[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71HDQVF9F7501BK1KDQDMMQ":3,"skill-same:01M71HDQVF9F7501BK1KDQDMMQ":76},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":49,"ownerHtmlUrl":50,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":51,"install":52,"resources":65},"01M71HDQVF9F7501BK1KDQDMMQ","ma-playbook",null,"M&A strategy for acquiring companies or being acquired. Due diligence, valuation, integration, and deal structure. Use when evaluating acquisitions, preparing for acquisition, M&A due diligence, integration planning, or deal negotiation.","marshadgani\u002FArshad.AI","marshadgani","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F275367399?v=4","01M71G2BP4YMZ4AX5YY0QBHAZH","01M71G2BPPHHFRMHQAKJTZPGK4",1,"MIT","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fclaude-skills\u002Fma-playbook\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32],"ma playbook","playbook","planning","for","strategy","deal structure","use","when","acquisition","deal","structure","2026","integration","negotiation","valuation","2026-11-10 10:12:30",false,"---\nname: \"ma-playbook\"\ndescription: \"M&A strategy for acquiring companies or being acquired. Due diligence, valuation, integration, and deal structure. Use when evaluating acquisitions, preparing for acquisition, M&A due diligence, integration planning, or deal negotiation.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: c-level\n  domain: ma-strategy\n  updated: 2026-03-05\n---\n\n# M&A Playbook\n\nFrameworks for both sides of M&A: acquiring companies and being acquired.\n\n## Keywords\nM&A, mergers and acquisitions, due diligence, acquisition, acqui-hire, integration, deal structure, valuation, LOI, term sheet, earnout\n\n## Quick Start\n\n**Acquiring:** Start with strategic rationale → target screening → due diligence → valuation → negotiation → integration.\n\n**Being Acquired:** Start with readiness assessment → data room prep → advisor selection → negotiation → transition.\n\n## When You're Acquiring\n\n### Strategic Rationale (answer before anything else)\n- **Buy vs Build:** Can you build this faster\u002Fcheaper? If yes, don't acquire.\n- **Acqui-hire vs Product vs Market:** What are you really buying? Talent? Technology? Customers?\n- **Integration complexity:** How hard is it to merge this into your company?\n\n### Due Diligence Checklist\n| Domain | Key Questions | Red Flags |\n|--------|--------------|-----------|\n| Financial | Revenue quality, customer concentration, burn rate | >30% revenue from 1 customer |\n| Technical | Code quality, tech debt, architecture fit | Monolith with no tests |\n| Legal | IP ownership, pending litigation, contracts | Key IP owned by individuals |\n| People | Key person risk, culture fit, retention risk | Founders have no lockup\u002Fearnout |\n| Market | Market position, competitive threats | Declining market share |\n| Customers | Churn rate, NPS, contract terms | High churn, short contracts |\n\n### Valuation Approaches\n\nThe ranges below are **illustrative, not current market data** — always verify against current market comps before using them in a model or negotiation.\n\n- **Revenue multiple:** Industry-dependent (illustrative range: 2-15x ARR for SaaS, varying with growth rate, NRR, and rate environment)\n- **Comparable transactions:** What similar companies sold for — the most defensible anchor\n- **DCF:** For profitable companies only (most startups: use multiples)\n- **Acqui-hire:** Illustrative range: $1-3M per engineer in hot talent markets\n\n**Sources to verify against (check the latest edition):** the SaaS Capital Index (private SaaS revenue multiples, updated monthly), Software Equity Group (SEG) Annual\u002FQuarterly SaaS M&A Reports (transaction multiples), and Aventis Advisors' SaaS valuation multiples reports. Cross-check at least two before anchoring a price.\n\n### Integration Frameworks\nSee `references\u002Fintegration-playbook.md` for the 100-day integration plan.\n\n## When You're Being Acquired\n\n### Readiness Signals\n- Inbound interest from strategic buyers\n- Market consolidation happening around you\n- Fundraising becomes harder than operating\n- Founder ready for a transition\n\n### Preparation (6-12 months before)\n1. Clean up financials (audited if possible)\n2. Document all IP and contracts\n3. Reduce customer concentration\n4. Lock up key employees\n5. Build the data room\n6. Engage an M&A advisor\n\n### Negotiation Points\n| Term | What to Watch | Your Leverage |\n|------|--------------|---------------|\n| Valuation | Earnout traps (unreachable targets) | Multiple competing offers |\n| Earnout | Milestone definitions, measurement period | Cash-heavy vs earnout-heavy split |\n| Lockup | Duration, conditions | Your replaceability |\n| Rep & warranties | Scope of liability | Escrow vs indemnification cap |\n| Employee retention | Who gets offers, at what terms | Key person dependencies |\n\n## Red Flags (Both Sides)\n\n- No clear strategic rationale beyond \"it's a good deal\"\n- Culture clash visible during due diligence and ignored\n- Key people not locked in before close\n- Integration plan doesn't exist or is \"we'll figure it out\"\n- Valuation based on projections, not actuals\n\n## Verification Loop (before any LOI or signature)\n\nThis skill frames the deal; two sibling skills verify it. Hand off — don't duplicate:\n\n1. **Legal terms** → `general-counsel-advisor`: run the LOI\u002Fterm sheet through `..