data access detection logic and design system throughout this skill.",{"type":42,"tag":43,"props":78,"children":79},{},[80],{"type":47,"value":81},"Follow these steps:",{"type":42,"tag":83,"props":84,"children":86},"h2",{"id":85},"_1-company-lookup",[87],{"type":47,"value":88},"1. Company Lookup",{"type":42,"tag":43,"props":90,"children":91},{},[92,94,100],{"type":47,"value":93},"Look up the company by ticker using ",{"type":42,"tag":59,"props":95,"children":97},{"className":96},[],[98],{"type":47,"value":99},"discover_companies",{"type":47,"value":101},". Capture:",{"type":42,"tag":103,"props":104,"children":105},"ul",{},[106,116,134,143],{"type":42,"tag":107,"props":108,"children":109},"li",{},[110],{"type":42,"tag":59,"props":111,"children":113},{"className":112},[],[114],{"type":47,"value":115},"company_id",{"type":42,"tag":107,"props":117,"children":118},{},[119,125,127,132],{"type":42,"tag":59,"props":120,"children":122},{"className":121},[],[123],{"type":47,"value":124},"latest_calendar_quarter",{"type":47,"value":126}," — anchor for all period calculations below (see ",{"type":42,"tag":59,"props":128,"children":130},{"className":129},[],[131],{"type":47,"value":64},{"type":47,"value":133}," Section 1.5)",{"type":42,"tag":107,"props":135,"children":136},{},[137],{"type":42,"tag":59,"props":138,"children":140},{"className":139},[],[141],{"type":47,"value":142},"latest_fiscal_quarter",{"type":42,"tag":107,"props":144,"children":145},{},[146,148,153],{"type":47,"value":147},"Firm name for report attribution (default: \"Daloopa\") — see ",{"type":42,"tag":59,"props":149,"children":151},{"className":150},[],[152],{"type":47,"value":64},{"type":47,"value":154}," Section 4.5",{"type":42,"tag":83,"props":156,"children":158},{"id":157},"_2-identify-peer-group",[159],{"type":47,"value":160},"2. Identify Peer Group",{"type":42,"tag":43,"props":162,"children":163},{},[164],{"type":47,"value":165},"Based on the company's business model, sector, size, and competitive landscape, identify 5-10 comparable companies. Consider:",{"type":42,"tag":103,"props":167,"children":168},{},[169,179,189,199],{"type":42,"tag":107,"props":170,"children":171},{},[172,177],{"type":42,"tag":53,"props":173,"children":174},{},[175],{"type":47,"value":176},"Direct competitors",{"type":47,"value":178}," in the same market",{"type":42,"tag":107,"props":180,"children":181},{},[182,187],{"type":42,"tag":53,"props":183,"children":184},{},[185],{"type":47,"value":186},"Business model peers",{"type":47,"value":188}," (similar revenue model even if different sector)",{"type":42,"tag":107,"props":190,"children":191},{},[192,197],{"type":42,"tag":53,"props":193,"children":194},{},[195],{"type":47,"value":196},"Size peers",{"type":47,"value":198}," (similar market cap range)",{"type":42,"tag":107,"props":200,"children":201},{},[202,207],{"type":42,"tag":53,"props":203,"children":204},{},[205],{"type":47,"value":206},"Growth profile peers",{"type":47,"value":208}," (similar growth rate)",{"type":42,"tag":43,"props":210,"children":211},{},[212],{"type":47,"value":213},"Prioritize relevance over size matching. A direct competitor at a different scale is more useful than a similar-sized company in a different industry.",{"type":42,"tag":43,"props":215,"children":216},{},[217],{"type":47,"value":218},"List the peer tickers and briefly justify each selection (1 sentence).",{"type":42,"tag":83,"props":220,"children":222},{"id":221},"_3-target-company-fundamentals",[223],{"type":47,"value":224},"3. Target Company Fundamentals",{"type":42,"tag":43,"props":226,"children":227},{},[228,230,235],{"type":47,"value":229},"Calculate 4 quarters backward from ",{"type":42,"tag":59,"props":231,"children":233},{"className":232},[],[234],{"type":47,"value":124},{"type":47,"value":236},". Pull from Daloopa for the target company:",{"type":42,"tag":103,"props":238,"children":239},{},[240,245,250,255,260,265,270,275],{"type":42,"tag":107,"props":241,"children":242},{},[243],{"type":47,"value":244},"Revenue (compute trailing 4Q total)",{"type":42,"tag":107,"props":246,"children":247},{},[248],{"type":47,"value":249},"EBITDA (compute trailing 4Q; if not available, use Op Income + D&A, label \"(calc.)