[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C17MDGT41BAKPMYTTV3NZF":3,"skill-same:01M6C17MDGT41BAKPMYTTV3NZF":106},{"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":36,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":62,"commitSha":63,"skillDirectory":64,"forksCount":13,"repositoryHtmlUrl":65,"repositoryHomepageUrl":6,"ownerHtmlUrl":66,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":67,"install":68,"resources":81},"01M6C17MDGT41BAKPMYTTV3NZF","cmo-advisor",null,"Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI.","mne20114-hash\u002Fgest35bi","mne20114-hash","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F224168109?v=4","01M6C0JCR7334CZ39YWTZXX2NG","01M6C0JCWN0NBWMQTW1CPG2Z4G",0,"MIT","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fcmo-advisor\u002FSKILL.md",[17,22,25,30,33],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":26,"categoryName":27,"taxonomyType":28,"taxonomyTypeDesc":29},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",{"categoryNo":31,"categoryName":32,"taxonomyType":28,"taxonomyTypeDesc":29},"01JBSEEDCAT000000000000035","市场营销",{"categoryNo":34,"categoryName":35,"taxonomyType":28,"taxonomyTypeDesc":29},"01JBSEEDCAT000000000000040","财务",[37,38,39,40,41,42,43,44,45,46,47,48],"cmo advisor","design","roi","teams","Budget","marketing","model","brand","strategy","user","sales","growth","2026-11-10 10:12:30",false,"---\nname: \"cmo-advisor\"\ndescription: \"Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: c-level\n  domain: cmo-leadership\n  updated: 2026-03-05\n  python-tools: marketing_budget_modeler.py, growth_model_simulator.py\n  frameworks: brand-positioning, growth-frameworks, marketing-org\n---\n\n# CMO Advisor\n\nStrategic marketing leadership — brand positioning, growth model design, budget allocation, and org design. Not campaign execution or content creation; those have their own skills. This is the engine.\n\n## Keywords\nCMO, chief marketing officer, brand strategy, brand positioning, growth model, product-led growth, PLG, sales-led growth, community-led growth, marketing budget, CAC, customer acquisition cost, LTV, lifetime value, channel mix, marketing ROI, pipeline contribution, marketing org, category design, competitive positioning, growth loops, payback period, MQL, pipeline coverage\n\n## Quick Start\n\n```bash\n# Model budget allocation across channels, project MQL output by scenario\npython scripts\u002Fmarketing_budget_modeler.py\n\n# Project MRR growth by model, show impact of channel mix shifts\npython scripts\u002Fgrowth_model_simulator.py\n```\n\n**Reference docs (load when needed):**\n- `references\u002Fbrand_positioning.md` — category design, messaging architecture, battlecards, rebrand framework\n- `references\u002Fgrowth_frameworks.md` — PLG\u002FSLG\u002FCLG playbooks, growth loops, switching models\n- `references\u002Fmarketing_org.md` — team structure by stage, hiring sequence, agency vs. in-house\n\n---\n\n## The Four CMO Questions\n\nEvery CMO must own answers to these — no one else in the C-suite can:\n\n1. **Who are we for?** — ICP, positioning, category\n2. **Why do they choose us?** — Differentiation, messaging, brand\n3. **How do they find us?** — Growth model, channel mix, demand gen\n4. **Is it working?** — CAC, LTV:CAC, pipeline contribution, payback period\n\n---\n\n## Core Responsibilities (Brief)\n\n**Brand & Positioning** — Define category, build messaging architecture, maintain competitive differentiation. Details → `references\u002Fbrand_positioning.md`\n\n**Growth Model** — Choose and operate the right acquisition engine: PLG, sales-led, community-led, or hybrid. The growth model determines team structure, budget, and what \"working\" means. Details → `references\u002Fgrowth_frameworks.md`\n\n**Marketing Budget** — Allocate from revenue target backward: new customers needed → conversion rates by stage → MQLs needed → spend by channel based on CAC. Run `marketing_budget_modeler.py` for scenarios.