[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ED4QN293P0TM8F2VS64CFJ":3,"skill-same:01M6ED4QN293P0TM8F2VS64CFJ":82},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6ED4QN293P0TM8F2VS64CFJ","cs-onboard",null,"Founder onboarding interview that captures company context across 7 dimensions. Invoke with \u002Fcs:setup for initial interview or \u002Fcs:update for quarterly refresh. Generates ~\u002F.claude\u002Fcompany-context.md used by all C-suite advisor skills.","levalencia\u002Fagent-god-mode","levalencia","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6962857?v=4","01M6EB0FZZ4BPQPC4HET4QY6NM","Luis Valencia ","01M6EB0G4HWHPWW0H9X7QKSAHP",3,"MIT","https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fc-level-advisor\u002Fcs-onboard\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37],"onboard","cs onboard","orchestration","setup","update","onboarding","capture","context","refresh","interview","advisor","dimensions","across","founder","2026-11-10 10:12:30",false,"---\nname: \"cs-onboard\"\ndescription: \"Founder onboarding interview that captures company context across 7 dimensions. Invoke with \u002Fcs:setup for initial interview or \u002Fcs:update for quarterly refresh. Generates ~\u002F.claude\u002Fcompany-context.md used by all C-suite advisor skills.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: c-level\n  domain: orchestration\n  updated: 2026-03-05\n  frameworks: founder-interview, context-capture, quarterly-refresh\n---\n\n# C-Suite Onboarding\n\nStructured founder interview that builds the company context file powering every C-suite advisor. One 45-minute conversation. Persistent context across all roles.\n\n## Commands\n\n- `\u002Fcs:setup` — Full onboarding interview (~45 min, 7 dimensions)\n- `\u002Fcs:update` — Quarterly refresh (~15 min, \"what changed?\")\n\n## Keywords\ncs:setup, cs:update, company context, founder interview, onboarding, company profile, c-suite setup, advisor setup\n\n---\n\n## Conversation Principles\n\nBe a conversation, not an interrogation. Ask one question at a time. Follow threads. Reflect back: \"So the real issue sounds like X — is that right?\" Watch for what they skip — that's where the real story lives. Never read a list of questions.\n\nOpen with: *\"Tell me about the company in your own words — what are you building and why does it matter?\"*\n\n---\n\n## 7 Interview Dimensions\n\n### 1. Company Identity\nCapture: what they do, who it's for, the real founding \"why,\" one-sentence pitch, non-negotiable values.\nKey probe: *\"What's a value you'd fire someone over violating?\"*\nRed flag: Values that sound like marketing copy.\n\n### 2. Stage & Scale\nCapture: headcount (FT vs contractors), revenue range, runway, stage (pre-PMF \u002F scaling \u002F optimizing), what broke in last 90 days.\nKey probe: *\"If you had to label your stage — still finding PMF, scaling what works, or optimizing?\"*\n\n### 3. Founder Profile\nCapture: self-identified superpower, acknowledged blind spots, archetype (product\u002Fsales\u002Ftechnical\u002Foperator), what actually keeps them up at night.\nKey probe: *\"What would your co-founder say you should stop doing?\"*\nRed flag: No blind spots, or weakness framed as a strength.\n\n### 4. Team & Culture\nCapture: team in 3 words, last real conflict and resolution, which values are real vs aspirational, strongest and weakest leader.\nKey probe: *\"Which of your stated values is most real? Which is a poster on the wall?\"*\nRed flag: \"We have no conflict.\"\n\n### 5. Market & Competition\nCapture: who's winning and why (honest version), real unfair advantage, the one competitive move that could hurt them.\nKey probe: *\"What's your real unfair advantage — not the investor version?\"*\nRed flag: \"We have no real competition.\"\n\n### 6. Current Challenges\nCapture: priority stack-rank across product\u002Fgrowth\u002Fpeople\u002Fmoney\u002Foperations, the decision they've been avoiding, the \"one extra day\" answer.\nKey probe: *\"What's the decision you've been putting off for weeks?\"*\nNote: The \"extra day\" answer reveals true priorities.