\")",{"type":42,"tag":107,"props":251,"children":252},{},[253],{"type":47,"value":254},"Net Income (trailing 4Q)",{"type":42,"tag":107,"props":256,"children":257},{},[258],{"type":47,"value":259},"Diluted EPS (trailing 4Q sum)",{"type":42,"tag":107,"props":261,"children":262},{},[263],{"type":47,"value":264},"Free Cash Flow (trailing 4Q; compute as OCF - CapEx, label \"(calc.)\")",{"type":42,"tag":107,"props":266,"children":267},{},[268],{"type":47,"value":269},"Revenue YoY growth (most recent quarter)",{"type":42,"tag":107,"props":271,"children":272},{},[273],{"type":47,"value":274},"Operating Margin (most recent quarter)",{"type":42,"tag":107,"props":276,"children":277},{},[278],{"type":47,"value":279},"Net Margin (most recent quarter)",{"type":42,"tag":83,"props":281,"children":283},{"id":282},"_4-stock-prices-valuation-multiples",[284],{"type":47,"value":285},"4. Stock Prices & Valuation Multiples",{"type":42,"tag":43,"props":287,"children":288},{},[289,291,297,299,304,306,312,314,320],{"type":47,"value":290},"Use ",{"type":42,"tag":59,"props":292,"children":294},{"className":293},[],[295],{"type":47,"value":296},"get_stock_prices",{"type":47,"value":298}," (see ",{"type":42,"tag":59,"props":300,"children":302},{"className":301},[],[303],{"type":47,"value":64},{"type":47,"value":305}," Section 1.7) to pull current prices for the target AND all peers in a single batch call — pass all ",{"type":42,"tag":59,"props":307,"children":309},{"className":308},[],[310],{"type":47,"value":311},"company_ids",{"type":47,"value":313}," together with ",{"type":42,"tag":59,"props":315,"children":317},{"className":316},[],[318],{"type":47,"value":319},"dates",{"type":47,"value":321}," = 3 most recent calendar days.",{"type":42,"tag":43,"props":323,"children":324},{},[325],{"type":47,"value":326},"Compute valuation multiples by combining stock prices with the fundamentals pulled in Sections 3 and 5:",{"type":42,"tag":103,"props":328,"children":329},{},[330,340,350,360,370,380,390,400],{"type":42,"tag":107,"props":331,"children":332},{},[333,338],{"type":42,"tag":53,"props":334,"children":335},{},[336],{"type":47,"value":337},"Market Cap",{"type":47,"value":339}," = Close price × Diluted shares outstanding",{"type":42,"tag":107,"props":341,"children":342},{},[343,348],{"type":42,"tag":53,"props":344,"children":345},{},[346],{"type":47,"value":347},"Enterprise Value",{"type":47,"value":349}," = Market Cap + Total Debt - Cash (from Daloopa balance sheet if available)",{"type":42,"tag":107,"props":351,"children":352},{},[353,358],{"type":42,"tag":53,"props":354,"children":355},{},[356],{"type":47,"value":357},"P\u002FE (trailing)",{"type":47,"value":359}," = Market Cap \u002F Net Income (trailing 4Q)",{"type":42,"tag":107,"props":361,"children":362},{},[363,368],{"type":42,"tag":53,"props":364,"children":365},{},[366],{"type":47,"value":367},"EV\u002FEBITDA",{"type":47,"value":369}," = EV \u002F EBITDA (trailing 4Q)",{"type":42,"tag":107,"props":371,"children":372},{},[373,378],{"type":42,"tag":53,"props":374,"children":375},{},[376],{"type":47,"value":377},"P\u002FS",{"type":47,"value":379}," = Market Cap \u002F Revenue (trailing 4Q)",{"type":42,"tag":107,"props":381,"children":382},{},[383,388],{"type":42,"tag":53,"props":384,"children":385},{},[386],{"type":47,"value":387},"P\u002FB",{"type":47,"value":389}," = Market