[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7139JAC6SH73ZHNB00P5FJB":3,"skill-same:01M7139JAC6SH73ZHNB00P5FJB":91},{"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":16,"sourceHtmlUrl":17,"categories":18,"keywords":24,"publishedAt":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M7139JAC6SH73ZHNB00P5FJB","market-researcher",null,"God-level internet research and data synthesis for any topic. Use when the user wants to research, compare, analyze, or find the best options for anything: business ideas, products (phones, laptops, gadgets), services (credit cards, banks, insurance), travel (hotels, flights, destinations), market trends, industry data, competitor analysis, pricing comparisons, consumer reviews, emerging opportunities, or any general-purpose research task. Triggers on: 'research', 'find the best', 'compare', 'what's the best', 'top 10', 'under X price', 'market data', 'industry trends', 'alternatives to', 'reviews of', or any request requiring internet research and data gathering.","FDU-INS\u002FInsurance-Skills","FDU-INS","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F167067594?v=4","01M6XEYMRS4CVJMZ834YWE66BV","FDU-Insurance","01M6XEYMXPDA34HFM0ZE6AY78G",82,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002Fmarket-researcher\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002Fmarket-researcher\u002FSKILL.md",[19],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"Market","researcher","market researcher","alternatives","competitor","for","ideas","travel","data","request","industry trends","options","top","analyze","market data","analysis","when","internet","insurance","reviews","2026-11-10 10:12:30",false,"---\nname: market-researcher\ndescription: \"God-level internet research and data synthesis for any topic. Use when the user wants to research, compare, analyze, or find the best options for anything: business ideas, products (phones, laptops, gadgets), services (credit cards, banks, insurance), travel (hotels, flights, destinations), market trends, industry data, competitor analysis, pricing comparisons, consumer reviews, emerging opportunities, or any general-purpose research task. Triggers on: 'research', 'find the best', 'compare', 'what's the best', 'top 10', 'under X price', 'market data', 'industry trends', 'alternatives to', 'reviews of', or any request requiring internet research and data gathering.\"\n---\n\n# Market Researcher\n\nTransform any research question into structured, actionable intelligence with verified data, source attribution, and clear recommendations.\n\n## Core Research Process\n\nEvery research task follows this workflow:\n\n```\nUser Question\n    │\n    ▼\n1. SCOPE → Define what exactly needs answering\n    │\n    ▼\n2. SEARCH → Gather data from multiple sources\n    │\n    ▼\n3. VERIFY → Cross-reference and validate findings\n    │\n    ▼\n4. SYNTHESIZE → Organize into structured insights\n    │\n    ▼\n5. DELIVER → Present with sources and recommendations\n```\n\n## Step 1: Scope the Research\n\nBefore searching, clarify the research boundaries:\n\n**Identify the research type:**\n\n| Type | Example | Approach |\n|------|---------|----------|\n| **Product comparison** | \"Best laptop under $1000\" | Feature matrix + price-value scoring |\n| **Service evaluation** | \"Best credit cards for travel\" | Benefits comparison + cost analysis |\n| **Market analysis** | \"AI industry trends 2026\" | Data aggregation + trend mapping |\n| **Opportunity research** | \"Business ideas in health tech\" | Market gap analysis + viability scoring |\n| **Location\u002Ftravel** | \"Best hotels in Tokyo\" | Rating aggregation + value scoring |\n| **Competitor analysis** | \"Alternatives to Notion\" | Feature parity + differentiation mapping |\n| **General inquiry** | \"How does X work?\" | Multi-source synthesis + expert consensus |\n\n**Define constraints explicitly:**\n- Budget range (if applicable)\n- Geography\u002Fregion\n- Time sensitivity (current data vs. historical)\n- User's experience level (beginner vs. expert)\n- Priority factors (price vs. quality vs. speed vs. features)\n\n**If constraints are unclear, ask.** One focused question beats five assumptions.