[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"creator:01M71FQD3E132VMR5F4TAYX3YS":3,"creator-list:01M71FQD3E132VMR5F4TAYX3YS:stars:1:":20},{"accountNo":4,"login":5,"displayName":5,"avatarUrl":6,"accountType":7,"accountTypeDesc":8,"profileDescription":9,"skillCount":10,"repoCount":11,"professionCount":12,"scenarioCount":13,"totalStars":14,"updatedAt":15,"htmlUrl":16,"blogUrl":9,"company":17,"location":18,"followersCount":13,"publicReposCount":19},"01M71FQD3E132VMR5F4TAYX3YS","JSGforever","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F85541948?v=4","USER","个人作者",null,716,1,10,7,2,"2026-08-29 18:27:56","https:\u002F\u002Fgithub.com\u002FJSGforever","Secsys@FDU","Shanghai",18,{"records":21,"total":10,"current":11,"size":19},[22,58,74,101,123,144,173,197,225,260,281,310,338,355,374,394,414,435],{"skillNo":23,"name":24,"nameZh":9,"description":25,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":29,"categories":30,"keywords":36,"publishedAt":57},"01M71HY2SNXBA9Q00WZDTZQ31Z","skillguard-codex-scanner","Hybrid deterministic+LLM agent-skill security scanner. Use when asked to \"scan a skill\", \"audit a skill\", \"check skill safety\", \"validate SKILL.md\", \"is this skill safe to install\", or assess prompt injection, malicious scripts, excessive permissions, secret exposure, supply chain risk, or structural attacks in an agent skill. Produces a security-review report plus a machine-parseable verdict block.","JSGforever\u002Fskillguard","01M71FQD4DYW0XJ4XQ4YQH75Y9","GPL-3.0","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fsrc\u002Fskillguard\u002Fstatic_scanner\u002Fskillguard-codex-scanner\u002FSKILL.md",[31],{"categoryNo":32,"categoryName":33,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56],"scanner","skillguard codex scanner","skillguard","codex","chain","skill security","security-review","review report","structural","secret","prompt injection","security scanner","when","review","malicious","permissions","exposure","audit","scripts","safe","2026-11-10 10:12:30",{"skillNo":59,"name":60,"nameZh":9,"description":61,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":62,"licenseFileUrl":9,"sourceHtmlUrl":63,"categories":64,"keywords":70,"publishedAt":57},"01M71HY0SPKTT3S27BC2HPAC5M","data-exfiltrator","Analyzes data files","MIT","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Fsmoke-one-skill\u002Fasset1__cisco-ai-defense--data-exfiltrator\u002FSKILL.md",[65],{"categoryNo":66,"categoryName":67,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[71,72,73],"data","data exfiltrator","files",{"skillNo":75,"name":76,"nameZh":9,"description":77,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":57},"01M71HXVS9EMN44BGDW215FZ72","real-time-collaboration-engine","Build real-time collaborative editing with WebSockets, OT\u002FCRDT conflict resolution, and presence awareness. Implements cursor tracking, optimistic updates, and offline sync. Use for collaborative editors, whiteboards, video editing. Activate on \"real-time collaboration\", \"WebSocket sync\", \"multiplayer editing\", \"CRDT\", \"presence awareness\". NOT for simple chat, request-response APIs, or single-user apps.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--real-time-collaboration-engine\u002FSKILL.md",[],[81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100],"time","real time collaboration engine","real time collaboration","collaboration","engine","real time","Video","reliability","video editing","performance","conflict resolution","presence","access","apps","updates","Bash","activate","optimizer","react","streaming",{"skillNo":102,"name":103,"nameZh":9,"description":104,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":105,"categories":106,"keywords":110,"publishedAt":57},"01M71HXP6CTY4KFN0QVMMN0V7J","react-performance-optimizer","Optimize React apps for 60fps performance. Implements memoization, virtualization, code splitting, bundle optimization. Use for slow renders, large lists, bundle bloat. Activate on \"React performance\", \"slow render\", \"useMemo\", \"bundle size\", \"virtualization\". NOT for backend optimization, non-React frameworks, or premature optimization.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--react-performance-optimizer\u002FSKILL.md",[107],{"categoryNo":108,"categoryName":109,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000009","前端开发",[90,111,98,99,112,113,114,115,116,117,81,118,119,94,96,120,97,100,121,122],"react performance optimizer","react performance","performance optimizer","app","nextjs","expert","re","render","2025","code","router","strategies",{"skillNo":124,"name":125,"nameZh":9,"description":126,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":127,"categories":128,"keywords":130,"publishedAt":57},"01M71HXH7QXSQB4QTDZ7SP7YXQ","llm-streaming-response-handler","Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI\u002FAnthropic\u002FClaude streaming APIs. Use for chatbots, AI assistants, real-time text generation. Activate on \"LLM streaming\", \"SSE\", \"token stream\", \"chat UI\", \"real-time AI\". NOT for batch processing, non-streaming APIs, or WebSocket bidirectional chat.