\n\n### 7. Goals & Ambition\nCapture: 12-month target (specific), 36-month target (directional), exit vs build-forever orientation, personal success definition.\nKey probe: *\"What does success look like for you personally — separate from the company?\"*\n\n---\n\n## Output: company-context.md\n\nAfter the interview, generate `~\u002F.claude\u002Fcompany-context.md` using `templates\u002Fcompany-context-template.md`.\n\nFill every section. Write `[not captured]` for unknowns — never leave blank. Add timestamp, mark as `fresh`.\n\nTell the founder: *\"I've captured everything in your company context. Every advisor will use this to give specific, relevant advice. Run \u002Fcs:update in 90 days to keep it current.\"*\n\n---\n\n## \u002Fcs:update — Quarterly Refresh\n\n**Trigger:** Every 90 days or after a major change. Duration: ~15 minutes.\n\nOpen with: *\"It's been [X time] since we did your company context. What's changed?\"*\n\nWalk each dimension with one \"what changed?\" question:\n1. Identity: same mission or shifted?\n2. Scale: team, revenue, runway now?\n3. Founder: role or what's stretching you?\n4. Team: any leadership changes?\n5. Market: any competitive surprises?\n6. Challenges: #1 problem now vs 90 days ago?\n7. Goals: still on track for 12-month target?\n\nUpdate the context file, refresh timestamp, reset to `fresh`.\n\n---\n\n## Context File Location\n\n`~\u002F.claude\u002Fcompany-context.md` — single source of truth for all C-suite skills. Do not move it. Do not create duplicates.\n\n## References\n- `templates\u002Fcompany-context-template.md` — blank template for output\n- `references\u002Finterview-guide.md` — deep interview craft: probes, red flags, handling reluctant founders\n","# C-Suite Onboarding\n\nStructured founder interview that builds the company context file powering every C-suite advisor. One 45-minute conversation. Persistent context across all roles.\n\n## Commands\n\n- `\u002Fcs:setup` — Full onboarding interview (~45 min, 7 dimensions)\n- `\u002Fcs:update` — Quarterly refresh (~15 min, \"what changed?\")\n\n## Keywords\ncs:setup, cs:update, company context, founder interview, onboarding, company profile, c-suite setup, advisor setup\n\n---\n\n## Conversation Principles\n\nBe a conversation, not an interrogation. Ask one question at a time. Follow threads. Reflect back: \"So the real issue sounds like X — is that right?\" Watch for what they skip — that's where the real story lives. Never read a list of questions.\n\nOpen with: *\"Tell me about the company in your own words — what are you building and why does it matter?\"*\n\n---\n\n## 7 Interview Dimensions\n\n### 1. Company Identity\nCapture: what they do, who it's for, the real founding \"why,\" one-sentence pitch, non-negotiable values.\nKey probe: *\"What's a value you'd fire someone over violating?\"*\nRed flag: Values that sound like marketing copy.\n\n### 2. Stage & Scale\nCapture: headcount (FT vs contractors), revenue range, runway, stage (pre-PMF \u002F scaling \u002F optimizing), what broke in last 90 days.\nKey probe: *\"If you had to label your stage — still finding PMF, scaling what works, or optimizing?\"*\n\n### 3. Founder Profile\nCapture: self-identified superpower, acknowledged blind spots, archetype (product\u002Fsales\u002Ftechnical\u002Foperator), what actually keeps them up at night.\nKey probe: *\"What would your co-founder say you should stop doing?\"*\nRed flag: No blind spots, or weakness framed as a strength.\n\n### 4. Team & Culture\nCapture: team in 3 words, last real conflict and resolution, which values are real vs aspirational, strongest and weakest leader.\nKey probe: *\"Which of your stated values is most real? Which is a poster on the wall?\"*\nRed flag: \"We have no conflict.\"\n\n### 5. Market & Competition\nCapture: who's winning and why (honest version), real unfair advantage, the one competitive move that could hurt them.\nKey probe: *\"What's your real unfair advantage — not the investor version?\"*\nRed flag: \"We have no real competition.\"\n\n### 6. Current Challenges\nCapture: priority stack-rank across product\u002Fgrowth\u002Fpeople\u002Fmoney\u002Foperations, the decision they've been avoiding, the \"one extra day\" answer.\nKey probe: *\"What's the decision you've been putting off for weeks?