\u002Fgeneral-counsel-advisor\u002Fscripts\u002Fterm_sheet_analyzer.py` (12-dimension 0-100 score) and the definitive docs through `..\u002Fgeneral-counsel-advisor\u002Fscripts\u002Fcontract_risk_scanner.py` (12 founder-killer patterns: earnout traps, uncapped indemnity, vague IP, etc.). Any 🔴 finding goes to outside counsel before signing.\n2. **Data diligence** → `chief-data-officer-advisor`: run `..\u002Fchief-data-officer-advisor\u002Fscripts\u002Fai_training_data_audit.py` (training-data rights, GDPR Art. 6 basis) and `..\u002Fchief-data-officer-advisor\u002Fscripts\u002Fdata_asset_valuator.py` (data-asset value, M&A multiplier with carve-out penalties) on the target's data estate. Undocumented consent provenance is a price-reduction or walk-away item.\n3. **Valuation math** → `cfo-advisor` tools for the quantitative model; this playbook stays qualitative.\n\nLoop the findings back into the negotiation-points table above before the next counter.\n\n## Integration with C-Suite Roles\n\n| Role | Contribution to M&A |\n|------|-------------------|\n| CEO | Strategic rationale, negotiation lead |\n| CFO | Valuation, deal structure, financing |\n| GC | LOI\u002Fterm sheet review, contract risk scan, regulatory triggers |\n| CDO | Data diligence: training-data rights, data-asset valuation |\n| CTO | Technical due diligence, integration architecture |\n| CHRO | People due diligence, retention planning |\n| COO | Integration execution, process merge |\n| CPO | Product roadmap impact, customer overlap |\n\n## Resources\n- `references\u002Fintegration-playbook.md` — 100-day post-acquisition integration plan\n- `references\u002Fdue-diligence-checklist.md` — comprehensive DD checklist by domain\n- `..\u002Fgeneral-counsel-advisor\u002FSKILL.md` — term sheet analyzer + contract risk scanner\n- `..\u002Fchief-data-officer-advisor\u002FSKILL.md` — data diligence + data-asset valuation\n","# M&A Playbook\n\nFrameworks for both sides of M&A: acquiring companies and being acquired.\n\n## Keywords\nM&A, mergers and acquisitions, due diligence, acquisition, acqui-hire, integration, deal structure, valuation, LOI, term sheet, earnout\n\n## Quick Start\n\n**Acquiring:** Start with strategic rationale → target screening → due diligence → valuation → negotiation → integration.\n\n**Being Acquired:** Start with readiness assessment → data room prep → advisor selection → negotiation → transition.\n\n## When You're Acquiring\n\n### Strategic Rationale (answer before anything else)\n- **Buy vs Build:** Can you build this faster\u002Fcheaper? If yes, don't acquire.\n- **Acqui-hire vs Product vs Market:** What are you really buying? Talent? Technology? Customers?\n- **Integration complexity:** How hard is it to merge this into your company?\n\n### Due Diligence Checklist\n| Domain | Key Questions | Red Flags |\n|--------|--------------|-----------|\n| Financial | Revenue quality, customer concentration, burn rate | >30% revenue from 1 customer |\n| Technical | Code quality, tech debt, architecture fit | Monolith with no tests |\n| Legal | IP ownership, pending litigation, contracts | Key IP owned by individuals |\n| People | Key person risk, culture fit, retention risk | Founders have no lockup\u002Fearnout |\n| Market | Market position, competitive threats | Declining market share |\n| Customers | Churn rate, NPS, contract terms | High churn, short contracts |\n\n### Valuation Approaches\n\nThe ranges below are **illustrative, not current market data** — always verify against current market comps before using them in a model or negotiation.\n\n- **Revenue multiple:** Industry-dependent (illustrative range: 2-15x ARR for SaaS, varying with growth rate, NRR, and rate environment)\n- **Comparable transactions:** What similar companies sold for — the most defensible anchor\n- **DCF:** For profitable companies only (most startups: use multiples)\n- **Acqui-hire:** Illustrative range: $1-3M per engineer in hot talent markets\n\n**Sources to verify against (check the latest edition):** the SaaS Capital Index (private SaaS revenue multiples, updated monthly), Software Equity Group (SEG) Annual\u002FQuarterly SaaS M&A Reports (transaction multiples), and Aventis Advisors' SaaS valuation multiples reports. Cross-check at least two before anchoring a price.