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--llm-streaming-response-handler\u002FSKILL.md",[129],{"categoryNo":108,"categoryName":109,"taxonomyType":34,"taxonomyTypeDesc":35},[131,100,132,133,134,135,90,81,136,137,138,96,97,98,139,99,140,141,142,143],"llm streaming response handler","handler","error","processing","retry","chat ui","error recovery","critical","batch","display","text","server","read",{"skillNo":145,"name":146,"nameZh":9,"description":147,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":148,"categories":149,"keywords":157,"publishedAt":57},"01M71HXCB0E1YRKYW1Y8T0Y106","github-actions-pipeline-builder","Build production CI\u002FCD pipelines with GitHub Actions. Implements matrix builds, caching, deployments, testing, security scanning. Use for automated testing, deployments, release workflows. Activate on \"GitHub Actions\", \"CI\u002FCD\", \"workflow\", \"deployment pipeline\", \"automated testing\". NOT for Jenkins\u002FCircleCI, manual deployments, or non-GitHub repositories.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--github-actions-pipeline-builder\u002FSKILL.md",[150,153,156],{"categoryNo":151,"categoryName":152,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":154,"categoryName":155,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":32,"categoryName":33,"taxonomyType":34,"taxonomyTypeDesc":35},[158,159,160,161,162,163,164,88,116,165,166,167,97,122,168,143,169,170,171,172],"github actions pipeline builder","actions","github actions","pipeline builder","github","builder","pipeline","testing","ci","workflows","run","release","write","edit","git",{"skillNo":174,"name":175,"nameZh":9,"description":176,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":177,"categories":178,"keywords":183,"publishedAt":57},"01M71HX6WRYD7MVR67PZVDK0GC","geospatial-data-pipeline","Process, analyze, and visualize geospatial data at scale. Handles drone imagery, GPS tracks, GeoJSON optimization, coordinate transformations, and tile generation. Use for mapping apps, drone data processing, location-based services. Activate on \"geospatial\", \"GIS\", \"PostGIS\", \"GeoJSON\", \"map tiles\", \"coordinate systems\". NOT for simple address validation, basic distance calculations, or static map embeds.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--geospatial-data-pipeline\u002FSKILL.md",[179,182],{"categoryNo":180,"categoryName":181,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":66,"categoryName":67,"taxonomyType":68,"taxonomyTypeDesc":69},[184,164,185,71,186,187,188,134,189,190,191,118,192,193,194,94,96,195,196,97],"geospatial data pipeline","data pipeline","geospatial","coordinate","visualization","postgres","static","flows","engineer","map","inspection","drone","analysis",{"skillNo":198,"name":199,"nameZh":9,"description":200,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":201,"categories":202,"keywords":210,"publishedAt":57},"01M71HX1RYQA09RSV9KA4BJ9EH","form-validation-architect","End-to-end form handling with react-hook-form, Zod schemas, validation patterns, error messaging, field arrays, and multi-step wizards. Use for complex forms, validation architecture, autosave, field dependencies. Activate on \"form validation\", \"react-hook-form\", \"Zod\", \"form error\", \"multi-step form\", \"wizard\". NOT for simple HTML forms, backend validation only, or non-React frameworks.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--form-validation-architect\u002FSKILL.md",[203,204,207],{"categoryNo":108,"categoryName":109,"taxonomyType":34,"taxonomyTypeDesc":35},{"categoryNo":205,"categoryName":206,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":208,"categoryName":209,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000032","设计师",[211,212,213,214,215,216,217,218,165,219,220,221,222,97,223,224,99,143,170,171],"form validation architect","form","validation","form validation","architect","leverage","messaging","zod","arrays","wizard","design","usability","architecture","react-hook-form",{"skillNo":226,"name":227,"nameZh":9,"description":228,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":229,"categories":230,"keywords":244,"publishedAt":57},"01M71HWVQ1BMYVYEDFYA581P1T","document-generation-pdf","Generate, fill, and assemble PDF documents at scale. Handles legal forms, contracts, invoices, certificates. Supports form filling (pdf-lib), template rendering (Puppeteer, LaTeX), digital signatures (DocuSign), and document assembly. Use for legal tech, HR automation, invoice generation. Activate on \"PDF generation\", \"form filling\", \"document automation\", \"digital signatures\". NOT for simple PDF viewing, basic file conversion, or OCR text extraction.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--document-generation-pdf\u002FSKILL.md",[231,234,235,238,241],{"categoryNo":232,"categoryName":233,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":32,"categoryName":33,"taxonomyType":34,"taxonomyTypeDesc":35},{"categoryNo":236,"categoryName":237,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000036","内容创作者",{"categoryNo":239,"categoryName":240,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000037","律师与法务",{"categoryNo":242,"categoryName":243,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000038","人力资源",[245,246,247,248,249,250,116,251,252,253,254,97,141,255,256,257,258,259,143,170],"PDF","document generation","document","generation","document generation pdf","writer","court","signatures","writing","documents","form-filling","generate","lib","2026","at",{"skillNo":261,"name":262,"nameZh":9,"description":263,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":264,"categories":265,"keywords":271,"publishedAt":57},"01M71HWQJ3TD7DSRXQ7ED84QDR","devops-automator","Expert