Cap \u002F Total Equity",{"type":42,"tag":107,"props":391,"children":392},{},[393,398],{"type":42,"tag":53,"props":394,"children":395},{},[396],{"type":47,"value":397},"FCF Yield",{"type":47,"value":399}," = FCF (trailing 4Q) \u002F Market Cap",{"type":42,"tag":107,"props":401,"children":402},{},[403,408],{"type":42,"tag":53,"props":404,"children":405},{},[406],{"type":47,"value":407},"Dividend Yield",{"type":47,"value":409}," = Dividends Paid (trailing 4Q) \u002F Market Cap",{"type":42,"tag":43,"props":411,"children":412},{},[413,415,420],{"type":47,"value":414},"For beta, PEG ratio, and forward multiples, use infra scripts, consensus data, or web search (see ",{"type":42,"tag":59,"props":416,"children":418},{"className":417},[],[419],{"type":47,"value":64},{"type":47,"value":421}," Sections 2-3).",{"type":42,"tag":43,"props":423,"children":424},{},[425,427,432,434,439],{"type":47,"value":426},"If a peer isn't in Daloopa (no ",{"type":42,"tag":59,"props":428,"children":430},{"className":429},[],[431],{"type":47,"value":115},{"type":47,"value":433},"), fall back to ",{"type":42,"tag":59,"props":435,"children":437},{"className":436},[],[438],{"type":47,"value":64},{"type":47,"value":440}," Section 2 resolution order for market data. If a peer ticker fails (delisted, no data), drop it and note why.",{"type":42,"tag":83,"props":442,"children":444},{"id":443},"_5-peer-fundamentals-from-daloopa",[445],{"type":47,"value":446},"5. Peer Fundamentals from Daloopa",{"type":42,"tag":43,"props":448,"children":449},{},[450],{"type":47,"value":451},"For each peer that is available in Daloopa:",{"type":42,"tag":103,"props":453,"children":454},{},[455,460,471],{"type":42,"tag":107,"props":456,"children":457},{},[458],{"type":47,"value":459},"Look up the company",{"type":42,"tag":107,"props":461,"children":462},{},[463,464,469],{"type":47,"value":229},{"type":42,"tag":59,"props":465,"children":467},{"className":466},[],[468],{"type":47,"value":124},{"type":47,"value":470},". Pull revenue, operating income, net income for those periods.",{"type":42,"tag":107,"props":472,"children":473},{},[474],{"type":47,"value":475},"Compute revenue growth YoY, operating margin, net margin",{"type":42,"tag":43,"props":477,"children":478},{},[479,481,486],{"type":47,"value":480},"For peers not in Daloopa, rely on market data multiples only (see ",{"type":42,"tag":59,"props":482,"children":484},{"className":483},[],[485],{"type":47,"value":64},{"type":47,"value":487}," Section 2) and note the data source limitation.",{"type":42,"tag":83,"props":489,"children":491},{"id":490},"_55-peer-operational-kpis",[492],{"type":47,"value":493},"5.5. Peer Operational KPIs",{"type":42,"tag":43,"props":495,"children":496},{},[497],{"type":47,"value":498},"For each company (target + all peers available in Daloopa), discover and pull company-specific operational KPIs. Use the sector taxonomy below to know what to search for:",{"type":42,"tag":103,"props":500,"children":501},{},[502,512,522,532,542,552,562,572,582],{"type":42,"tag":107,"props":503,"children":504},{},[505,510],{"type":42,"tag":53,"props":506,"children":507},{},[508],{"type":47,"value":509},"SaaS\u002FCloud",{"type":47,"value":511},": ARR, net revenue retention, RPO\u002FcRPO, customers >$100K, cloud gross margin",{"type":42,"tag":107,"props":513,"children":514},{},[515,520],{"type":42,"tag":53,"props":516,"children":517},{},[518],{"type":47,"value":519},"Consumer Tech",{"type":47,"value":521},": DAU\u002FMAU, ARPU, engagement metrics, installed base, paid subscribers",{"type":42,"tag":107,"props":523,"children":524},{},[525,530],{"type":42,"tag":53,"props":526,"children":527},{},[528],{"type":47,"value":529},"E-commerce\u002FMarketplace",{"type":47,"value":531},": GMV, take rate, active