\"*\nNote: The \"extra day\" answer reveals true priorities.\n\n### 7. Goals & Ambition\nCapture: 12-month target (specific), 36-month target (directional), exit vs build-forever orientation, personal success definition.\nKey probe: *\"What does success look like for you personally — separate from the company?\"*\n\n---\n\n## Output: company-context.md\n\nAfter the interview, generate `~\u002F.claude\u002Fcompany-context.md` using `templates\u002Fcompany-context-template.md`.\n\nFill every section. Write `[not captured]` for unknowns — never leave blank. Add timestamp, mark as `fresh`.\n\nTell the founder: *\"I've captured everything in your company context. Every advisor will use this to give specific, relevant advice. Run \u002Fcs:update in 90 days to keep it current.\"*\n\n---\n\n## \u002Fcs:update — Quarterly Refresh\n\n**Trigger:** Every 90 days or after a major change. Duration: ~15 minutes.\n\nOpen with: *\"It's been [X time] since we did your company context. What's changed?\"*\n\nWalk each dimension with one \"what changed?\" question:\n1. Identity: same mission or shifted?\n2. Scale: team, revenue, runway now?\n3. Founder: role or what's stretching you?\n4. Team: any leadership changes?\n5. Market: any competitive surprises?\n6. Challenges: #1 problem now vs 90 days ago?\n7. Goals: still on track for 12-month target?\n\nUpdate the context file, refresh timestamp, reset to `fresh`.\n\n---\n\n## Context File Location\n\n`~\u002F.claude\u002Fcompany-context.md` — single source of truth for all C-suite skills. Do not move it. Do not create duplicates.\n\n## References\n- `templates\u002Fcompany-context-template.md` — blank template for output\n- `references\u002Finterview-guide.md` — deep interview craft: probes, red flags, handling reluctant founders\n",{"name":5,"license":15,"metadata":43,"description":7},{"author":44,"domain":26,"updated":45,"version":46,"category":47,"frameworks":48},"Alireza Rezvani",1772668800000,"1.0.0","c-level","founder-interview, context-capture, quarterly-refresh","main","fa638b97a18ff6d9f26cf0eaf3dfa123531bcc87","organized-skills\u002Fc-level-advisor\u002Fcs-onboard",1,"https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode","https:\u002F\u002Fgithub.com\u002Flevalencia","https:\u002F\u002Fmedium.com\u002F@luisevalencia","Microsoft MVP - Artificial Intelligence\r\nMachine Learning Enthusiast\r\n","2026-05-02 06:55:36",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add levalencia\u002Fagent-god-mode --skill cs-onboard",{"tool":64,"command":65},"bunx","bunx skills add levalencia\u002Fagent-god-mode --skill cs-onboard",{"tool":67,"command":68},"pnpm","pnpm dlx skills add levalencia\u002Fagent-god-mode --skill cs-onboard","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fc-level-advisor\u002Fcs-onboard\u002FSKILL.md",true,[72,78],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Finterview-guide.md","REFERENCE","参考文档",7739,"https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fc-level-advisor\u002Fcs-onboard\u002Freferences\u002Finterview-guide.md",{"path":79,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":80,"sourceHtmlUrl":81},"templates\u002Fcompany-context-template.md",3100,"https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fc-level-advisor\u002Fcs-onboard\u002Ftemplates\u002Fcompany-context-template.md",[83,105,141,168,194,222],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":38},"01M6EM8ES5M9J4S8N78NJST0YC","zarr-python","Chunked N-D arrays for cloud storage. Compressed arrays, parallel I\u002FO, S3\u002FGCS integration, NumPy\u002FDask\u002FXarray compatible, for large-scale scientific computing pipelines.","https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fzarr-python\u002FSKILL.md",[],[90,91,92,93,94,95,96,97,98,99,100,101,102,103,104],"python","zarr python","storage","integration","s3","gcs","cloud","dask","parallel","pipelines","arrays","numpy","scientific computing","scale","scientific",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":122,"publishedAt":38},"01M6EM8AR6ZFKZ9YVW8TTG850Z","zabbix","Zabbix monitoring system automation via API and Python. Use when: (1) Managing