\n\n## Step 2: Search Strategy\n\n### Source Priority Hierarchy\n\nPrioritize sources in this order:\n\n1. **Primary data** — Official websites, government databases, SEC filings, patent databases, published research papers\n2. **Authoritative aggregators** — Industry reports (Gartner, Statista, IBISWorld), financial databases (Bloomberg, Yahoo Finance), review aggregators (Wirecutter, Consumer Reports)\n3. **Expert content** — Domain-specific publications, verified expert analyses, peer-reviewed journals, established trade publications\n4. **Community intelligence** — Reddit threads (sorted by top\u002Fbest), Stack Exchange, Quora (verified authors), specialized forums\n5. **News and media** — Recent articles from established outlets, press releases, conference coverage\n6. **Social signals** — Trending topics, user sentiment, social media discussions (lowest reliability, use for directional signals only)\n\n### Search Techniques\n\n**Breadth-first for discovery:**\n- Search the broad topic to understand the landscape\n- Identify key players, categories, and dimensions\n- Note recurring recommendations and patterns across multiple sources\n\n**Depth-first for validation:**\n- Drill into top candidates with specific queries\n- Cross-reference claims across independent sources\n- Look for disconfirming evidence (negative reviews, limitations, complaints)\n\n**Temporal awareness:**\n- Always check publication dates — outdated data kills research quality\n- For products: specs and pricing change rapidly, verify current availability\n- For markets: use the most recent data available, note the data vintage\n- Flag when information may be stale\n\n### Research Depth Calibration\n\n| Request Complexity | Sources to Check | Time Investment |\n|-------------------|-----------------|-----------------|\n| Quick comparison (2-3 items) | 3-5 sources | Light |\n| Thorough comparison (5-10 items) | 8-12 sources | Medium |\n| Market analysis | 10-20 sources | Deep |\n| Industry deep-dive | 20+ sources | Comprehensive |\n\n## Step 3: Verify and Validate\n\n### The Three-Source Rule\n\n**Never present a claim backed by only one source.** Minimum verification:\n\n- **Facts and statistics** → Confirm with 3+ independent sources\n- **Product claims** → Cross-reference specs from manufacturer AND third-party reviewers\n- **Market data** → Triangulate from multiple research firms or data providers\n- **Pricing** → Verify from official source + at least one independent price tracker\n- **Expert opinions** → Present as opinions, not facts; note consensus vs. dissent\n\n### Red Flags to Watch For\n\n- Affiliate-heavy \"review\" sites (prioritize unbiased sources)\n- Outdated information presented as current\n- Single-source claims repeated across multiple sites (echo chamber)\n- Sponsored content disguised as editorial\n- Survivorship bias (only successful examples shown)\n- Small sample sizes extrapolated to broad conclusions\n\n### Data Quality Tags\n\nTag every data point with confidence level:\n\n- **HIGH** — Official sources, verified data, multiple confirmations\n- **MEDIUM** — Reputable single source, expert opinion, recent but unconfirmed\n- **LOW** — Anecdotal, single user report, potentially outdated\n- **ESTIMATED** — Calculated or inferred from available data\n\n## Step 4: Synthesize Findings\n\n### Structure by Research Type\n\n**For product\u002Fservice comparisons** — See [references\u002Fcomparison-templates.md](references\u002Fcomparison-templates.md)\n\n**For market analysis** — See [references\u002Fmarket-analysis-frameworks.md](references\u002Fmarket-analysis-frameworks.md)\n\n**For opportunity\u002Fidea research** — See [references\u002Fopportunity-assessment.md](references\u002Fopportunity-assessment.md)\n\n### Universal Synthesis Rules\n\n1. **Lead with the answer** — Start with the recommendation or key finding, then supporting evidence\n2. **Quantify everything possible** — Numbers > adjectives (\"37% market growth\" not \"strong growth\")\n3. **Compare apples to apples** — Normalize units, currencies, time periods\n4. **Show trade-offs explicitly** — Nothing is perfect; show what you gain and lose with each option\n5. **Separate facts from opinions** — Clearly mark data vs. interpretation\n6. **Attribute sources** — Every claim needs a source; every number needs a citation\n7. **Include contrarian views** — Note where experts disagree and why\n\n## Step 5: Deliver Results\n\n### Output Format Decision Tree\n\n```\nWhat did the user ask for?\n│\n├─ \"Best X for Y\" → Ranked recommendation list with comparison table\n├─ \"Compare A vs B\" → Head-to-head comparison matrix\n├─ \"Market data on X\" → Data report with charts\u002Ftables\n├─ \"Ideas for X\" → Scored opportunity list with viability assessment\n├─ \"How does X work?