[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M718GF0NCQQGCW3F0ET95R11":3,"skill-same:01M718GF0NCQQGCW3F0ET95R11":87},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M718GF0NCQQGCW3F0ET95R11","ib-check-deck",null,"Investment banking presentation quality checker. Reviews a pitch deck or client-ready presentation for (1) number consistency across slides, (2) data-narrative alignment, (3) language polish against IB standards, (4) visual and formatting QC. Use whenever the user asks to review, check, QC, proof, or do a final pass on a deck, pitch, or client materials — including requests like \"check my numbers\", \"reconcile figures across slides\", \"is this client-ready\", or \"what am I missing before I send this out\".","anthropics\u002Ffinancial-services","anthropics","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4","01M697XGDPXJAVQ8391V2BCYTE","Anthropic","01M7188Y8CSYMMZ40A4B4N518V",41229,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Ffinancial-analysis\u002Fskills\u002Fib-check-deck\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"deck","check","ib check deck","check deck","pitch","use","missing","send","checker","for","slides","consistency","quality checker","qc","reviews","ready","do","alignment","standards","figures","2026-11-10 10:12:30",false,"---\nname: ib-check-deck\ndescription: Investment banking presentation quality checker. Reviews a pitch deck or client-ready presentation for (1) number consistency across slides, (2) data-narrative alignment, (3) language polish against IB standards, (4) visual and formatting QC. Use whenever the user asks to review, check, QC, proof, or do a final pass on a deck, pitch, or client materials — including requests like \"check my numbers\", \"reconcile figures across slides\", \"is this client-ready\", or \"what am I missing before I send this out\".\n---\n\n# IB Deck Checker\n\nPerform comprehensive QC on the presentation across four dimensions. Read every slide, then report findings.\n\n## Environment check\n\nThis skill works in both the PowerPoint add-in and chat. Identify which you're in before starting:\n\n- **Add-in** — read from the live open deck.\n- **Chat** — read from the uploaded `.pptx` file.\n\nThis is read-and-report only — no edits — so the workflow is identical in both.\n\n## Workflow\n\n### Read the deck\n\nPull text from every slide, keeping track of which slide each line came from. You'll need slide-level attribution for every finding (\"$500M appears on slides 3 and 8, but slide 15 shows $485M\"). A deck with 30 slides is too much to hold in working memory reliably — write the extracted text to a file so the number-checking script can process it.\n\nThe script expects markdown-ish input with slide markers. Format as:\n\n```\n## Slide 1\n[slide 1 text content]\n\n## Slide 2\n[slide 2 text content]\n```\n\n### 1. Number consistency\n\nRun the extraction script on what you collected:\n\n```bash\npython scripts\u002Fextract_numbers.py \u002Ftmp\u002Fdeck_content.md --check\n```\n\nIt normalizes units ($500M vs $500MM vs $500,000,000 → same number), categorizes values (revenue, EBITDA, multiples, margins), and flags when the same metric category shows conflicting values on different slides. This is the part most likely to catch something a human missed on the fifth read-through.\n\nBeyond what the script flags, verify:\n- Calculations are correct (totals sum, percentages add up, growth rates match the endpoints)\n- Unit style is consistent — the deck should pick one of $M or $MM and stick with it\n- Time periods are aligned — FY vs LTM vs quarterly, explicitly labeled\n\n### 2. Data-narrative alignment\n\nMap claims to the data that's supposed to support them. This is where decks go wrong quietly — someone edits the chart on slide 7 and forgets the narrative on slide 4.\n\n- Trend statements (\"declining margins\") → does the chart actually go that direction?\n- Market position claims (\"#1 player\") → revenue and share data support it?\n- Plausibility — \"#1 in a $100B market\" with $200M revenue is 0.2% share; that's not #1\n\n### 3. Language polish\n\nIB decks have a register. Scan for anything that breaks it: casual phrasing (\"pretty good\", \"a lot of\"), contractions, exclamation points, vague quantifiers without numbers, inconsistent terminology for the same concept.\n\nSee `references\u002Fib-terminology.md` for replacement patterns.\n\n### 4. Visual and formatting QC\n\nRun standard visual verification checks on each slide. You're looking for: missing chart source citations, missing axis labels, typography inconsistencies, number formatting drift (1,000 vs 1K within the same deck), date format drift, footnote and disclaimer gaps.\n\nVisual verification catches overlaps, overflow, and contrast issues that don't show up in text extraction. Don't skip it — a chart with no source citation looks the same as a properly sourced one in the text dump.\n\n## Output\n\nUse `references\u002Freport-format.md` as the structure. Categorize by severity:\n\n- **Critical** — number mismatches, factual errors, data contradicting narrative. These block client delivery.\n- **Important** — language, missing sources, terminology drift. Should fix.\n- **Minor** — font sizes, spacing, date formats. Polish.