buyers\u002Fsellers, order frequency",{"type":42,"tag":107,"props":533,"children":534},{},[535,540],{"type":42,"tag":53,"props":536,"children":537},{},[538],{"type":47,"value":539},"Retail",{"type":47,"value":541},": same-store sales, store count, average ticket, transactions",{"type":42,"tag":107,"props":543,"children":544},{},[545,550],{"type":42,"tag":53,"props":546,"children":547},{},[548],{"type":47,"value":549},"Telecom\u002FMedia",{"type":47,"value":551},": subscribers, churn, ARPU, content spend",{"type":42,"tag":107,"props":553,"children":554},{},[555,560],{"type":42,"tag":53,"props":556,"children":557},{},[558],{"type":47,"value":559},"Hardware",{"type":47,"value":561},": units shipped, ASP, attach rate, installed base",{"type":42,"tag":107,"props":563,"children":564},{},[565,570],{"type":42,"tag":53,"props":566,"children":567},{},[568],{"type":47,"value":569},"Financial Services",{"type":47,"value":571},": AUM, NIM, loan growth, credit quality metrics, fee income ratio",{"type":42,"tag":107,"props":573,"children":574},{},[575,580],{"type":42,"tag":53,"props":576,"children":577},{},[578],{"type":47,"value":579},"Pharma\u002FBiotech",{"type":47,"value":581},": pipeline stage, patient starts, scripts, market share",{"type":42,"tag":107,"props":583,"children":584},{},[585,590],{"type":42,"tag":53,"props":586,"children":587},{},[588],{"type":47,"value":589},"Industrials\u002FEnergy",{"type":47,"value":591},": backlog, book-to-bill, utilization, production volumes, reserves",{"type":42,"tag":43,"props":593,"children":594},{},[595],{"type":47,"value":596},"Pull the same 4 calendar quarters for each peer. Not all peers will have the same KPIs — build a sparse matrix and note which are comparable across the group vs company-specific.",{"type":42,"tag":43,"props":598,"children":599},{},[600],{"type":47,"value":601},"Add KPI columns to the comps table in Section 6 where comparable metrics exist (e.g., subscriber growth, ARPU, units alongside P\u002FE and EV\u002FEBITDA). This shows whether valuation premiums are supported by operational outperformance.",{"type":42,"tag":83,"props":603,"children":605},{"id":604},"_6-build-comps-table",[606],{"type":47,"value":607},"6. Build Comps Table",{"type":42,"tag":43,"props":609,"children":610},{},[611],{"type":47,"value":612},"Create the main comparables table with these columns:\n| Company | Ticker | Mkt Cap | EV | P\u002FE | Fwd P\u002FE | EV\u002FEBITDA | P\u002FS | Rev Growth | Op Margin | Net Margin | FCF Yield |",{"type":42,"tag":43,"props":614,"children":615},{},[616],{"type":47,"value":617},"Sort by market cap descending. Include:",{"type":42,"tag":103,"props":619,"children":620},{},[621,631,640,650],{"type":42,"tag":107,"props":622,"children":623},{},[624,629],{"type":42,"tag":53,"props":625,"children":626},{},[627],{"type":47,"value":628},"Peer median",{"type":47,"value":630}," row",{"type":42,"tag":107,"props":632,"children":633},{},[634,639],{"type":42,"tag":53,"props":635,"children":636},{},[637],{"type":47,"value":638},"Peer mean",{"type":47,"value":630},{"type":42,"tag":107,"props":641,"children":642},{},[643,648],{"type":42,"tag":53,"props":644,"children":645},{},[646],{"type":47,"value":647},"Target company",{"type":47,"value":649}," row (highlighted \u002F separated)",{"type":42,"tag":107,"props":651,"children":652},{},[653],{"type":47,"value":654},"Target's percentile rank within the peer group for each metric",{"type":42,"tag":83,"props":656,"children":658},{"id":657},"_7-implied-valuation",[659],{"type":47,"value":660},"7. 