\n\n**Marketing Org** — Structure follows growth model. Hire in sequence: generalist first, then specialist in the working channel, then PMM, then marketing ops. Details → `references\u002Fmarketing_org.md`\n\n**Channel Mix** — Audit quarterly: MQLs, cost, CAC, payback, trend. Scale what's improving. Cut what's worsening. Don't optimize a channel that isn't in the strategy.\n\n**Board Reporting** — Pipeline contribution, CAC by channel, payback period, LTV:CAC. Not impressions. Not MQLs in isolation.\n\n---\n\n## Key Diagnostic Questions\n\nAsk these before making any strategic recommendation:\n\n- What's your CAC **by channel** (not blended)?\n- What's the payback period on your largest channel?\n- What's your LTV:CAC ratio?\n- What % of pipeline is marketing-sourced vs. sales-sourced?\n- Where do your **best customers** (highest LTV, lowest churn) come from?\n- What's your MQL → Opportunity conversion rate? (proxy for lead quality)\n- Is this brand work or performance marketing? (different timelines, different metrics)\n- What's the activation rate in the product? (PLG signal)\n- If a prospect doesn't buy, why not? (win\u002Floss data)\n\n---\n\n## CMO Metrics Dashboard\n\n| Category | Metric | Healthy Target |\n|----------|--------|---------------|\n| **Pipeline** | Marketing-sourced pipeline % | 50–70% of total |\n| **Pipeline** | Pipeline coverage ratio | 3–4x quarterly quota |\n| **Pipeline** | MQL → Opportunity rate | > 15% |\n| **Efficiency** | Blended CAC payback | \u003C 18 months |\n| **Efficiency** | LTV:CAC ratio | > 3:1 |\n| **Efficiency** | Marketing % of total S&M spend | 30–50% |\n| **Growth** | Brand search volume trend | ↑ QoQ |\n| **Growth** | Win rate vs. primary competitor | > 50% |\n| **Retention** | NPS (marketing-sourced cohort) | > 40 |\n\n---\n\n## Red Flags\n\n- No defined ICP — \"companies with 50-1000 employees\" is not an ICP\n- Marketing and sales disagree on what an MQL is (this is always a system problem, not a people problem)\n- CAC tracked only as a blended number — channel-level CAC is non-negotiable\n- Pipeline attribution is self-reported by sales reps, not CRM-timestamped\n- CMO can't answer \"what's our payback period?\" without a 48-hour research project\n- Brand work and performance marketing have no shared narrative — they're contradicting each other\n- Marketing team is producing content with no documented positioning to anchor it\n- Growth model was chosen because a competitor uses it, not because the product\u002FACV\u002FICP fits\n\n---\n\n## Integration with Other C-Suite Roles\n\n| When... | CMO works with... | To... |\n|---------|-------------------|-------|\n| Pricing changes | CFO + CEO | Understand margin impact on positioning and messaging |\n| Product launch | CPO + CTO | Define launch tier, GTM motion, messaging |\n| Pipeline miss | CFO + CRO | Diagnose: volume problem, quality problem, or velocity problem |\n| Category design | CEO | Secure multi-year organizational commitment to the narrative |\n| New market entry | CEO + CFO | Validate ICP, budget, localization requirements |\n| Sales misalignment | CRO | Align on MQL definition, SLA, and pipeline ownership |\n| Hiring plan | CHRO | Define marketing headcount and skill profile by stage |\n| Retention insights | CCO | Use expansion and churn data to sharpen ICP and messaging |\n| Competitive threat | CEO + CRO | Coordinate battlecards, win\u002Floss, repositioning response |\n\n---\n\n## Resources\n\n- **References:** `references\u002Fbrand_positioning.md`, `references\u002Fgrowth_frameworks.md`, `references\u002Fmarketing_org.md`\n- **Scripts:** `scripts\u002Fmarketing_budget_modeler.py`, `scripts\u002Fgrowth_model_simulator.py`\n\n\n## Proactive Triggers\n\nSurface these without being asked when you detect them in company context:\n- CAC rising quarter over quarter → channel efficiency declining, investigate\n- No brand positioning documented → messaging inconsistent across channels\n- Marketing budget allocation hasn't changed in 6+ months → market changed, budget didn't\n- Competitor launched major campaign → flag for competitive response\n- Pipeline contribution from marketing unclear → measurement gap, fix before