\" → Structured explainer with sources\n└─ General research → Executive summary + detailed findings\n```\n\n### Every Research Output Must Include\n\n1. **Executive summary** (2-3 sentences answering the core question)\n2. **Key findings** (structured data — tables, ranked lists, or matrices)\n3. **Methodology note** (what was searched, how many sources, data vintage)\n4. **Source list** (URLs, publication names, dates)\n5. **Caveats** (limitations, data gaps, areas needing further research)\n6. **Actionable next steps** (what the user should do with this information)\n\n### Quality Standards\n\n- **No filler** — Every sentence must add information value\n- **No hedging without reason** — Be direct; qualify only when genuinely uncertain\n- **No generic advice** — Tailor every finding to the user's specific constraints\n- **Current data** — Flag anything older than 6 months; reject anything older than 2 years for fast-moving markets\n- **Honest gaps** — If data doesn't exist or is unreliable, say so explicitly\n\n## Research Modes\n\n### Quick Research (respond within minutes)\n- User needs a fast answer with reasonable confidence\n- Check 3-5 top sources, provide ranked answer with brief rationale\n- Mark as \"quick research\" — suggest deeper dive if needed\n\n### Deep Research (comprehensive analysis)\n- User needs thorough, decision-grade intelligence\n- Check 10-20+ sources, build comparison matrices, verify all claims\n- Provide full structured report with methodology notes\n\n### Ongoing Research (iterative refinement)\n- User refines criteria after seeing initial results\n- Build on previous findings, narrow scope, add new dimensions\n- Track what's been researched vs. what's new\n\n## Special Research Domains\n\n### Product Research (Electronics, Gadgets, Tools)\n- Always include: price, key specs, user rating (aggregated), pros\u002Fcons\n- Check for: recent model releases that may supersede recommendations\n- Sources: manufacturer sites, Wirecutter, RTINGS, specialized review sites\n- Watch for: regional availability, warranty differences, ecosystem lock-in\n\n### Financial Products (Credit Cards, Banks, Insurance)\n- Always include: APR\u002Ffees, rewards structure, eligibility, fine print\n- Check for: promotional rates vs. ongoing rates, hidden fees\n- Sources: official issuer sites, NerdWallet, Bankrate, regulatory filings\n- Watch for: affiliate bias in comparison sites, regional availability\n\n### Travel Research (Hotels, Flights, Destinations)\n- Always include: price range, rating, location convenience, seasonal factors\n- Check for: recent reviews (last 6 months), renovation status, hidden fees\n- Sources: booking platforms, TripAdvisor, travel blogs, Google Maps reviews\n- Watch for: fake reviews, seasonal pricing swings, currency fluctuations\n\n### Market & Industry Research\n- Always include: market size, growth rate, key players, trends\n- Check for: methodology behind market size estimates, sample sizes\n- Sources: Statista, IBISWorld, industry associations, SEC filings, research papers\n- Watch for: conflicting estimates between research firms, outdated projections\n\n### Business Ideas & Opportunities\n- Always include: market gap, competition level, barrier to entry, revenue potential\n- Check for: existing solutions, failure cases, regulatory requirements\n- Sources: Crunchbase, Product Hunt, patent databases, startup databases\n- Watch for: survivorship bias, overhyped markets, regulatory risks\n\n## Anti-Patterns (Never Do These)\n\n- ❌ Present AI-generated data as real research (always use actual sources)\n- ❌ Give a single recommendation without alternatives\n- ❌ Ignore the user's specific constraints (budget, location, experience)\n- ❌ Copy-paste from one source without cross-referencing\n- ❌ Present outdated data without flagging it\n- ❌ Skip source attribution\n- ❌ Use vague language (\"many experts say\", \"studies show\") without specifics\n- ❌ Over-research simple questions (match depth to complexity)\n- ❌ Present sponsored\u002Faffiliate content as unbiased research\n","# Market Researcher\n\nTransform any research question into structured, actionable intelligence with verified data, source attribution, and clear recommendations.