[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C18YEYGCG0EFMP7CWNWRA2":3,"skill-same:01M6C18YEYGCG0EFMP7CWNWRA2":70},{"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":25,"linkOnly":26,"markdownContent":27,"markdownBody":28,"frontMatter":29,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":13,"repositoryHtmlUrl":41,"repositoryHomepageUrl":6,"ownerHtmlUrl":42,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":43,"install":44,"resources":57},"01M6C18YEYGCG0EFMP7CWNWRA2","org-health-diagnostic",null,"Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.","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\u002Forg-health-diagnostic\u002FSKILL.md",[],[18,19,20,21,22,23,24],"health","org health diagnostic","dashboard","risk","check","board","user","2026-11-10 10:12:30",false,"---\nname: \"org-health-diagnostic\"\ndescription: \"Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: c-level\n  domain: organizational-health\n  updated: 2026-03-05\n  python-tools: health_scorer.py\n  frameworks: health-benchmarks\n---\n\n# Org Health Diagnostic\n\nEight dimensions. Traffic lights. Real benchmarks. Surfaces the problems you don't know you have.\n\n## Keywords\norg health, organizational health, health diagnostic, health dashboard, health check, company health, functional health, team health, startup health, health scorecard, health assessment, risk dashboard\n\n## Quick Start\n\n```bash\npython scripts\u002Fhealth_scorer.py        # Guided CLI — enter metrics, get scored dashboard\npython scripts\u002Fhealth_scorer.py --json # Output raw JSON for integration\n```\n\nOr describe your metrics in natural language:\n\n> \"Run an org health check\" — paste your key metrics or answer prompts\n> \"Score our [financial|revenue|product|engineering|people|ops|security|market] health\" — single-dimension deep dive\n\n## The 8 Dimensions\n\n### 1. ? Financial Health (CFO)\n**What it measures:** Can we fund operations and invest in growth?\n\nKey metrics:\n- **Runway** — months at current burn (Green: >12, Yellow: 6-12, Red: \u003C6)\n- **Burn multiple** — net burn \u002F net new ARR (Green: \u003C1.5x, Yellow: 1.5-2.5x, Red: >2.5x)\n- **Gross margin** — SaaS target: >65% (Green: >70%, Yellow: 55-70%, Red: \u003C55%)\n- **MoM growth rate** — contextual by stage (see benchmarks)\n- **Revenue concentration** — top customer % of ARR (Green: \u003C15%, Yellow: 15-25%, Red: >25%)\n\n### 2. ? Revenue Health (CRO)\n**What it measures:** Are customers staying, growing, and recommending us?\n\nKey metrics:\n- **NRR (Net Revenue Retention)** — Green: >110%, Yellow: 100-110%, Red: \u003C100%\n- **Logo churn rate (annualized)** — Green: \u003C5%, Yellow: 5-10%, Red: >10%\n- **Pipeline coverage (next quarter)** — Green: >3x, Yellow: 2-3x, Red: \u003C2x\n- **CAC payback period** — Green: \u003C12 months, Yellow: 12-18, Red: >18 months\n- **Average ACV trend** — directional: growing, flat, declining\n\n### 3. ? Product Health (CPO)\n**What it measures:** Do customers love and use the product?\n\nKey metrics:\n- **NPS** — Green: >40, Yellow: 20-40, Red: \u003C20\n- **DAU\u002FMAU ratio** — engagement proxy (Green: >40%, Yellow: 20-40%, Red: \u003C20%)\n- **Core feature adoption** — % of users using primary value feature (Green: >60%)\n- **Time-to-value** — days from signup to first core action (lower is better)\n- **Customer satisfaction (CSAT)** — Green: >4.2\u002F5, Yellow: 3.5-4.2, Red: \u003C3.5\n\n### 4. ⚙️ Engineering Health (CTO)\n**What it measures:** Can we ship reliably and sustain velocity?\n\nKey metrics:\n- **Deployment frequency** — Green: daily, Yellow: weekly, Red: monthly or less\n- **Change failure rate** — % of deployments causing incidents (Green: \u003C5%, Red: >15%)\n- **Mean time to recovery (MTTR)** — Green: \u003C1 hour, Yellow: 1-4 hours, Red: >4 hours\n- **Tech debt ratio** — % of sprint capacity on debt (Green: \u003C20%, Yellow: 20-35%, Red: >35%)\n- **Incident frequency** — P0\u002FP1 per month (Green: \u003C2, Yellow: 2-5, Red: >5)\n\n### 5. ? People Health (CHRO)\n**What it measures:** Is the team stable, engaged, and growing?