\n\nLead with criticals. If there aren't any, say so explicitly — \"no number inconsistencies found\" is a finding, not an absence of one.\n","# IB Deck Checker\n\nPerform comprehensive QC on the presentation across four dimensions. Read every slide, then report findings.\n\n## Environment check\n\nThis skill works in both the PowerPoint add-in and chat. Identify which you're in before starting:\n\n- **Add-in** — read from the live open deck.\n- **Chat** — read from the uploaded `.pptx` file.\n\nThis is read-and-report only — no edits — so the workflow is identical in both.\n\n## Workflow\n\n### Read the deck\n\nPull text from every slide, keeping track of which slide each line came from. You'll need slide-level attribution for every finding (\"$500M appears on slides 3 and 8, but slide 15 shows $485M\"). A deck with 30 slides is too much to hold in working memory reliably — write the extracted text to a file so the number-checking script can process it.\n\nThe script expects markdown-ish input with slide markers. Format as:\n\n```\n## Slide 1\n[slide 1 text content]\n\n## Slide 2\n[slide 2 text content]\n```\n\n### 1. Number consistency\n\nRun the extraction script on what you collected:\n\n```bash\npython scripts\u002Fextract_numbers.py \u002Ftmp\u002Fdeck_content.md --check\n```\n\nIt normalizes units ($500M vs $500MM vs $500,000,000 → same number), categorizes values (revenue, EBITDA, multiples, margins), and flags when the same metric category shows conflicting values on different slides. This is the part most likely to catch something a human missed on the fifth read-through.\n\nBeyond what the script flags, verify:\n- Calculations are correct (totals sum, percentages add up, growth rates match the endpoints)\n- Unit style is consistent — the deck should pick one of $M or $MM and stick with it\n- Time periods are aligned — FY vs LTM vs quarterly, explicitly labeled\n\n### 2. Data-narrative alignment\n\nMap claims to the data that's supposed to support them. This is where decks go wrong quietly — someone edits the chart on slide 7 and forgets the narrative on slide 4.\n\n- Trend statements (\"declining margins\") → does the chart actually go that direction?\n- Market position claims (\"#1 player\") → revenue and share data support it?\n- Plausibility — \"#1 in a $100B market\" with $200M revenue is 0.2% share; that's not #1\n\n### 3. Language polish\n\nIB decks have a register. Scan for anything that breaks it: casual phrasing (\"pretty good\", \"a lot of\"), contractions, exclamation points, vague quantifiers without numbers, inconsistent terminology for the same concept.\n\nSee `references\u002Fib-terminology.md` for replacement patterns.\n\n### 4. Visual and formatting QC\n\nRun standard visual verification checks on each slide. You're looking for: missing chart source citations, missing axis labels, typography inconsistencies, number formatting drift (1,000 vs 1K within the same deck), date format drift, footnote and disclaimer gaps.\n\nVisual verification catches overlaps, overflow, and contrast issues that don't show up in text extraction. Don't skip it — a chart with no source citation looks the same as a properly sourced one in the text dump.\n\n## Output\n\nUse `references\u002Freport-format.md` as the structure. Categorize by severity:\n\n- **Critical** — number mismatches, factual errors, data contradicting narrative. These block client delivery.\n- **Important** — language, missing sources, terminology drift. Should fix.\n- **Minor** — font sizes, spacing, date formats. Polish.\n\nLead with criticals. If there aren't any, say so explicitly — \"no number inconsistencies found\" is a finding, not an absence of one.\n",{"name":5,"description":7},"main","60565064557ca77b12f62aa7877f365d111c129d","plugins\u002Fvertical-plugins\u002Ffinancial-analysis\u002Fskills\u002Fib-check-deck",5744,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services","https:\u002F\u002Fgithub.com\u002Fanthropics","https:\u002F\u002Fanthropic.com","2026-10-29 01:23:24",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add anthropics\u002Ffinancial-services --skill ib-check-deck",{"tool":63,"command":64},"bunx","bunx skills add anthropics\u002Ffinancial-services --skill ib-check-deck",{"tool":66,"command":67},"pnpm","pnpm dlx skills add anthropics\u002Ffinancial-services --skill ib-check-deck","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Ffinancial-analysis\u002Fskills\u002Fib-check-deck\u002FSKILL.md",true,[71,77,81],{"path":72,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"references\u002Fib-terminology.md","REFERENCE","参考文档",2040,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Ffinancial-analysis\u002Fskills\u002Fib-check-deck\u002Freferences\u002Fib-terminology.md",{"path":78,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":79,"sourceHtmlUrl":80},"references\u002Freport-format.md",1431,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Ffinancial-analysis\u002Fskills\u002Fib-check-deck\u002Freferences\u002Freport-format.md",{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"scripts\u002Fextract_numbers.py","SCRIPT","脚本",10305,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Ffinancial-analysis\u002Fskills\u002Fib-check-deck\u002Fscripts\u002Fextract_numbers.py",[88,113,136,158,184,202],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":44},"01M718K18RVV0Z7T7JR4DDYCR9","value-creation-plan","Structure