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Consensus Forward Estimates (if available)",{"type":42,"tag":43,"props":823,"children":824},{},[825,827,832],{"type":47,"value":826},"If consensus estimates are available (see ",{"type":42,"tag":59,"props":828,"children":830},{"className":829},[],[831],{"type":47,"value":64},{"type":47,"value":833}," Section 3):",{"type":42,"tag":103,"props":835,"children":836},{},[837,842,847,852],{"type":42,"tag":107,"props":838,"children":839},{},[840],{"type":47,"value":841},"Add NTM (next twelve months) revenue and EPS estimates for target and each peer",{"type":42,"tag":107,"props":843,"children":844},{},[845],{"type":47,"value":846},"Compute forward P\u002FE and forward EV\u002FEBITDA using consensus NTM estimates",{"type":42,"tag":107,"props":848,"children":849},{},[850],{"type":47,"value":851},"Note where the target's forward multiples sit vs the peer group",{"type":42,"tag":107,"props":853,"children":854},{},[855],{"type":47,"value":856},"Flag any peers with significant estimate revision trends",{"type":42,"tag":43,"props":858,"children":859},{},[860],{"type":47,"value":861},"If consensus data is not available, use trailing multiples only and note the limitation.",{"type":42,"tag":83,"props":863,"children":865},{"id":864},"_9-premiumdiscount-analysis",[866],{"type":47,"value":867},"9. Premium\u002FDiscount Analysis",{"type":42,"tag":43,"props":869,"children":870},{},[871],{"type":47,"value":872},"Assess whether the target trades at a premium or discount to peers:",{"type":42,"tag":103,"props":874,"children":875},{},[876,881],{"type":42,"tag":107,"props":877,"children":878},{},[879],{"type":47,"value":880},"For each multiple, show target vs peer median as a % premium\u002Fdiscount",{"type":42,"tag":107,"props":882,"children":883},{},[884,886],{"type":47,"value":885},"Consider whether a premium\u002Fdiscount is justified based on:\n",{"type":42,"tag":103,"props":887,"children":888},{},[889,894,899,904],{"type":42,"tag":107,"props":890,"children":891},{},[892],{"type":47,"value":893},"Growth differential (higher growth = deserves premium)",{"type":42,"tag":107,"props":895,"children":896},{},[897],{"type":47,"value":898},"Margin differential (higher margins = deserves premium)",{"type":42,"tag":107,"props":900,"children":901},{},[902],{"type":47,"value":903},"Market position (leader vs challenger)",{"type":42,"tag":107,"props":905,"children":906},{},[907],{"type":47,"value":908},"Risk profile",{"type":42,"tag":43,"props":910,"children":911},{},[912],{"type":42,"tag":53,"props":913,"children":914},{},[915],{"type":47,"value":916},"Be honest about whether the premium is truly justified:",{"type":42,"tag":103,"props":918,"children":919},{},[920,925,930,950],{"type":42,"tag":107,"props":921,"children":922},{},[923],{"type":47,"value":924},"A company can deserve a premium and still be overvalued if the premium has stretched too far beyond fundamentals. Quantify: how much growth differential is needed to justify the current premium? Is the company delivering that?",{"type":42,"tag":107,"props":926,"children":927},{},[928],{"type":47,"value":929},"If the stock trades at a significant premium but growth is decelerating toward peer levels, flag the derating risk explicitly.",{"type":42,"tag":107,"props":931,"children":932},{},[933,935,941,943,948],{"type":47,"value":934},"Don't default to \"premium is justified because it's the market leader\" — that's already in the price. What justifies the premium ",{"type":42,"tag":936,"props":937,"children":938},"em",{},[939],{"type":47,"value":940},"expanding",{"type":47,"value":942}," or ",{"type":42,"tag":936,"props":944,"children":945},{},[946],{"type":47,"value":947},"sustaining",{"type":47,"value":949}," from here?",{"type":42,"tag":107,"props":951,"children":952},{},[953,958],{"type":42,"tag":53,"props":954,"children":955},{},[956],{"type":47,"value":957},"Reference KPI outperformance as justification (or lack thereof).",{"type":47,"value":959}," Example: \"AAPL trades at 34x P\u002FE vs peer median 28x — premium partly justified by +14% Services growth vs peer median +8%, but Wearables decline (-2.2% YoY) is a drag peers don't have.