[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6XF5DMPMS9ADE08EY0YPEVN":3,"skill-same:01M6XF5DMPMS9ADE08EY0YPEVN":69},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":53,"updatedAt":54,"install":55,"resources":68},"01M6XF5DMPMS9ADE08EY0YPEVN","analyze-latest-policy-sweep",null,"Analyze latest policy analysis sweep runs (*_policy_analysis_*) by comparing episodes\u002Fsummary metrics, diagnostics, and video artifacts; generate a concise markdown report and optional frame snapshots.","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\u002Fanalyze-latest-policy-sweep\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"analyze","analyze latest policy sweep","latest","sweep","policy","metrics","analysis","Video","markdown","artifacts","report","snapshots","summary","policy analysis","concise","generate","frame","diagnostics","2026-11-10 10:12:30",false,"---\nname: analyze-latest-policy-sweep\ndescription: Analyze latest policy analysis sweep runs (*_policy_analysis_*) by comparing episodes\u002Fsummary metrics, diagnostics, and video artifacts; generate a concise markdown report and optional frame snapshots.\n---\n\n# Analyze Latest Policy Sweep\n\nUse this skill when asked to compare recent `*_policy_analysis_*` benchmark runs (fast_pysf_planner, PPO, ORCA, etc.) and produce a summary report with diagnostics and video links.\n\n## Quick start\n1) Confirm run directories exist and contain `episodes.jsonl` + `summary.json`.\n2) Load metrics from `episodes.jsonl` and aggregates from `summary.json`.\n3) Produce a report in `specs\u002F409-planner-comparison\u002F`.\n\n## Required report contents\n- Aggregate metrics table (success rate, collision rate, time_to_goal_norm, avg_speed, near_misses, comfort_exposure, energy, jerk\u002Fcurvature raw + filtered if present).\n- Worst collision scenarios (top 5) per run.\n- Lowest success scenarios (bottom 5) per run.\n- Top problem episodes (score = collisions*10 + comfort*2 + failure) with video paths.\n- Diagnostics: path_efficiency saturation, `shortest_path_len` presence, low-speed filter behavior (ε=0.1).\n\n## Optional\n- Extract frames (25\u002F50\u002F75% of duration) for top problem episodes using ffmpeg into `output\u002Fanalysis\u002F\u003Creport_id>\u002Fframes\u002F` and list PNG paths in the report.\n\n## Template\nUse `specs\u002F409-planner-comparison\u002Fanalyze_latest_policy_sweep_prompt.md` as a template if you need a consistent structure.\n\n## Video naming convention\n`output\u002Frecordings\u002F\u003Crun_dir>\u002F\u003Cscenario>_seed\u003Cseed>_\u003Cpolicy>.mp4`\n\n## Diagnostics details\n- **Path-efficiency saturation**: fraction with `path_efficiency >= 0.999` (clipped at 1.0).\n- **Shortest path presence**: ensure `shortest_path_len` is present in metrics when available.\n- **Low-speed filter**: report `low_speed_frac` and filtered metrics (`jerk_mean_eps0p1`, `curvature_mean_eps0p1` when present). Reason: curvature divides by |v|^3; near-zero speed inflates noise.\n","# Analyze Latest Policy Sweep\n\nUse this skill when asked to compare recent `*_policy_analysis_*` benchmark runs (fast_pysf_planner, PPO, ORCA, etc.) and produce a summary report with diagnostics and video links.\n\n## Quick start\n1) Confirm run directories exist and contain `episodes.jsonl` + `summary.json`.\n2) Load metrics from `episodes.jsonl` and aggregates from `summary.json`.\n3) Produce a report in `specs\u002F409-planner-comparison\u002F`.\n\n## Required report contents\n- Aggregate metrics table (success rate, collision rate, time_to_goal_norm, avg_speed, near_misses, comfort_exposure, energy, jerk\u002Fcurvature raw + filtered if present).\n- Worst collision scenarios (top 5) per run.\n- Lowest success scenarios (bottom 5) per run.\n- Top problem episodes (score = collisions*10 + comfort*2 + failure) with video paths.\n- Diagnostics: path_efficiency saturation, `shortest_path_len` presence, low-speed filter behavior (ε=0.1).\n\n## Optional\n- Extract frames (25\u002F50\u002F75% of duration) for top problem episodes using ffmpeg into `output\u002Fanalysis\u002F\u003Creport_id>\u002Fframes\u002F` and list PNG paths in the report.\n\n## Template\nUse `specs\u002F409-planner-comparison\u002Fanalyze_latest_policy_sweep_prompt.md` as a template if you need a consistent structure.