spending more\n\n## Output Artifacts\n\n| Request | You Produce |\n|---------|-------------|\n| \"Plan our marketing budget\" | Channel allocation model with CAC targets per channel |\n| \"Position us vs competitors\" | Positioning map + messaging framework + proof points |\n| \"Design our growth model\" | Growth projection with channel mix scenarios |\n| \"Build the marketing team\" | Hiring plan with sequence, roles, agency vs in-house |\n| \"Marketing board section\" | Pipeline contribution report with channel ROI |\n\n## Reasoning Technique: Recursion of Thought\n\nDraft a marketing strategy, then critique it from the customer's perspective. Refine based on the critique. Repeat until the strategy survives scrutiny.\n\n## Communication\n\nAll output passes the Internal Quality Loop before reaching the founder (see `..\u002Fagent-protocol\u002FSKILL.md`).\n- Self-verify: source attribution, assumption audit, confidence scoring\n- Peer-verify: cross-functional claims validated by the owning role\n- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor\n- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision\n- Results only. Every finding tagged: ? verified, ? medium, ? assumed.\n\n## Context Integration\n\n- **Always** read `company-context.md` before responding (if it exists)\n- **During board meetings:** Use only your own analysis in Phase 2 (no cross-pollination)\n- **Invocation:** You can request input from other roles: `[INVOKE:role|question]`\n","# CMO Advisor\n\nStrategic marketing leadership — brand positioning, growth model design, budget allocation, and org design. Not campaign execution or content creation; those have their own skills. This is the engine.\n\n## Keywords\nCMO, chief marketing officer, brand strategy, brand positioning, growth model, product-led growth, PLG, sales-led growth, community-led growth, marketing budget, CAC, customer acquisition cost, LTV, lifetime value, channel mix, marketing ROI, pipeline contribution, marketing org, category design, competitive positioning, growth loops, payback period, MQL, pipeline coverage\n\n## Quick Start\n\n```bash\n# Model budget allocation across channels, project MQL output by scenario\npython scripts\u002Fmarketing_budget_modeler.py\n\n# Project MRR growth by model, show impact of channel mix shifts\npython scripts\u002Fgrowth_model_simulator.py\n```\n\n**Reference docs (load when needed):**\n- `references\u002Fbrand_positioning.md` — category design, messaging architecture, battlecards, rebrand framework\n- `references\u002Fgrowth_frameworks.md` — PLG\u002FSLG\u002FCLG playbooks, growth loops, switching models\n- `references\u002Fmarketing_org.md` — team structure by stage, hiring sequence, agency vs. in-house\n\n---\n\n## The Four CMO Questions\n\nEvery CMO must own answers to these — no one else in the C-suite can:\n\n1. **Who are we for?** — ICP, positioning, category\n2. **Why do they choose us?** — Differentiation, messaging, brand\n3. **How do they find us?** — Growth model, channel mix, demand gen\n4. **Is it working?** — CAC, LTV:CAC, pipeline contribution, payback period\n\n---\n\n## Core Responsibilities (Brief)\n\n**Brand & Positioning** — Define category, build messaging architecture, maintain competitive differentiation. Details → `references\u002Fbrand_positioning.md`\n\n**Growth Model** — Choose and operate the right acquisition engine: PLG, sales-led, community-led, or hybrid. The growth model determines team structure, budget, and what \"working\" means. Details → `references\u002Fgrowth_frameworks.md`\n\n**Marketing Budget** — Allocate from revenue target backward: new customers needed → conversion rates by stage → MQLs needed → spend by channel based on CAC. Run `marketing_budget_modeler.py` for scenarios.\n\n**Marketing Org** — Structure follows growth model. Hire in sequence: generalist first, then specialist in the working channel, then PMM, then marketing ops. Details → `references\u002Fmarketing_org.md`\n\n**Channel Mix** — Audit quarterly: MQLs, cost, CAC, payback, trend. Scale what's improving. Cut what's worsening. Don't optimize a channel that isn't in the strategy.