\n\n## Core Research Process\n\nEvery research task follows this workflow:\n\n```\nUser Question\n    │\n    ▼\n1. SCOPE → Define what exactly needs answering\n    │\n    ▼\n2. SEARCH → Gather data from multiple sources\n    │\n    ▼\n3. VERIFY → Cross-reference and validate findings\n    │\n    ▼\n4. SYNTHESIZE → Organize into structured insights\n    │\n    ▼\n5. DELIVER → Present with sources and recommendations\n```\n\n## Step 1: Scope the Research\n\nBefore searching, clarify the research boundaries:\n\n**Identify the research type:**\n\n| Type | Example | Approach |\n|------|---------|----------|\n| **Product comparison** | \"Best laptop under $1000\" | Feature matrix + price-value scoring |\n| **Service evaluation** | \"Best credit cards for travel\" | Benefits comparison + cost analysis |\n| **Market analysis** | \"AI industry trends 2026\" | Data aggregation + trend mapping |\n| **Opportunity research** | \"Business ideas in health tech\" | Market gap analysis + viability scoring |\n| **Location\u002Ftravel** | \"Best hotels in Tokyo\" | Rating aggregation + value scoring |\n| **Competitor analysis** | \"Alternatives to Notion\" | Feature parity + differentiation mapping |\n| **General inquiry** | \"How does X work?\" | Multi-source synthesis + expert consensus |\n\n**Define constraints explicitly:**\n- Budget range (if applicable)\n- Geography\u002Fregion\n- Time sensitivity (current data vs. historical)\n- User's experience level (beginner vs. expert)\n- Priority factors (price vs. quality vs. speed vs. features)\n\n**If constraints are unclear, ask.** One focused question beats five assumptions.\n\n## Step 2: Search Strategy\n\n### Source Priority Hierarchy\n\nPrioritize sources in this order:\n\n1. **Primary data** — Official websites, government databases, SEC filings, patent databases, published research papers\n2. **Authoritative aggregators** — Industry reports (Gartner, Statista, IBISWorld), financial databases (Bloomberg, Yahoo Finance), review aggregators (Wirecutter, Consumer Reports)\n3. **Expert content** — Domain-specific publications, verified expert analyses, peer-reviewed journals, established trade publications\n4. **Community intelligence** — Reddit threads (sorted by top\u002Fbest), Stack Exchange, Quora (verified authors), specialized forums\n5. **News and media** — Recent articles from established outlets, press releases, conference coverage\n6. **Social signals** — Trending topics, user sentiment, social media discussions (lowest reliability, use for directional signals only)\n\n### Search Techniques\n\n**Breadth-first for discovery:**\n- Search the broad topic to understand the landscape\n- Identify key players, categories, and dimensions\n- Note recurring recommendations and patterns across multiple sources\n\n**Depth-first for validation:**\n- Drill into top candidates with specific queries\n- Cross-reference claims across independent sources\n- Look for disconfirming evidence (negative reviews, limitations, complaints)\n\n**Temporal awareness:**\n- Always check publication dates — outdated data kills research quality\n- For products: specs and pricing change rapidly, verify current availability\n- For markets: use the most recent data available, note the data vintage\n- Flag when information may be stale\n\n### Research Depth Calibration\n\n| Request Complexity | Sources to Check | Time Investment |\n|-------------------|-----------------|-----------------|\n| Quick comparison (2-3 items) | 3-5 sources | Light |\n| Thorough comparison (5-10 items) | 8-12 sources | Medium |\n| Market analysis | 10-20 sources | Deep |\n| Industry deep-dive | 20+ sources | Comprehensive |\n\n## Step 3: Verify and Validate\n\n### The Three-Source Rule\n\n**Never present a claim backed by only one source.** Minimum verification:\n\n- **Facts and statistics** → Confirm with 3+ independent sources\n- **Product claims** → Cross-reference specs from manufacturer AND third-party reviewers\n- **Market data** → Triangulate from multiple research firms or data providers\n- **Pricing** → Verify from official source + at least one independent price tracker\n- **Expert opinions** → Present as opinions, not facts; note consensus vs. dissent\n\n### Red Flags to Watch For\n\n- Affiliate-heavy \"review\" sites (prioritize unbiased sources)\n- Outdated information presented as current\n- Single-source claims repeated across multiple sites (echo chamber)\n- Sponsored content disguised as editorial\n- Survivorship bias (only successful examples