\n\nKey metrics:\n- **Regrettable attrition (annualized)** — Green: \u003C10%, Yellow: 10-20%, Red: >20%\n- **Engagement score** — (eNPS or similar; Green: >30, Yellow: 0-30, Red: \u003C0)\n- **Time-to-fill (avg days)** — Green: \u003C45, Yellow: 45-90, Red: >90\n- **Manager-to-IC ratio** — Green: 1:5–1:8, Yellow: 1:3–1:5 or 1:8–1:12, Red: outside\n- **Internal promotion rate** — at least 25-30% of senior roles filled internally\n\n### 6. ? Operational Health (COO)\n**What it measures:** Are we executing our strategy with discipline?\n\nKey metrics:\n- **OKR completion rate** — % of key results hitting target (Green: >70%, Yellow: 50-70%, Red: \u003C50%)\n- **Decision cycle time** — days from decision needed to decision made (Green: \u003C48h, Yellow: 48h-1w)\n- **Meeting effectiveness** — % of meetings with clear outcome (qualitative)\n- **Process maturity** — level 1-5 scale (see COO advisor)\n- **Cross-functional initiative completion** — % on time, on scope\n\n### 7. ? Security Health (CISO)\n**What it measures:** Are we protecting customers and maintaining compliance?\n\nKey metrics:\n- **Security incidents (last 90 days)** — Green: 0, Yellow: 1-2 minor, Red: 1+ major\n- **Compliance status** — certifications current\u002Fin-progress vs. overdue\n- **Vulnerability remediation SLA** — % of critical CVEs patched within SLA (Green: 100%)\n- **Security training completion** — % of team current (Green: >95%)\n- **Pen test recency** — Green: \u003C12 months, Yellow: 12-24, Red: >24 months\n\n### 8. ? Market Health (CMO)\n**What it measures:** Are we winning in the market and growing efficiently?\n\nKey metrics:\n- **CAC trend** — improving, flat, or worsening QoQ\n- **Organic vs paid lead mix** — more organic = healthier (less fragile)\n- **Win rate** — % of qualified opportunities closed-won (Green: >25%, Yellow: 15-25%, Red: \u003C15%)\n- **Competitive win rate** — against primary competitors specifically\n- **Brand NPS** — awareness + preference scores in ICP\n\n---\n\n## Scoring & Traffic Lights\n\nEach dimension is scored 1-10 with traffic light:\n- ? **Green (7-10):** Healthy — maintain and optimize\n- ? **Yellow (4-6):** Watch — trend matters; improving or declining?\n- ? **Red (1-3):** Action required — address within 30 days\n\n**Overall Health Score:**\nWeighted average by company stage (see `references\u002Fhealth-benchmarks.md` for weights).\n\n---\n\n## Dimension Interactions (Why One Problem Creates Another)\n\n| If this dimension is red... | Watch these dimensions next |\n|-----------------------------|----------------------------|\n| Financial Health | People (freeze hiring) → Engineering (freeze infra) → Product (cut scope) |\n| Revenue Health | Financial (cash gap) → People (attrition risk) → Market (lose positioning) |\n| People Health | Engineering (velocity drops) → Product (quality drops) → Revenue (churn rises) |\n| Engineering Health | Product (features slip) → Revenue (deals stall on product) |\n| Product Health | Revenue (NRR drops, churn rises) → Market (CAC rises; referrals dry up) |\n| Operational Health | All dimensions degrade over time (execution failure cascades everywhere) |\n\n---\n\n## Dashboard Output Format\n\n```\nORG HEALTH DIAGNOSTIC — [Company] — [Date]\nStage: [Seed\u002FA\u002FB\u002FC]   Overall: [Score]\u002F10   Trend: [↑ Improving \u002F → Stable \u002F ↓ Declining]\n\nDIMENSION SCORES\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n? Financial    ? 8.2  Runway 14mo, burn 1.6x — strong\n? Revenue      ? 5.8  NRR 104%, pipeline thin (1.8x coverage)\n? Product      ? 7.4  NPS 42, DAU\u002FMAU 38%\n⚙️  Engineering  ? 5.2  Debt at 30%, MTTR 3.2h\n? People       ? 3.8  Attrition 24%, eng morale low\n? Operations   ? 6.0  OKR 65% completion\n? Security     ? 7.8  SOC 2 Type II complete, 0 incidents\n? Market       ? 5.5  CAC rising, win rate dropped to 22%\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nTOP PRIORITIES\n? [1] People: attrition at 24% — engineering velocity will drop in 60 days\n   Action: CHRO + CEO to run retention audit; target top 5 at-risk this week\n? [2] Revenue: pipeline coverage at 1.8x — Q+1 miss risk is high\n   Action: CRO to add 3 qualified opps within 30 days or shift forecast down\n? [3] Engineering: tech debt at 30% of sprint — shipping will slow by Q3\n   Action: CTO to propose debt sprint plan; COO to protect capacity\n\nWATCH\n→ People → Engineering cascade risk if attrition continues (see dimension interactions)\n```\n\n---\n\n## Graceful Degradation\n\nYou don't need all metrics to run a diagnostic. The tool handles partial data:\n- Missing metric → excluded from score, flagged as \"[data needed]\"\n- Score still valid for available dimensions\n- Report flags which gaps to fill for next cycle\n\n## References\n- `references\u002Fhealth-benchmarks.md` — benchmarks by stage (Seed, A, B, C)\n- `scripts\u002Fhealth_scorer.py` — CLI scoring tool with traffic light output\n","# Org Health Diagnostic\n\nEight dimensions. Traffic lights. Real benchmarks. Surfaces the problems you don't know you have.