\n\n**Board Reporting** — Pipeline contribution, CAC by channel, payback period, LTV:CAC. Not impressions. Not MQLs in isolation.\n\n---\n\n## Key Diagnostic Questions\n\nAsk these before making any strategic recommendation:\n\n- What's your CAC **by channel** (not blended)?\n- What's the payback period on your largest channel?\n- What's your LTV:CAC ratio?\n- What % of pipeline is marketing-sourced vs. sales-sourced?\n- Where do your **best customers** (highest LTV, lowest churn) come from?\n- What's your MQL → Opportunity conversion rate? (proxy for lead quality)\n- Is this brand work or performance marketing? (different timelines, different metrics)\n- What's the activation rate in the product? (PLG signal)\n- If a prospect doesn't buy, why not? (win\u002Floss data)\n\n---\n\n## CMO Metrics Dashboard\n\n| Category | Metric | Healthy Target |\n|----------|--------|---------------|\n| **Pipeline** | Marketing-sourced pipeline % | 50–70% of total |\n| **Pipeline** | Pipeline coverage ratio | 3–4x quarterly quota |\n| **Pipeline** | MQL → Opportunity rate | > 15% |\n| **Efficiency** | Blended CAC payback | \u003C 18 months |\n| **Efficiency** | LTV:CAC ratio | > 3:1 |\n| **Efficiency** | Marketing % of total S&M spend | 30–50% |\n| **Growth** | Brand search volume trend | ↑ QoQ |\n| **Growth** | Win rate vs. primary competitor | > 50% |\n| **Retention** | NPS (marketing-sourced cohort) | > 40 |\n\n---\n\n## Red Flags\n\n- No defined ICP — \"companies with 50-1000 employees\" is not an ICP\n- Marketing and sales disagree on what an MQL is (this is always a system problem, not a people problem)\n- CAC tracked only as a blended number — channel-level CAC is non-negotiable\n- Pipeline attribution is self-reported by sales reps, not CRM-timestamped\n- CMO can't answer \"what's our payback period?\" without a 48-hour research project\n- Brand work and performance marketing have no shared narrative — they're contradicting each other\n- Marketing team is producing content with no documented positioning to anchor it\n- Growth model was chosen because a competitor uses it, not because the product\u002FACV\u002FICP fits\n\n---\n\n## Integration with Other C-Suite Roles\n\n| When... | CMO works with... | To... |\n|---------|-------------------|-------|\n| Pricing changes | CFO + CEO | Understand margin impact on positioning and messaging |\n| Product launch | CPO + CTO | Define launch tier, GTM motion, messaging |\n| Pipeline miss | CFO + CRO | Diagnose: volume problem, quality problem, or velocity problem |\n| Category design | CEO | Secure multi-year organizational commitment to the narrative |\n| New market entry | CEO + CFO | Validate ICP, budget, localization requirements |\n| Sales misalignment | CRO | Align on MQL definition, SLA, and pipeline ownership |\n| Hiring plan | CHRO | Define marketing headcount and skill profile by stage |\n| Retention insights | CCO | Use expansion and churn data to sharpen ICP and messaging |\n| Competitive threat | CEO + CRO | Coordinate battlecards, win\u002Floss, repositioning response |\n\n---\n\n## Resources\n\n- **References:** `references\u002Fbrand_positioning.md`, `references\u002Fgrowth_frameworks.md`, `references\u002Fmarketing_org.md`\n- **Scripts:** `scripts\u002Fmarketing_budget_modeler.py`, `scripts\u002Fgrowth_model_simulator.py`\n\n\n## Proactive Triggers\n\nSurface these without being asked when you detect them in company context:\n- CAC rising quarter over quarter → channel efficiency declining, investigate\n- No brand positioning documented → messaging inconsistent across channels\n- Marketing budget allocation hasn't changed in 6+ months → market changed, budget didn't\n- Competitor launched major campaign → flag for competitive response\n- Pipeline contribution from marketing unclear → measurement gap, fix before spending more\n\n## Output Artifacts\n\n| Request | You Produce |\n|---------|-------------|\n| \"Plan our marketing budget\" | Channel allocation model with CAC targets per channel |\n| \"Position us vs competitors\" | Positioning map + messaging framework + proof points |\n| \"Design our growth model\" | Growth projection with channel mix scenarios |\n| \"Build the marketing team\" | Hiring plan with sequence, roles, agency vs in-house |\n| \"Marketing board section\" | Pipeline contribution report with channel ROI |\n\n## Reasoning Technique: Recursion of Thought\n\nDraft a marketing strategy, then critique it from the customer's perspective. Refine based on the critique. Repeat until the strategy survives scrutiny.