\" If the target's KPIs are in line with or worse than peers, the premium is harder to defend.",{"type":42,"tag":83,"props":961,"children":963},{"id":962},"_10-save-report",[964],{"type":47,"value":965},"10. Save Report",{"type":42,"tag":43,"props":967,"children":968},{},[969,971,977,979,984],{"type":47,"value":970},"Save to ",{"type":42,"tag":59,"props":972,"children":974},{"className":973},[],[975],{"type":47,"value":976},"reports\u002F{TICKER}_comps.html",{"type":47,"value":978}," using the HTML report template from ",{"type":42,"tag":59,"props":980,"children":982},{"className":981},[],[983],{"type":47,"value":72},{"type":47,"value":985},". Write the full analysis as styled HTML with the design system CSS inlined. This is the final deliverable — no intermediate markdown step needed.",{"type":42,"tag":43,"props":987,"children":988},{},[989],{"type":47,"value":990},"Structure the report with these sections:",{"type":42,"tag":992,"props":993,"children":997},"pre",{"className":994,"code":996,"language":47},[995],"language-text","\u003Ch1>{Company Name} ({TICKER}) — Comparable Companies Analysis\u003C\u002Fh1>\n\u003Cp>Generated: {date}\u003C\u002Fp>\n\n\u003Ch2>Summary\u003C\u002Fh2>\n{2-3 sentences: Where does the company trade relative to peers? Is it cheap or expensive and why?}\n\n\u003Ch2>Peer Group Selection\u003C\u002Fh2>\n\u003Ctable>\n| Peer | Ticker | Rationale |\n{table with justification for each peer}\n\u003C\u002Ftable>\n\n\u003Ch2>Comparables Table\u003C\u002Fh2>\n\u003Ctable>\n| Company | Ticker | Mkt Cap | P\u002FE | Fwd P\u002FE | EV\u002FEBITDA | P\u002FS | Rev Growth | Op Margin |\n{full comps table with target highlighted}\n| **Peer Median** | | | XX.Xx | XX.Xx | XX.Xx | XX.Xx | X.X% | X.X% |\n| **Peer Mean** | | | XX.Xx | XX.Xx | XX.Xx | XX.Xx | X.X% | X.X% |\n| **{TICKER}** | | | **XX.Xx** | **XX.Xx** | **XX.Xx** | **XX.Xx** | **X.X%** | **X.X%** |\n\u003C\u002Ftable>\n\n\u003Ch2>Target vs Peer Premium\u002FDiscount\u003C\u002Fh2>\n\u003Ctable>\n| Multiple | Target | Peer Median | Premium\u002FDiscount |\n{table showing where target is rich\u002Fcheap}\n\u003C\u002Ftable>\n\n\u003Ch2>Implied Valuation\u003C\u002Fh2>\n\u003Ctable>\n| Methodology | Multiple | Target Metric | Implied Price | vs Current |\n{table with implied values}\n\u003C\u002Ftable>\n\n\u003Ctable>\n| **Valuation Range** | **Low** | **Median** | **High** |\n| Implied Price | $XXX | $XXX | $XXX |\n| vs Current Price | -X% | +X% | +X% |\n\u003C\u002Ftable>\n\n\u003Ch2>Premium\u002FDiscount Justification\u003C\u002Fh2>\n{Analysis of whether current premium\u002Fdiscount is warranted}\n\n\u003Ch2>Peer Operational KPIs\u003C\u002Fh2>\n\u003Ctable>\n| KPI | {TICKER} | Peer 1 | Peer 2 | ... | Peer Median |\n{KPI comparison table — sparse where data unavailable, footnoted}\n\u003C\u002Ftable>\n\n\u003Ch2>Key Observations\u003C\u002Fh2>\n\u003Cul>{3-5 bullet points on relative valuation, standout metrics, peer group dynamics, KPI differentiation}\u003C\u002Ful>\n",[998],{"type":42,"tag":59,"props":999,"children":1001},{"__ignoreMap":1000},"",[1002],{"type":47,"value":996},{"type":42,"tag":43,"props":1004,"children":1005},{},[1006,1008],{"type":47,"value":1007},"All financial figures from Daloopa must use citation format: ",{"type":42,"tag":59,"props":1009,"children":1011},{"className":1010},[],[1012],{"type":47,"value":1013},"\u003Ca href=\"https:\u002F\u002Fdaloopa.com\u002Fsrc\u002F{fundamental_id}\">$X.XX million\u003C\u002Fa>",{"type":42,"tag":43,"props":1015,"children":1016},{},[1017],{"type":47,"value":1018},"Tell the user where the HTML report was saved.",{"type":42,"tag":43,"props":1020,"children":1021},{},[1022],{"type":47,"value":1023},"Highlight: where the stock trades relative to peers (premium\u002Fdiscount), the implied valuation range, and the most relevant multiple for this company.",{"items":1025,"total":1146},[1026,1044,1060,1072,1092,1114,1134],{"slug":1027,"name":1027,"fn":1028,"description":1029,"org":1030,"tags":1031,"stars":25,"repoUrl":26,"updatedAt":27},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. 