\n\n## Keywords\norg health, organizational health, health diagnostic, health dashboard, health check, company health, functional health, team health, startup health, health scorecard, health assessment, risk dashboard\n\n## Quick Start\n\n```bash\npython scripts\u002Fhealth_scorer.py        # Guided CLI — enter metrics, get scored dashboard\npython scripts\u002Fhealth_scorer.py --json # Output raw JSON for integration\n```\n\nOr describe your metrics in natural language:\n\n> \"Run an org health check\" — paste your key metrics or answer prompts\n> \"Score our [financial|revenue|product|engineering|people|ops|security|market] health\" — single-dimension deep dive\n\n## The 8 Dimensions\n\n### 1. ? Financial Health (CFO)\n**What it measures:** Can we fund operations and invest in growth?\n\nKey metrics:\n- **Runway** — months at current burn (Green: >12, Yellow: 6-12, Red: \u003C6)\n- **Burn multiple** — net burn \u002F net new ARR (Green: \u003C1.5x, Yellow: 1.5-2.5x, Red: >2.5x)\n- **Gross margin** — SaaS target: >65% (Green: >70%, Yellow: 55-70%, Red: \u003C55%)\n- **MoM growth rate** — contextual by stage (see benchmarks)\n- **Revenue concentration** — top customer % of ARR (Green: \u003C15%, Yellow: 15-25%, Red: >25%)\n\n### 2. ? Revenue Health (CRO)\n**What it measures:** Are customers staying, growing, and recommending us?\n\nKey metrics:\n- **NRR (Net Revenue Retention)** — Green: >110%, Yellow: 100-110%, Red: \u003C100%\n- **Logo churn rate (annualized)** — Green: \u003C5%, Yellow: 5-10%, Red: >10%\n- **Pipeline coverage (next quarter)** — Green: >3x, Yellow: 2-3x, Red: \u003C2x\n- **CAC payback period** — Green: \u003C12 months, Yellow: 12-18, Red: >18 months\n- **Average ACV trend** — directional: growing, flat, declining\n\n### 3. ? Product Health (CPO)\n**What it measures:** Do customers love and use the product?\n\nKey metrics:\n- **NPS** — Green: >40, Yellow: 20-40, Red: \u003C20\n- **DAU\u002FMAU ratio** — engagement proxy (Green: >40%, Yellow: 20-40%, Red: \u003C20%)\n- **Core feature adoption** — % of users using primary value feature (Green: >60%)\n- **Time-to-value** — days from signup to first core action (lower is better)\n- **Customer satisfaction (CSAT)** — Green: >4.2\u002F5, Yellow: 3.5-4.2, Red: \u003C3.5\n\n### 4. ⚙️ Engineering Health (CTO)\n**What it measures:** Can we ship reliably and sustain velocity?\n\nKey metrics:\n- **Deployment frequency** — Green: daily, Yellow: weekly, Red: monthly or less\n- **Change failure rate** — % of deployments causing incidents (Green: \u003C5%, Red: >15%)\n- **Mean time to recovery (MTTR)** — Green: \u003C1 hour, Yellow: 1-4 hours, Red: >4 hours\n- **Tech debt ratio** — % of sprint capacity on debt (Green: \u003C20%, Yellow: 20-35%, Red: >35%)\n- **Incident frequency** — P0\u002FP1 per month (Green: \u003C2, Yellow: 2-5, Red: >5)\n\n### 5. ? People Health (CHRO)\n**What it measures:** Is the team stable, engaged, and growing?\n\nKey metrics:\n- **Regrettable attrition (annualized)** — Green: \u003C10%, Yellow: 10-20%, Red: >20%\n- **Engagement score** — (eNPS or similar; Green: >30, Yellow: 0-30, Red: \u003C0)\n- **Time-to-fill (avg days)** — Green: \u003C45, Yellow: 45-90, Red: >90\n- **Manager-to-IC ratio** — Green: 1:5–1:8, Yellow: 1:3–1:5 or 1:8–1:12, Red: outside\n- **Internal promotion rate** — at least 25-30% of senior roles filled internally\n\n### 6. ? Operational Health (COO)\n**What it measures:** Are we executing our strategy with discipline?\n\nKey metrics:\n- **OKR completion rate** — % of key results hitting target (Green: >70%, Yellow: 50-70%, Red: \u003C50%)\n- **Decision cycle time** — days from decision needed to decision made (Green: \u003C48h, Yellow: 48h-1w)\n- **Meeting effectiveness** — % of meetings with clear outcome (qualitative)\n- **Process maturity** — level 1-5 scale (see COO advisor)\n- **Cross-functional initiative completion** — % on time, on scope\n\n### 7. ? Security Health (CISO)\n**What it measures:** Are we protecting customers and maintaining compliance?