\n\n### Integration Frameworks\nSee `references\u002Fintegration-playbook.md` for the 100-day integration plan.\n\n## When You're Being Acquired\n\n### Readiness Signals\n- Inbound interest from strategic buyers\n- Market consolidation happening around you\n- Fundraising becomes harder than operating\n- Founder ready for a transition\n\n### Preparation (6-12 months before)\n1. Clean up financials (audited if possible)\n2. Document all IP and contracts\n3. Reduce customer concentration\n4. Lock up key employees\n5. Build the data room\n6. Engage an M&A advisor\n\n### Negotiation Points\n| Term | What to Watch | Your Leverage |\n|------|--------------|---------------|\n| Valuation | Earnout traps (unreachable targets) | Multiple competing offers |\n| Earnout | Milestone definitions, measurement period | Cash-heavy vs earnout-heavy split |\n| Lockup | Duration, conditions | Your replaceability |\n| Rep & warranties | Scope of liability | Escrow vs indemnification cap |\n| Employee retention | Who gets offers, at what terms | Key person dependencies |\n\n## Red Flags (Both Sides)\n\n- No clear strategic rationale beyond \"it's a good deal\"\n- Culture clash visible during due diligence and ignored\n- Key people not locked in before close\n- Integration plan doesn't exist or is \"we'll figure it out\"\n- Valuation based on projections, not actuals\n\n## Verification Loop (before any LOI or signature)\n\nThis skill frames the deal; two sibling skills verify it. Hand off — don't duplicate:\n\n1. **Legal terms** → `general-counsel-advisor`: run the LOI\u002Fterm sheet through `..\u002Fgeneral-counsel-advisor\u002Fscripts\u002Fterm_sheet_analyzer.py` (12-dimension 0-100 score) and the definitive docs through `..\u002Fgeneral-counsel-advisor\u002Fscripts\u002Fcontract_risk_scanner.py` (12 founder-killer patterns: earnout traps, uncapped indemnity, vague IP, etc.). Any 🔴 finding goes to outside counsel before signing.\n2. **Data diligence** → `chief-data-officer-advisor`: run `..\u002Fchief-data-officer-advisor\u002Fscripts\u002Fai_training_data_audit.py` (training-data rights, GDPR Art. 6 basis) and `..\u002Fchief-data-officer-advisor\u002Fscripts\u002Fdata_asset_valuator.py` (data-asset value, M&A multiplier with carve-out penalties) on the target's data estate. Undocumented consent provenance is a price-reduction or walk-away item.\n3. **Valuation math** → `cfo-advisor` tools for the quantitative model; this playbook stays qualitative.\n\nLoop the findings back into the negotiation-points table above before the next counter.\n\n## Integration with C-Suite Roles\n\n| Role | Contribution to M&A |\n|------|-------------------|\n| CEO | Strategic rationale, negotiation lead |\n| CFO | Valuation, deal structure, financing |\n| GC | LOI\u002Fterm sheet review, contract risk scan, regulatory triggers |\n| CDO | Data diligence: training-data rights, data-asset valuation |\n| CTO | Technical due diligence, integration architecture |\n| CHRO | People due diligence, retention planning |\n| COO | Integration execution, process merge |\n| CPO | Product roadmap impact, customer overlap |\n\n## Resources\n- `references\u002Fintegration-playbook.md` — 100-day post-acquisition integration plan\n- `references\u002Fdue-diligence-checklist.md` — comprehensive DD checklist by domain\n- `..\u002Fgeneral-counsel-advisor\u002FSKILL.md` — term sheet analyzer + contract risk scanner\n- `..\u002Fchief-data-officer-advisor\u002FSKILL.md` — data diligence + data-asset valuation\n",{"name":5,"license":14,"metadata":38,"description":7},{"author":39,"domain":40,"updated":41,"version":42,"category":43},"Alireza Rezvani","ma-strategy",1772668800000,"1.0.0","c-level","claude\u002Fai-personal-assistant-main","fb33f7f5b3a206eb019c788e3c48e91c02ccb1f9",".claude\u002Fskills\u002Fclaude-skills\u002Fma-playbook",0,"https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI","https:\u002F\u002Farshad-ai-seven.vercel.app","https:\u002F\u002Fgithub.com\u002Fmarshadgani","2026-11-02 00:51:35",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add marshadgani\u002FArshad.AI --skill ma-playbook",{"tool":58,"command":59},"bunx","bunx skills add marshadgani\u002FArshad.AI --skill ma-playbook",{"tool":61,"command":62},"pnpm","pnpm dlx skills add marshadgani\u002FArshad.AI --skill