shown)\n- Small sample sizes extrapolated to broad conclusions\n\n### Data Quality Tags\n\nTag every data point with confidence level:\n\n- **HIGH** — Official sources, verified data, multiple confirmations\n- **MEDIUM** — Reputable single source, expert opinion, recent but unconfirmed\n- **LOW** — Anecdotal, single user report, potentially outdated\n- **ESTIMATED** — Calculated or inferred from available data\n\n## Step 4: Synthesize Findings\n\n### Structure by Research Type\n\n**For product\u002Fservice comparisons** — See [references\u002Fcomparison-templates.md](references\u002Fcomparison-templates.md)\n\n**For market analysis** — See [references\u002Fmarket-analysis-frameworks.md](references\u002Fmarket-analysis-frameworks.md)\n\n**For opportunity\u002Fidea research** — See [references\u002Fopportunity-assessment.md](references\u002Fopportunity-assessment.md)\n\n### Universal Synthesis Rules\n\n1. **Lead with the answer** — Start with the recommendation or key finding, then supporting evidence\n2. **Quantify everything possible** — Numbers > adjectives (\"37% market growth\" not \"strong growth\")\n3. **Compare apples to apples** — Normalize units, currencies, time periods\n4. **Show trade-offs explicitly** — Nothing is perfect; show what you gain and lose with each option\n5. **Separate facts from opinions** — Clearly mark data vs. interpretation\n6. **Attribute sources** — Every claim needs a source; every number needs a citation\n7. **Include contrarian views** — Note where experts disagree and why\n\n## Step 5: Deliver Results\n\n### Output Format Decision Tree\n\n```\nWhat did the user ask for?\n│\n├─ \"Best X for Y\" → Ranked recommendation list with comparison table\n├─ \"Compare A vs B\" → Head-to-head comparison matrix\n├─ \"Market data on X\" → Data report with charts\u002Ftables\n├─ \"Ideas for X\" → Scored opportunity list with viability assessment\n├─ \"How does X work?\" → Structured explainer with sources\n└─ General research → Executive summary + detailed findings\n```\n\n### Every Research Output Must Include\n\n1. **Executive summary** (2-3 sentences answering the core question)\n2. **Key findings** (structured data — tables, ranked lists, or matrices)\n3. **Methodology note** (what was searched, how many sources, data vintage)\n4. **Source list** (URLs, publication names, dates)\n5. **Caveats** (limitations, data gaps, areas needing further research)\n6. **Actionable next steps** (what the user should do with this information)\n\n### Quality Standards\n\n- **No filler** — Every sentence must add information value\n- **No hedging without reason** — Be direct; qualify only when genuinely uncertain\n- **No generic advice** — Tailor every finding to the user's specific constraints\n- **Current data** — Flag anything older than 6 months; reject anything older than 2 years for fast-moving markets\n- **Honest gaps** — If data doesn't exist or is unreliable, say so explicitly\n\n## Research Modes\n\n### Quick Research (respond within minutes)\n- User needs a fast answer with reasonable confidence\n- Check 3-5 top sources, provide ranked answer with brief rationale\n- Mark as \"quick research\" — suggest deeper dive if needed\n\n### Deep Research (comprehensive analysis)\n- User needs thorough, decision-grade intelligence\n- Check 10-20+ sources, build comparison matrices, verify all claims\n- Provide full structured report with methodology notes\n\n### Ongoing Research (iterative refinement)\n- User refines criteria after seeing initial results\n- Build on previous findings, narrow scope, add new dimensions\n- Track what's been researched vs. what's new\n\n## Special Research Domains\n\n### Product Research (Electronics, Gadgets, Tools)\n- Always include: price, key specs, user rating (aggregated), pros\u002Fcons\n- Check for: recent model releases that may supersede recommendations\n- Sources: manufacturer sites, Wirecutter, RTINGS, specialized review sites\n- Watch for: regional availability, warranty differences, ecosystem lock-in\n\n### Financial Products (Credit Cards, Banks, Insurance)\n- Always include: APR\u002Ffees, rewards structure, eligibility, fine print\n- Check for: promotional rates vs. ongoing rates, hidden fees\n- Sources: official issuer sites, NerdWallet, Bankrate, regulatory filings\n- Watch for: affiliate bias in comparison sites, regional availability\n\n### Travel Research (Hotels, Flights, Destinations)\n- Always include: price