\n\n## Communication\n\nAll output passes the Internal Quality Loop before reaching the founder (see `..\u002Fagent-protocol\u002FSKILL.md`).\n- Self-verify: source attribution, assumption audit, confidence scoring\n- Peer-verify: cross-functional claims validated by the owning role\n- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor\n- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision\n- Results only. Every finding tagged: ? verified, ? medium, ? assumed.\n\n## Context Integration\n\n- **Always** read `company-context.md` before responding (if it exists)\n- **During board meetings:** Use only your own analysis in Phase 2 (no cross-pollination)\n- **Invocation:** You can request input from other roles: `[INVOKE:role|question]`\n",{"name":5,"license":14,"metadata":54,"description":7},{"author":55,"domain":56,"updated":57,"version":58,"category":59,"frameworks":60,"python-tools":61},"Alireza Rezvani","cmo-leadership",1772668800000,"1.0.0","c-level","brand-positioning, growth-frameworks, marketing-org","marketing_budget_modeler.py, growth_model_simulator.py","main","510dd2917e051cc953dc55f56fd6ef442aa01b38","claude-skills\u002Fc-level-advisor\u002Fskills\u002Fcmo-advisor","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi","https:\u002F\u002Fgithub.com\u002Fmne20114-hash","2026-10-28 07:50:31",{"source":8,"skillName":5,"commands":69,"prompt":79,"zipAvailable":80},[70,73,76],{"tool":71,"command":72},"npx","npx skills add mne20114-hash\u002Fgest35bi --skill cmo-advisor",{"tool":74,"command":75},"bunx","bunx skills add mne20114-hash\u002Fgest35bi --skill cmo-advisor",{"tool":77,"command":78},"pnpm","pnpm dlx skills add mne20114-hash\u002Fgest35bi --skill cmo-advisor","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fcmo-advisor\u002FSKILL.md",true,[82,88,92,96,102],{"path":83,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":87},"references\u002Fbrand_positioning.md","REFERENCE","参考文档",16585,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fcmo-advisor\u002Freferences\u002Fbrand_positioning.md",{"path":89,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":90,"sourceHtmlUrl":91},"references\u002Fgrowth_frameworks.md",18927,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fcmo-advisor\u002Freferences\u002Fgrowth_frameworks.md",{"path":93,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":94,"sourceHtmlUrl":95},"references\u002Fmarketing_org.md",11595,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fcmo-advisor\u002Freferences\u002Fmarketing_org.md",{"path":97,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":100,"sourceHtmlUrl":101},"scripts\u002Fgrowth_model_simulator.py","SCRIPT","脚本",16870,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fcmo-advisor\u002Fscripts\u002Fgrowth_model_simulator.py",{"path":103,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":104,"sourceHtmlUrl":105},"scripts\u002Fmarketing_budget_modeler.py",15511,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fcmo-advisor\u002Fscripts\u002Fmarketing_budget_modeler.py",[107,142,163,185,210,230],{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":122,"publishedAt":49},"01M6C27N3H0F9RGG2KASPASH04","syllabus","Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fsyllabus\u002Fskills\u002Fsyllabus\u002FSKILL.md",[113,116,119],{"categoryNo":114,"categoryName":115,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":120,"categoryName":121,"taxonomyType":28,"taxonomyTypeDesc":29},"01JBSEEDCAT000000000000034","行政与办公人员",[109,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141],"docx","pr","create","intake","