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Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1078,1079,1082,1085,1088],{"name":1051,"slug":1052,"type":15},{"name":1080,"slug":1081,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1083,"slug":1084,"type":15},"SDK","sdk",{"name":1086,"slug":1087,"type":15},"Serverless","serverless",{"name":1089,"slug":1090,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":1093,"name":1093,"fn":1094,"description":1095,"org":1096,"tags":1097,"stars":25,"repoUrl":26,"updatedAt":1113},"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},[1098,1101,1104,1107,1110],{"name":1099,"slug":1100,"type":15},"Frontend","frontend",{"name":1102,"slug":1103,"type":15},"React","react",{"name":1105,"slug":1106,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":1108,"slug":1109,"type":15},"UI Components","ui-components",{"name":1111,"slug":1112,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":1115,"name":1115,"fn":1116,"description":1117,"org":1118,"tags":1119,"stars":25,"repoUrl":26,"updatedAt":1133},"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},[1120,1123,1126,1129,1132],{"name":1121,"slug":1122,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1124,"slug":1125,"type":15},"Cost Optimization","cost-optimization",{"name":1127,"slug":1128,"type":15},"LLM","llm",{"name":1130,"slug":1131,"type":15},"Performance","performance",{"name":1111,"slug":1112,"type":15},"2026-04-06T18:40:44.377464",{"slug":1135,"name":1135,"fn":1136,"description":1137,"org":1138,"tags":1139,"stars":25,"repoUrl":26,"updatedAt":1145},"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},[1140,1141,1144],{"name":1124,"slug":1125,"type":15},{"name":1142,"slug":1143,"type":15},"Database","database",{"name":1127,"slug":1128,"type":15},"2026-04-06T18:41:08.513425",600,{"items":1148,"total":1345},[1149,1170,1193,1210,1226,1243,1262,1274,1288,1302,1314,1329],{"slug":1150,"name":1150,"fn":1151,"description":1152,"org":1153,"tags":1154,"stars":1167,"repoUrl":1168,"updatedAt":1169},"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},[1155,1158,1161,1164],{"name":1156,"slug":1157,"type":15},"Documents","documents",{"name":1159,"slug":1160,"type":15},"Healthcare","healthcare",{"name":1162,"slug":1163,"type":15},"Insurance","insurance",{"name":1165,"slug":1166,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":1171,"name":1171,"fn":1172,"description":1173,"org":1174,"tags":1175,"stars":1190,"repoUrl":1191,"updatedAt":1192},"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},[1176,1179,1181,1184,1187],{"name":1177,"slug":1178,"type":15},".NET","dotnet",{"name":1180,"slug":1171,"type":15},"ASP.NET Core",{"name":1182,"slug":1183,"type":15},"Blazor","blazor",{"name":1185,"slug":1186,"type":15},"C#","csharp",{"name":1188,"slug":1189,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1194,"name":1194,"fn":1195,"description":1196,"org":1197,"tags":1198,"stars":1190,"repoUrl":1191,"updatedAt":1209},"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},[1199,1202,1205,1208],{"name":1200,"slug":1201,"type":15},"Apps SDK","apps-sdk",{"name":1203,"slug":1204,"type":15},"ChatGPT","chatgpt",{"name":1206,"slug":1207,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1211,"name":1211,"fn":1212,"description":1213,"org":1214,"tags":1215,"stars":1190,"repoUrl":1191,"updatedAt":1225},"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},[1216,1219,1222],{"name":1217,"slug":1218,"type":15},"API