range, rating, location convenience, seasonal factors\n- Check for: recent reviews (last 6 months), renovation status, hidden fees\n- Sources: booking platforms, TripAdvisor, travel blogs, Google Maps reviews\n- Watch for: fake reviews, seasonal pricing swings, currency fluctuations\n\n### Market & Industry Research\n- Always include: market size, growth rate, key players, trends\n- Check for: methodology behind market size estimates, sample sizes\n- Sources: Statista, IBISWorld, industry associations, SEC filings, research papers\n- Watch for: conflicting estimates between research firms, outdated projections\n\n### Business Ideas & Opportunities\n- Always include: market gap, competition level, barrier to entry, revenue potential\n- Check for: existing solutions, failure cases, regulatory requirements\n- Sources: Crunchbase, Product Hunt, patent databases, startup databases\n- Watch for: survivorship bias, overhyped markets, regulatory risks\n\n## Anti-Patterns (Never Do These)\n\n- ❌ Present AI-generated data as real research (always use actual sources)\n- ❌ Give a single recommendation without alternatives\n- ❌ Ignore the user's specific constraints (budget, location, experience)\n- ❌ Copy-paste from one source without cross-referencing\n- ❌ Present outdated data without flagging it\n- ❌ Skip source attribution\n- ❌ Use vague language (\"many experts say\", \"studies show\") without specifics\n- ❌ Over-research simple questions (match depth to complexity)\n- ❌ Present sponsored\u002Faffiliate content as unbiased research\n",{"name":5,"description":7},"main","b22eca2e974f918ce591c5b2bd829fb7510e0191","Skills\u002Fmarket-researcher",18,"https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills","https:\u002F\u002Fgithub.com\u002FFDU-INS","Fudan University Department of Risk Management and Insurance","2026-07-12 12:54:34",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add FDU-INS\u002FInsurance-Skills --skill market-researcher",{"tool":64,"command":65},"bunx","bunx skills add FDU-INS\u002FInsurance-Skills --skill market-researcher",{"tool":67,"command":68},"pnpm","pnpm dlx skills add FDU-INS\u002FInsurance-Skills --skill 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(Roinjiang)","Activates when the user needs legal advice, contract review, insurance law consultation, startup legal support, or any legal\u002Fregulatory matter. She is a top-tier in-house lawyer with absolute loyalty to the CEO, specializing in insurance law, financial consumer protection, privacy, contracts, labor law, family law, civil and criminal matters.","https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002F로인장 (Roinjiang)\u002FSKILL.md",[98],{"categoryNo":99,"categoryName":100,"taxonomyType":101,"taxonomyTypeDesc":102},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[94,104,43,105,106,107,41,108,109,110,37,111,112,113,114,115,116,117,118,119],"insurance law","civil","contract","family","review","loyalty","with","contract review","ceo","support","advice","consultation","regulatory","privacy","protection","startup",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":45},"01M713QRN8VFMA9VKS6R4DJ2WS","zocdoc-doctor-finder","Use when a user needs to find a doctor, dentist, specialist, therapist, or healthcare provider — especially when they mention insurance, in-network, availability, location, appointments, or booking. Also use for browsing provider reviews, comparing doctors by specialty, or checking if a provider takes their insurance.","https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002Fzocdoc-doctor-finder\u002FSKILL.md",[],[127,128,129,44,43,130,131,41,132,133,134,135,136,137,138,30,139,140,141,142],"zocdoc doctor finder","doctor","healthcare","browser automation","access","browsing","browser","booking","network","therapist","computer","availability","provider","tool","use","automation",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":152,"publishedAt":45},"01M713QKGV3FTX7EEYWKDM8ENZ","zenmux-context","Answers any question about ZenMux by reading the latest official documentation. Use this skill whenever the user asks about ZenMux product features, API usage, configuration, integration, pricing, models, providers, routing, fallback, streaming, multimodal, structured output, tool calling, reasoning, prompt caching, image generation, video generation, web search, long context, observability, logs, cost tracking, usage