ma-playbook","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fclaude-skills\u002Fma-playbook\u002FSKILL.md",true,[66,72],{"path":67,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":70,"sourceHtmlUrl":71},"references\u002Fdue-diligence-checklist.md","REFERENCE","参考文档",4943,"https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fclaude-skills\u002Fma-playbook\u002Freferences\u002Fdue-diligence-checklist.md",{"path":73,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":74,"sourceHtmlUrl":75},"references\u002Fintegration-playbook.md",5733,"https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fclaude-skills\u002Fma-playbook\u002Freferences\u002Fintegration-playbook.md",[77,111,136,167,197,221],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":81,"licenseFileUrl":82,"sourceHtmlUrl":83,"categories":84,"keywords":93,"publishedAt":110},"01M71MVWH15PQRS9KT3J24D7WV","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fwebapp-testing\u002FSKILL.md",[85,90],{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000009","前端开发",[94,95,96,21,97,98,99,100,101,102,103,104,105,106,107,108,109],"webapp","testing","webapp testing","applications","local","frontend","debugging","toolkit","logs","browser","with","playwright","web","behavior","ui","screenshots","2026-11-10 10:56:23",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":81,"licenseFileUrl":115,"sourceHtmlUrl":116,"categories":117,"keywords":119,"publishedAt":110},"01M71MVMAZ1J606SGA4JPHRDAZ","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fweb-artifacts-builder\u002FSKILL.md",[118],{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[120,121,122,106,123,124,125,21,126,127,99,128,24,129,130,131,132,133,134,135],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":140,"sourceHtmlUrl":141,"categories":142,"keywords":151,"publishedAt":110},"01M71MSTFAEYT9J9GA587SP3RB","ui-styling","Create beautiful, accessible user interfaces with shadcn\u002Fui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fui-styling\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fui-styling\u002FSKILL.md",[143,146],{"categoryNo":144,"categoryName":145,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":147,"categoryName":148,"taxonomyType":149,"taxonomyTypeDesc":150},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[152,153,108,125,126,154,155,156,157,158,159,160,25,130,161,162,163,164,165,166],"ui styling","styling","mode","canvas","implementing","design","themes","utility","design systems","across","create","component","layout","forms","patterns",{"skillNo":168,"name":157,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":170,"categories":171,"keywords":180,"publishedAt":110},"01M71MSM72HXKQRCY5D45WYPNP","Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social\u002Fads\u002Fweb\u002Fprint), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fdesign\u002FSKILL.md",[172,175,176,179],{"categoryNo":173,"categoryName":174,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":144,"categoryName":145,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":177,"categoryName":178,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":147,"categoryName":148,"taxonomyType":149,"taxonomyTypeDesc":150},[157,181,182,183,152,184,185,186,187,162,188,189,190,191,192,193,194,195,108,196],"Media","tiktok","actions","logo","logo generation","chart","multi-platform","ads","youtube","generate","presentations","google","atlas cloud","screenshot","muapi","identity",{"skillNo":198,"name":199,"nameZh":6,"description":200,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":201,"categories":202,"keywords":205,"publishedAt":110},"01M71MSH9T7S227MN2YSYB2EP5","design-system","Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing\u002Ftypography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fdesign-system\u002FSKILL.md",[203,204],{"categoryNo":144,"categoryName":145,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":147,"categoryName":148,"taxonomyType":149,"taxonomyTypeDesc":150},[157,206,207,125,208,209,210,211,163,191,212,213,214,215,216,217,218,21,219,220],"design system","system","css variables","creation","Variables","architecture","systematic","token","spacing","layer","typography","brand","three","tokens","slide generation",{"skillNo":222,"name":223,"nameZh":6,"description":224,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":225,"categories":226,"keywords":229,"publishedAt":110},"01M71MSCFZ1HFMNBDMAFXDZV92","banner-design","Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with optional generated or supplied visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter\u002FX, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fbanner-design\u002FSKILL.md",[227,228],{"categoryNo":144,"categoryName":145,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":147,"categoryName":148,"taxonomyType":149,"taxonomyTypeDesc":150},[157,230,231,181,232,233,234,183,235,236,237,238,239,240,162,188,189,190,241,242],"banner","banner design","3D","direction","neon","Art","social","generated","hero","dimensions","display","options","website"]