[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6QJ6F5FPJVRSEY9BTR3KT6F":3,"skill-same:01M6QJ6F5FPJVRSEY9BTR3KT6F":66},{"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":18,"publishedAt":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":14,"repositoryHtmlUrl":46,"repositoryHomepageUrl":47,"ownerHtmlUrl":48,"ownerBlogUrl":49,"ownerDescription":50,"updatedAt":51,"install":52,"resources":65},"01M6QJ6F5FPJVRSEY9BTR3KT6F","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.","Tashima-Tarsh\u002FDisha6.6","Tashima-Tarsh","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F269906498?v=4","01M6PBH98X03XERH0HFT4PFB1P","NITISH KUMAR","01M6PBH9DA0M6KM3Z12P848F0K",0,"MIT","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fma-playbook\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31],"playbook","ma playbook","valuation","planning","negotiation","integration","acquisition","strategy","use","structure","deal","deal structure","for","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":15,"metadata":37,"description":7},{"author":38,"domain":39,"updated":40,"version":41,"category":42},"Alireza Rezvani","ma-strategy",1772668800000,"1.0.0","c-level","main","0da4485785ee599388900be50db1635489d53056",".agents\u002Fskills\u002Fma-playbook","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6","https:\u002F\u002Fdisha6.6.thenitishkr.in\u002F","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh","www.thenitishkr","thenitishkr | AI • Cyber-security • Research\r\n","2026-11-08 03:33:25",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add Tashima-Tarsh\u002FDisha6.6 --skill ma-playbook",{"tool":58,"command":59},"bunx","bunx skills add Tashima-Tarsh\u002FDisha6.6 --skill ma-playbook",{"tool":61,"command":62},"pnpm","pnpm dlx skills add Tashima-Tarsh\u002FDisha6.6 --skill ma-playbook","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fma-playbook\u002FSKILL.md",true,[],[67,98,121,147,172,196],{"skillNo":68,"name":69,"nameZh":6,"description":70,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":71,"categories":72,"keywords":78,"publishedAt":32},"01M6QRD07D4TGNDK6VJ4EHF8BV","youtube-full","Use when the user needs YouTube transcripts, video search, channel browsing, playlist extraction, or content monitoring. Trigger phrases: 'get the transcript for', 'search YouTube for', 'what are the latest videos on', 'list this playlist', 'monitor this channel', or any request involving a YouTube URL, video ID, or @handle. Do NOT use for downloading video or audio files, YouTube engagement data (likes, comments), or private\u002Fage-restricted videos.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fyoutube-full\u002FSKILL.md",[73],{"categoryNo":74,"categoryName":75,"taxonomyType":76,"taxonomyTypeDesc":77},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,31,95,96,97],"youtube full","youtube","full","transcript","search","monitoring","data","Video","Audio","list","files","do","get","age","trigger","URL","browsing","request","youtube transcripts",{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":32},"01M6QRCJ3112VYPA97YG7KGMC2","x-twitter-growth","X\u002FTwitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X\u002FTwitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fx-twitter-growth\u002FSKILL.md",[],[105,106,107,108,83,109,110,111,112,113,114,115,116,26,27,117,118,119,120,31],"twitter","x twitter growth","growth","research","content","engineering","plan","web search","competitors","analyze","engine","write","platform","grow","posting","competitive",{"skillNo":122,"name":123,"nameZh":6,"description":124,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":125,"categories":126,"keywords":130,"publishedAt":32},"01M6QRBN3EHQNJY42RERP7A149","write-a-skill","Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, build, or author a new skill.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwrite-a-skill\u002FSKILL.md",[127],{"categoryNo":128,"categoryName":129,"taxonomyType":76,"taxonomyTypeDesc":77},"01JBSEEDCAT000000000000023","Skill与智能体开发",[131,116,132,133,134,135,136,137,27,138,139,43,140,28,141,142,143,144,145,146],"write a skill","github","create","https","productivity","matt pocock","direct","example","build","new skill","new agent","resources","with","tree","progressive disclosure","author",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":32},"01M6QRB6G8P33PNGAF9Y69EJ9T","wrap-up","Close out a launched Claude Managed Agent — recap every primitive the founder now owns, regenerate the single-file overview page, and suggest the next 1-2 upgrades. Use when the user says \"wrap up\", \"close this out\", \"what do I own now\", \"give me the summary\", \"recap the agent\", or when the orchestrator routes phase=wrap-up. primitives_inventory.py tables everything owned (agent, environment, session, memory, outcome, deployment); overview_page.py regenerates a self-contained .\u002Fmy-agent\u002Fagent-overview.html; upgrade_suggester.py ranks the next moves from recorded deferrals plus standing hardening steps. Companion to run-without-you; the last stop before phase=done.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwrap-up\u002FSKILL.md",[],[154,155,156,157,158,159,160,161,162,27,163,90,164,165,166,167,168,169,170,171],"wrap up","up","wrap","gemini","deployment","run","file","hardening","closeout","stop","upgrade","founder","close","companion","you","tables","directions","phase",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":179,"publishedAt":32},"01M6QRA5AYC1RBFZ39GTWGS3N8","workflow-builder","Design and write deterministic multi-agent workflow scripts (.js files in .claude\u002Fworkflows\u002F) for Claude Code's Workflow tool. Use when a user wants to build, create, author, scaffold, or run a custom Claude Code workflow, orchestrate sub-agents (fan-out, pipeline, loop, judge-panel), or automate a repeatable multi-step task across fresh-context agents.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fworkflow-builder\u002FSKILL.md",[178],{"categoryNo":128,"categoryName":129,"taxonomyType":76,"taxonomyTypeDesc":77},[180,181,182,183,184,133,159,185,186,187,188,189,116,190,89,191,192,193,194,195],"workflow","workflow builder","builder","design","workflows","code","orchestrate","pipeline","loop","multi-agent","context","across","fresh","scripts","judge","claude code workflow",{"skillNo":197,"name":198,"nameZh":6,"description":199,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":200,"categories":201,"keywords":202,"publishedAt":32},"01M6QR7QMCZESKQA0ERW1E657M","weekly-review","Use when someone wants to run a weekly review, close open loops, audit stalled projects and commitments, get their system back to trusted, restart a lapsed review habit, or says \"\u002Fcs:weekly-review\". Walks David Allen's three-phase loop — GET CLEAR, GET CURRENT, GET CREATIVE — with deterministic scripts that inventory open loops, gate the checklist with named gaps, and score commitment health 0-100.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fweekly-review\u002FSKILL.md",[],[203,204,205,206,207,208,209,210,211,188,212,213,214,215,216,217,91,218,219,171],"review","weekly review","weekly","deterministic scripts","reflect","feeds","inventory","open","team","projects","project-management","scanner","conversation","back","project","sprint","cadence"]