analytics, insurance, subscription, pay-as-you-go, invoices, best practices for tools like Claude Code, Cursor, Cline, CodeX, Gemini CLI, opencode, Cherry Studio, Obsidian, Sider, Open-WebUI, Dify, Neovate, GitHub Copilot, OpenClaw, CC-Switch, Immersive Translate, Studio Chat, architecture, benchmarks, FAQ, contact, privacy, terms of service, compliance, or any other ZenMux-related topic. Also trigger when the user writes in Chinese about ZenMux: 文档, 使用指南, 快速开始, API 参考, 最佳实践, 模型路由, 供应商路由, 订阅, 按量计费, 可观测性, 帮助, 常见问题, 接入指南, 配置. Trigger on phrases like \"how to use ZenMux\", \"ZenMux docs\", \"ZenMux API\", \"ZenMux integration\", \"ZenMux 怎么用\", \"ZenMux 接入\", \"ZenMux 配置\". Even if the user doesn't say \"ZenMux\" explicitly but asks about LLM API aggregation, model routing, provider fallback in a context where ZenMux is the project being worked on, this skill should activate.","https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002Fzenmux-context\u002FSKILL.md",[149],{"categoryNo":150,"categoryName":151,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000016","图像与多媒体",[153,154,155,156,43,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171],"context","zenmux context","Video","chinese","project","web search","translate","search","open","question","pay","image","you","activate","architecture","logs","streaming","cherry studio","how",{"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":178,"publishedAt":45},"01M713QHWTBG634BCBV7NBJME1","workers-comp-guide","Guide workers compensation compliance and claims management.\nTRIGGERS - Use when user needs help with workers-comp-guide related tasks.","https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002Fworkers-comp-guide\u002FSKILL.md",[],[179,180,181,182,183,43,184,185,141,41,186,110,187,188,189,190,191,192,193],"workers","comp","workers comp","workers comp guide","guide","triggers","workers-comp","tasks","claims management","claims","compliance","help","compensation","management","user",{"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":209,"publishedAt":45},"01M713QF45VMV1685AFNF1GPMA","weekly-kpi-report","Generate McKinsey-style board presentation PPTs from weekly auto insurance data. Automatically calculates 16+ KPIs, creates executive-level slides with actionable insights, and supports week-over-week comparisons. Use when user uploads insurance cost data (Excel\u002FCSV) and requests board report, weekly presentation, executive briefing, or mentions keywords like 董事会汇报, 周报PPT, 经营分析演示, McKinsey-style reports.","https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002Fweekly-kpi-report\u002FSKILL.md",[200,203,206],{"categoryNo":201,"categoryName":202,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":204,"categoryName":205,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000004","电子表格",{"categoryNo":207,"categoryName":208,"taxonomyType":101,"taxonomyTypeDesc":102},"01JBSEEDCAT000000000000034","行政与办公人员",[210,211,212,213,214,43,215,216,217,218,41,219,220,221,222,33,223,224,141,225],"weekly","weekly kpi report","kpi","report","xlsx","actionable","insights","briefing","auto","board report","reports","generate","演示","presentation","slides","uploads",{"skillNo":227,"name":228,"nameZh":6,"description":229,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":230,"categories":231,"keywords":235,"publishedAt":45},"01M713QA9WJDHMNVTTY1ENRKVB","wealth-advisory","Wealth management and financial planning for HNW and UHNW clients. Activate when the user\nmentions wealth management, financial planning, retirement, estate planning, tax planning,\nGRAT, IDGT, trust, asset allocation, withdrawal rate, Monte Carlo simulation, goals-based\ninvesting, tax-loss harvesting, Roth conversion, insurance, annuity, mortgage strategy,\nconcentrated stock, family office, direct indexing, 529 plan, charitable giving, donor-advised\nfund, private foundation, or asks about personal finance strategy, inheritance, long-term\nfinancial planning, or UHNW advisory.","https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002Fwealth-advisory\u002FSKILL.md",[232],{"categoryNo":233,"categoryName":234,"taxonomyType":101,"taxonomyTypeDesc":102},"01JBSEEDCAT000000000000040","财务",[236,237,43,238,239,41,166,240,241,242,243,244,245,246,247,248,249,250,251,252],"wealth advisory","advisory","stock","inheritance","conversion","indexing","plan","simulation","personal finance","rate","allocation","asset","direct","personal","investing","trust","planning"]