search","audit","integrity","checkpoint","learning","js","format","direct","Rules","find","consensus","list","extract","use","outcomes",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":152,"publishedAt":49},"01M6C27DMGZ4D6ERNHSVA8H8RJ","pulse","Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X\u002FTwitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend\u002Fsentiment\u002Fproblems\u002Fopportunities\u002Fcomparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fpulse\u002Fskills\u002Fpulse\u002FSKILL.md",[148,151],{"categoryNo":149,"categoryName":150,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},[144,153,154,124,155,126,128,156,157,129,158,159,160,161,134,135,162,136,46,140],"research","web","sentiment analysis","sentiment","Citations","analysis","discovery","open","tool","twitter",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":174,"publishedAt":49},"01M6C279M59X635VPD6Y9R616J","patent","Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search \u002F freedom-to-operate \u002F competitive landscape \u002F acquisition diligence \u002F litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fpatent\u002Fskills\u002Fpatent\u002FSKILL.md",[169,170,171],{"categoryNo":114,"categoryName":115,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":172,"categoryName":173,"taxonomyType":28,"taxonomyTypeDesc":29},"01JBSEEDCAT000000000000037","律师与法务",[165,123,124,175,176,177,126,127,128,158,178,179,180,135,181,182,45,183,140,184],"competitive landscape","routing","product","commits","Word","text","acquisition","decisions","coverage","advice",{"skillNo":186,"name":187,"nameZh":6,"description":188,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":189,"categories":190,"keywords":195,"publishedAt":49},"01M6C275RZWNRB3CCB14QQM7ES","notebooklm","Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio\u002FVideo Overviews, Mind Maps, Reports incl. Briefing Doc\u002FStudy Guide\u002FFAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fnotebooklm\u002Fskills\u002Fnotebooklm\u002FSKILL.md",[191,194],{"categoryNo":192,"categoryName":193,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},[187,196,197,153,198,199,200,201,202,203,204,205,160,180,134,206,207,208,209,140],"google","browser automation","automation","generate","browser","fast","SET","doc","Video","Audio","check","ask","environment","overview",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":214,"categories":215,"keywords":220,"publishedAt":49},"01M6C2717B0QDJ3Y4PJP77BMW5","litreview","Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER \u002F Decomposition \u002F hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5\u002F10\u002F20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed\u002FOpenAlex (or Consensus) query.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Flitreview\u002Fskills\u002Flitreview\u002FSKILL.md",[216,217,218,219],{"categoryNo":114,"categoryName":115,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":149,"categoryName":150,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":120,"categoryName":121,"taxonomyType":28,"taxonomyTypeDesc":29},[212,123,221,222,223,124,126,127,224,225,226,130,227,179,228,135,137,229,183,140],"MCP","writing","review","lane","keyless","literature review","plan","researcher","question",{"skillNo":231,"name":232,"nameZh":6,"description":233,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":234,"categories":235,"keywords":240,"publishedAt":49},"01M6C26X5G3WDVWQ40Y16ZS19F","grants","NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance\u002FInnovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget\u002Fscope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fgrants\u002Fskills\u002Fgrants\u002FSKILL.md",[236,237,238,239],{"categoryNo":114,"categoryName":115,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":149,"categoryName":150,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":120,"categoryName":121,"taxonomyType":28,"taxonomyTypeDesc":29},[232,123,153,124,241,126,127,128,242,41,129,158,179,135,136,137,45,208,140,243],"help","data","innovation"]