\n\nKey metrics:\n- **Security incidents (last 90 days)** — Green: 0, Yellow: 1-2 minor, Red: 1+ major\n- **Compliance status** — certifications current\u002Fin-progress vs. overdue\n- **Vulnerability remediation SLA** — % of critical CVEs patched within SLA (Green: 100%)\n- **Security training completion** — % of team current (Green: >95%)\n- **Pen test recency** — Green: \u003C12 months, Yellow: 12-24, Red: >24 months\n\n### 8. ? Market Health (CMO)\n**What it measures:** Are we winning in the market and growing efficiently?\n\nKey metrics:\n- **CAC trend** — improving, flat, or worsening QoQ\n- **Organic vs paid lead mix** — more organic = healthier (less fragile)\n- **Win rate** — % of qualified opportunities closed-won (Green: >25%, Yellow: 15-25%, Red: \u003C15%)\n- **Competitive win rate** — against primary competitors specifically\n- **Brand NPS** — awareness + preference scores in ICP\n\n---\n\n## Scoring & Traffic Lights\n\nEach dimension is scored 1-10 with traffic light:\n- ? **Green (7-10):** Healthy — maintain and optimize\n- ? **Yellow (4-6):** Watch — trend matters; improving or declining?\n- ? **Red (1-3):** Action required — address within 30 days\n\n**Overall Health Score:**\nWeighted average by company stage (see `references\u002Fhealth-benchmarks.md` for weights).\n\n---\n\n## Dimension Interactions (Why One Problem Creates Another)\n\n| If this dimension is red... | Watch these dimensions next |\n|-----------------------------|----------------------------|\n| Financial Health | People (freeze hiring) → Engineering (freeze infra) → Product (cut scope) |\n| Revenue Health | Financial (cash gap) → People (attrition risk) → Market (lose positioning) |\n| People Health | Engineering (velocity drops) → Product (quality drops) → Revenue (churn rises) |\n| Engineering Health | Product (features slip) → Revenue (deals stall on product) |\n| Product Health | Revenue (NRR drops, churn rises) → Market (CAC rises; referrals dry up) |\n| Operational Health | All dimensions degrade over time (execution failure cascades everywhere) |\n\n---\n\n## Dashboard Output Format\n\n```\nORG HEALTH DIAGNOSTIC — [Company] — [Date]\nStage: [Seed\u002FA\u002FB\u002FC]   Overall: [Score]\u002F10   Trend: [↑ Improving \u002F → Stable \u002F ↓ Declining]\n\nDIMENSION SCORES\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n? Financial    ? 8.2  Runway 14mo, burn 1.6x — strong\n? Revenue      ? 5.8  NRR 104%, pipeline thin (1.8x coverage)\n? Product      ? 7.4  NPS 42, DAU\u002FMAU 38%\n⚙️  Engineering  ? 5.2  Debt at 30%, MTTR 3.2h\n? People       ? 3.8  Attrition 24%, eng morale low\n? Operations   ? 6.0  OKR 65% completion\n? Security     ? 7.8  SOC 2 Type II complete, 0 incidents\n? Market       ? 5.5  CAC rising, win rate dropped to 22%\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nTOP PRIORITIES\n? [1] People: attrition at 24% — engineering velocity will drop in 60 days\n   Action: CHRO + CEO to run retention audit; target top 5 at-risk this week\n? [2] Revenue: pipeline coverage at 1.8x — Q+1 miss risk is high\n   Action: CRO to add 3 qualified opps within 30 days or shift forecast down\n? [3] Engineering: tech debt at 30% of sprint — shipping will slow by Q3\n   Action: CTO to propose debt sprint plan; COO to protect capacity\n\nWATCH\n→ People → Engineering cascade risk if attrition continues (see dimension interactions)\n```\n\n---\n\n## Graceful Degradation\n\nYou don't need all metrics to run a diagnostic. The tool handles partial data:\n- Missing metric → excluded from score, flagged as \"[data needed]\"\n- Score still valid for available dimensions\n- Report flags which gaps to fill for next cycle\n\n## References\n- `references\u002Fhealth-benchmarks.md` — benchmarks by stage (Seed, A, B, C)\n- `scripts\u002Fhealth_scorer.py` — CLI scoring tool with traffic light output\n",{"name":5,"license":14,"metadata":30,"description":7},{"author":31,"domain":32,"updated":33,"version":34,"category":35,"frameworks":36,"python-tools":37},"Alireza