post-acquisition value creation plans with revenue, cost, and operational levers mapped to an EBITDA bridge. Includes 100-day priorities, KPI targets, and accountability frameworks. Use when planning post-close execution, preparing operating partner materials, or building a board-ready value creation roadmap. Triggers on \"value creation plan\", \"100-day plan\", \"post-close plan\", \"EBITDA bridge\", \"operating plan\", or \"value creation levers\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fvalue-creation-plan\u002FSKILL.md",[],[95,96,97,98,99,39,100,101,102,103,104,105,106,29,107,108,109,110,111,112],"value","creation","value creation plan","plan","operating","bridge","planning","frameworks","kpi","triggers","execution","plans","roadmap","when","materials","with","cost","acquisition",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":44},"01M718JXVXRBT0736V7KDW3EHC","unit-economics","Analyze unit economics for PE targets — ARR cohorts, LTV\u002FCAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software\u002FSaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on \"unit economics\", \"cohort analysis\", \"ARR analysis\", \"LTV CAC\", \"net retention\", \"revenue quality\", or \"customer economics\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Funit-economics\u002FSKILL.md",[],[120,121,122,123,124,125,33,126,104,127,29,108,128,129,130,131,132,133,134,135],"unit","economics","unit economics","cohort analysis","recurring","essential","retention","recurring revenue","saas","analysis","analyze","targets","arr","customer","revenue","cohort",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":142,"publishedAt":44},"01M718JV1463SCF8XND52PRN03","returns-analysis","Build quick IRR\u002FMOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on \"returns analysis\", \"IRR sensitivity\", \"MOIC table\", \"what's the return at\", \"model the returns\", or \"back of the envelope\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Freturns-analysis\u002FSKILL.md",[],[143,129,144,145,146,147,148,33,149,150,151,104,152,29,108,153,154,155,156,157],"returns analysis","returns","back","leverage","quick","model","sensitivity","testing","up","exit","growth","across","deal","build","models",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":170,"publishedAt":44},"01M718JRJYHENXRTAS2WES2J4E","portfolio-monitoring","Track and analyze portfolio company performance against plan. Ingests monthly\u002Fquarterly financial packages (Excel, PDF), extracts KPIs, flags variances to budget, and produces summary dashboards. Use when reviewing portfolio company financials, preparing board materials, or monitoring covenant compliance. Triggers on \"review portfolio company\", \"monthly financials\", \"how is [company] performing\", \"covenant check\", or \"portfolio update\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fportfolio-monitoring\u002FSKILL.md",[164,167],{"categoryNo":165,"categoryName":166,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":168,"categoryName":169,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000004","电子表格",[171,172,173,174,175,176,177,178,104,29,108,179,25,130,109,180,181,98,182,183],"portfolio monitoring","monitoring","portfolio","financials","PDF","xlsx","performance","company","review","packages","track","covenant","how",{"skillNo":185,"name":186,"nameZh":6,"description":187,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":188,"categories":189,"keywords":190,"publishedAt":44},"01M718JPCC86RSTX0ZH4XK26J7","ic-memo","Draft a structured investment committee memo for PE deal approval. Synthesizes due diligence findings, financial analysis, and deal terms into a professional IC-ready document. Use when preparing for investment committee, writing up a deal, or creating a formal recommendation. Triggers on \"write IC memo\", \"investment committee memo\", \"deal write-up\", \"prepare IC materials\", or \"recommendation memo\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fic-memo\u002FSKILL.md",[],[191,192,193,39,194,33,195,151,104,196,29,197,108,129,109,198,155,199,200,201],"ic memo","memo","recommendation memo","professional","recommendation","writing","document","draft","write","financial analysis","investment",{"skillNo":203,"name":204,"nameZh":6,"description":205,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":206,"categories":207,"keywords":211,"publishedAt":44},"01M718JK2B01WZQPFHVHKY25PD","deal-sourcing","PE deal sourcing workflow — discover target companies, check CRM for existing relationships, and draft personalized founder outreach emails. Use when sourcing new deals, prospecting companies in a sector, or reaching out to founders. Triggers on \"find companies\", \"source deals\", \"draft founder email\", \"check if we've seen this company\", or \"outreach to founder\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fdeal-sourcing\u002FSKILL.md",[208],{"categoryNo":209,"categoryName":210,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000005","邮件与沟通",[212,213,155,214,215,216,33,178,104,217,218,219,29,220,108,221,222,25,198,223],"sourcing","deal sourcing","target","discover","email","emails","prospecting","new","Existing","workflow","founders","find"]