hosts, templates, items, triggers, or host groups, (2) Automating monitoring configuration, (3) Sending data via Zabbix trapper\u002Fsender, (4) Querying historical data or events, (5) Bulk operations on Zabbix objects, (6) Maintenance window management, (7) User\u002Fpermission management","https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fzabbix-api-skill\u002FSKILL.md",[111,116,119],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":117,"categoryName":118,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":120,"categoryName":121,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师",[107,90,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140],"automation","window management","monitoring","data","templates","api","system","operations","use","maintenance","objects","permission","bulk operations","triggers","host","events","via","bulk",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":147,"publishedAt":38},"01M6EM6Q9JG846ECQY9A210A26","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\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fx-twitter-growth\u002FSKILL.md",[],[148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167],"twitter","x twitter growth","growth","competitive intelligence","search","analyzing","plan","marketing","web search","competitors","analyze","write","optimize","social","intelligence","viral","growth engine","mechanics","grow","competitive",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":174,"publishedAt":38},"01M6EM3FQNPYNKPC4CV9TCVNGD","what-if-oracle","Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like \"what if...\", \"what would happen if...\", \"what are the possibilities\", \"explore scenarios\", \"scenario analysis\", \"possibility space\", \"what could go wrong\", \"best case \u002F worst case\", \"risk analysis\", \"contingency planning\", \"strategic options\", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.","https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fwhat-if-oracle\u002FSKILL.md",[],[175,176,177,178,179,180,181,182,183,184,185,186,131,187,188,189,190,191,192,193],"oracle","what if oracle","test","planning","ux","futures","risk","analysis","explore","decision","branch","question","exploration","options","stress-test","strategies","trigger","case","multi",{"skillNo":195,"name":196,"nameZh":6,"description":197,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":198,"categories":199,"keywords":203,"publishedAt":38},"01M6EM08C06RGDYCJ86HAPK0FF","vercel-react-best-practices","React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React\u002FNext.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.","https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fvercel-react-best-practices\u002FSKILL.md",[200],{"categoryNo":201,"categoryName":202,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000009","前端开发",[204,205,206,207,208,209,210,211,212,213,214,215,216,126,217,218,219,220,221,136],"react","vercel react best practices","best practices","react best practices","vercel","writing","performance","components","react components","guidelines","tasks","code","Optimization","Next.js","refactoring","performance optimization","next","pages",{"skillNo":223,"name":224,"nameZh":6,"description":225,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":226,"categories":227,"keywords":238,"publishedAt":38},"01M6EM00S13326QM08DTM94J6Z","venue-templates","Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.","https:\u002F\u002Fgithub.com\u002Flevalencia\u002Fagent-god-mode\u002Fblob\u002Fmain\u002Forganized-skills\u002Fvenue-templates\u002FSKILL.md",[228,231,234,235],{"categoryNo":229,"categoryName":230,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":232,"categoryName":233,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":117,"categoryName":118,"taxonomyType":114,"taxonomyTypeDesc":115},{"categoryNo":236,"categoryName":237,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000036","内容创作者",[127,239,240,213,241,242,243,244,245,246,247,159,248,249,250,251,252,253,104,254],"venue templates","research","NeurIPS","ICML","LaTeX","science","Bash","access","read","edit","proposals","Academic","requirements","formatting","journal","chi"]