\n\n## Video naming convention\n`output\u002Frecordings\u002F\u003Crun_dir>\u002F\u003Cscenario>_seed\u003Cseed>_\u003Cpolicy>.mp4`\n\n## Diagnostics details\n- **Path-efficiency saturation**: fraction with `path_efficiency >= 0.999` (clipped at 1.0).\n- **Shortest path presence**: ensure `shortest_path_len` is present in metrics when available.\n- **Low-speed filter**: report `low_speed_frac` and filtered metrics (`jerk_mean_eps0p1`, `curvature_mean_eps0p1` when present). Reason: curvature divides by |v|^3; near-zero speed inflates noise.\n",{"name":5,"description":7},"main","b22eca2e974f918ce591c5b2bd829fb7510e0191","Skills\u002Fanalyze-latest-policy-sweep",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":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add FDU-INS\u002FInsurance-Skills --skill analyze-latest-policy-sweep",{"tool":61,"command":62},"bunx","bunx skills add FDU-INS\u002FInsurance-Skills --skill analyze-latest-policy-sweep",{"tool":64,"command":65},"pnpm","pnpm dlx skills add FDU-INS\u002FInsurance-Skills --skill analyze-latest-policy-sweep","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FFDU-INS\u002FInsurance-Skills\u002Fblob\u002Fmain\u002FSkills\u002Fanalyze-latest-policy-sweep\u002FSKILL.md",true,[],[70,101,126,152,174,205],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":81,"publishedAt":42},"01M713QW6EGEG0YAD75440GSD0","로인장 (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",[76],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[72,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100],"insurance law","insurance","civil","contract","family","when","review","loyalty","with","top","contract review","ceo","support","advice","consultation","regulatory","privacy","protection","startup",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":42},"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",[],[108,109,110,111,83,112,113,87,114,115,116,117,118,119,120,121,122,123,124,125],"zocdoc doctor finder","doctor","healthcare","reviews","browser automation","access","browsing","browser","booking","network","therapist","computer","availability","for","provider","tool","use","automation",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":133,"publishedAt":42},"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",[132],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[134,135,31,136,83,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151],"context","zenmux context","chinese","project","web search","translate","search","open","question","pay","image","you","activate","architecture","logs","streaming","cherry studio","how",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":158,"publishedAt":42},"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",[],[159,160,161,162,163,83,164,165,124,87,166,90,167,168,169,170,171,172,173],"workers","comp","workers comp","workers comp guide","guide","triggers","workers-comp","tasks","claims management","claims","compliance","help","compensation","management","user",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":189,"publishedAt":42},"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",[180,183,186],{"categoryNo":181,"categoryName":182,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":184,"categoryName":185,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000004","电子表格",{"categoryNo":187,"categoryName":188,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000034","行政与办公人员",[190,191,192,34,193,83,194,195,196,197,87,198,199,39,200,201,202,203,124,204],"weekly","weekly kpi report","kpi","xlsx","actionable","insights","briefing","auto","board report","reports","演示","data","presentation","slides","uploads",{"skillNo":206,"name":207,"nameZh":6,"description":208,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":209,"categories":210,"keywords":214,"publishedAt":42},"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",[211],{"categoryNo":212,"categoryName":213,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000040","财务",[215,216,83,217,218,87,146,219,220,221,222,223,224,225,226,227,228,229,230,231],"wealth advisory","advisory","stock","inheritance","conversion","indexing","plan","simulation","personal finance","rate","allocation","asset","direct","personal","investing","trust","planning"]