Development","api-development",{"name":1220,"slug":1221,"type":15},"CLI","cli",{"name":1223,"slug":1224,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1227,"name":1227,"fn":1228,"description":1229,"org":1230,"tags":1231,"stars":1190,"repoUrl":1191,"updatedAt":1242},"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},[1232,1235,1238,1239],{"name":1233,"slug":1234,"type":15},"Cloudflare","cloudflare",{"name":1236,"slug":1237,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1080,"slug":1081,"type":15},{"name":1240,"slug":1241,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1244,"name":1244,"fn":1245,"description":1246,"org":1247,"tags":1248,"stars":1190,"repoUrl":1191,"updatedAt":1261},"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},[1249,1252,1255,1258],{"name":1250,"slug":1251,"type":15},"Productivity","productivity",{"name":1253,"slug":1254,"type":15},"Project Management","project-management",{"name":1256,"slug":1257,"type":15},"Strategy","strategy",{"name":1259,"slug":1260,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1263,"name":1263,"fn":1264,"description":1265,"org":1266,"tags":1267,"stars":1190,"repoUrl":1191,"updatedAt":1273},"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},[1268,1269,1271,1272],{"name":1042,"slug":1043,"type":15},{"name":1270,"slug":1263,"type":15},"Figma",{"name":1099,"slug":1100,"type":15},{"name":1206,"slug":1207,"type":15},"2026-04-12T05:06:47.939943",{"slug":1275,"name":1275,"fn":1276,"description":1277,"org":1278,"tags":1279,"stars":1190,"repoUrl":1191,"updatedAt":1287},"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},[1280,1281,1284,1285,1286],{"name":1042,"slug":1043,"type":15},{"name":1282,"slug":1283,"type":15},"Design System","design-system",{"name":1270,"slug":1263,"type":15},{"name":1099,"slug":1100,"type":15},{"name":1108,"slug":1109,"type":15},"2026-05-10T05:59:52.971881",{"slug":1289,"name":1289,"fn":1290,"description":1291,"org":1292,"tags":1293,"stars":1190,"repoUrl":1191,"updatedAt":1301},"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},[1294,1295,1296,1299,1300],{"name":1042,"slug":1043,"type":15},{"name":1282,"slug":1283,"type":15},{"name":1297,"slug":1298,"type":15},"Documentation","documentation",{"name":1270,"slug":1263,"type":15},{"name":1099,"slug":1100,"type":15},"2026-05-16T06:07:47.821474",{"slug":1303,"name":1303,"fn":1304,"description":1305,"org":1306,"tags":1307,"stars":1190,"repoUrl":1191,"updatedAt":1313},"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},[1308,1309,1310,1311,1312],{"name":1042,"slug":1043,"type":15},{"name":1270,"slug":1263,"type":15},{"name":1099,"slug":1100,"type":15},{"name":1108,"slug":1109,"type":15},{"name":1188,"slug":1189,"type":15},"2026-05-16T06:07:40.583615",{"slug":1315,"name":1315,"fn":1316,"description":1317,"org":1318,"tags":1319,"stars":1190,"repoUrl":1191,"updatedAt":1328},"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},[1320,1323,1324,1327],{"name":1321,"slug":1322,"type":15},"Animation","animation",{"name":1223,"slug":1224,"type":15},{"name":1325,"slug":1326,"type":15},"Creative","creative",{"name":1042,"slug":1043,"type":15},"2026-05-02T05:31:48.48485",{"slug":1330,"name":1330,"fn":1331,"description":1332,"org":1333,"tags":1334,"stars":1190,"repoUrl":1191,"updatedAt":1344},"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},[1335,1336,1337,1340,1343],{"name":1325,"slug":1326,"type":15},{"name":1042,"slug":1043,"type":15},{"name":1338,"slug":1339,"type":15},"Image Generation","image-generation",{"name":1341,"slug":1342,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]