Rezvani","organizational-health",1772668800000,"1.0.0","c-level","health-benchmarks","health_scorer.py","main","510dd2917e051cc953dc55f56fd6ef442aa01b38","claude-skills\u002Fc-level-advisor\u002Fskills\u002Forg-health-diagnostic","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi","https:\u002F\u002Fgithub.com\u002Fmne20114-hash","2026-10-28 07:50:31",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add mne20114-hash\u002Fgest35bi --skill org-health-diagnostic",{"tool":50,"command":51},"bunx","bunx skills add mne20114-hash\u002Fgest35bi --skill org-health-diagnostic",{"tool":53,"command":54},"pnpm","pnpm dlx skills add mne20114-hash\u002Fgest35bi --skill org-health-diagnostic","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Forg-health-diagnostic\u002FSKILL.md",true,[58,64],{"path":59,"resourceType":60,"resourceTypeDesc":61,"sizeBytes":62,"sourceHtmlUrl":63},"references\u002Fhealth-benchmarks.md","REFERENCE","参考文档",9094,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Forg-health-diagnostic\u002Freferences\u002Fhealth-benchmarks.md",{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"scripts\u002Fhealth_scorer.py","SCRIPT","脚本",21377,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Forg-health-diagnostic\u002Fscripts\u002Fhealth_scorer.py",[71,110,131,154,178,198],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":90,"publishedAt":25},"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",[77,82,85],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":83,"categoryName":84,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[73,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109],"docx","pr","create","intake","search","audit","integrity","checkpoint","learning","js","format","direct","Rules","find","consensus","list","extract","use","outcomes",{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":120,"publishedAt":25},"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",[116,119],{"categoryNo":117,"categoryName":118,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":83,"categoryName":84,"taxonomyType":80,"taxonomyTypeDesc":81},[112,121,122,92,123,94,96,124,125,97,126,127,128,129,102,103,130,104,24,108],"research","web","sentiment analysis","sentiment","Citations","analysis","discovery","open","tool","twitter",{"skillNo":132,"name":133,"nameZh":6,"description":134,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":142,"publishedAt":25},"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",[137,138,139],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":83,"categoryName":84,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":140,"categoryName":141,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000037","律师与法务",[133,91,92,143,144,145,94,95,96,126,146,147,148,103,149,150,151,152,108,153],"competitive landscape","routing","product","commits","Word","text","acquisition","decisions","strategy","coverage","advice",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":164,"publishedAt":25},"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",[160,163],{"categoryNo":161,"categoryName":162,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":83,"categoryName":84,"taxonomyType":80,"taxonomyTypeDesc":81},[156,165,166,121,167,168,169,170,171,172,173,174,128,148,102,22,175,176,177,108],"google","browser automation","automation","generate","browser","fast","SET","doc","Video","Audio","ask","environment","overview",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":188,"publishedAt":25},"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",[184,185,186,187],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":117,"categoryName":118,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":83,"categoryName":84,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},[180,91,189,190,191,92,94,95,192,193,194,98,195,147,196,103,105,197,152,108],"MCP","writing","review","lane","keyless","literature review","plan","researcher","question",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":208,"publishedAt":25},"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",[204,205,206,207],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":117,"categoryName":118,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":83,"categoryName":84,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},[200,91,121,92,209,94,95,96,210,211,97,126,147,103,104,105,151,176,108,212],"help","data","Budget","innovation"]