DevOps engineer for CI\u002FCD, IaC, Kubernetes, and deployment automation. Activate on: CI\u002FCD, GitHub Actions, Terraform, Docker, Kubernetes, Helm, ArgoCD, GitOps, deployment pipeline, infrastructure as code, container orchestration. NOT for: application code (use language skills), database schema (use data-pipeline-engineer), API design (use api-architect).","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--devops-automator\u002FSKILL.md",[266,267,268],{"categoryNo":205,"categoryName":206,"taxonomyType":34,"taxonomyTypeDesc":35},{"categoryNo":154,"categoryName":155,"taxonomyType":34,"taxonomyTypeDesc":35},{"categoryNo":269,"categoryName":270,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000030","开发工程师",[272,273,88,116,159,192,166,160,221,274,97,143,275,170,171,276,277,278,279,280],"devops","devops automator","database schema","secure","kubectl","security","infrastructure","ci-cd","as",{"skillNo":282,"name":283,"nameZh":9,"description":284,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":285,"categories":286,"keywords":291,"publishedAt":57},"01M71HWKPPVZCEE4C7W2RJDJVV","design-system-generator","Design system generator that matches natural language descriptions to design trends. Expert in Swiss Modern, Neobrutalism, Glassmorphism, and 20+ other design trends. Includes trend matching scripts and comprehensive design pattern library.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--design-system-generator\u002FSKILL.md",[287,290],{"categoryNo":288,"categoryName":289,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":208,"categoryName":209,"taxonomyType":68,"taxonomyTypeDesc":69},[292,221,293,294,295,296,297,116,298,299,300,301,302,303,304,305,306,307,308,309],"system","generator","design system","design system generator","natural language","for","glassmorphism","scaffolding","tokens","component library","themes","generated","design systems","decisions","team","swiss","type","adoption",{"skillNo":311,"name":312,"nameZh":9,"description":313,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":314,"categories":315,"keywords":321,"publishedAt":57},"01M71HWFZKFN9TGJJ6MP3Z1BMY","design-archivist","Long-running design anthropologist that builds comprehensive visual databases from 500-1000 real-world examples, extracting color palettes, typography patterns, layout systems, and interaction design across any domain (portfolios, e-commerce, SaaS, adult content, technical showcases). This skill should be used when users need exhaustive design research, pattern recognition across large example sets, or systematic visual analysis for competitive positioning.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--design-archivist\u002FSKILL.md",[316,317,320],{"categoryNo":288,"categoryName":289,"taxonomyType":34,"taxonomyTypeDesc":35},{"categoryNo":318,"categoryName":319,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":208,"categoryName":209,"taxonomyType":68,"taxonomyTypeDesc":69},[221,322,323,324,325,116,326,327,328,329,49,196,330,331,332,333,334,335,336,337],"Archivist","design archivist","databases","extracting","competitive positioning","anthropologist","positioning","database","websearch","commerce","interaction design","across","world","interaction","web-design","layout",{"skillNo":339,"name":340,"nameZh":9,"description":341,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":342,"categories":343,"keywords":346,"publishedAt":57},"01M71HWBSKSEB1K0RSGQJ6JWZF","data-pipeline-engineer","Expert data engineer for ETL\u002FELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming data, batch processing, data quality. NOT for: API design (use api-architect), ML training (use ML skills), dashboards (use design skills).","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--data-pipeline-engineer\u002FSKILL.md",[344,345],{"categoryNo":205,"categoryName":206,"taxonomyType":34,"taxonomyTypeDesc":35},{"categoryNo":66,"categoryName":67,"taxonomyType":68,"taxonomyTypeDesc":69},[164,192,185,71,347,348,349,134,350,116,351,221,96,97,352,139,100,353,354,143],"data pipeline engineer","data engineer","orchestrate","submit","training","api","airflow","elt",{"skillNo":356,"name":357,"nameZh":9,"description":358,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":359,"categories":360,"keywords":361,"publishedAt":57},"01M71HW6YR2S41075HQBQWBC16","crisis-detection-intervention-ai","Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols. Implements suicide ideation detection, automated escalation, and crisis resource integration. Use for mental health apps, recovery platforms, support communities. Activate on \"crisis detection\", \"suicide prevention\", \"mental health NLP\", \"intervention protocol\". NOT for general sentiment analysis, medical diagnosis, or replacing professional help.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--crisis-detection-intervention-ai\u002FSKILL.md",[],[362,363,364,365,366,367,368,94,96,196,97,369,370,371,372,143,170,56,171,373],"crisis detection intervention ai","crisis","detection","communities","professional","medical","clinical","signals","support","diagnosis","mental health","patterns",{"skillNo":375,"name":376,"nameZh":9,"description":377,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":378,"categories":379,"keywords":380,"publishedAt":57},"01M71HW3K4P4BB7N8FQ8315M1D","competitive-cartographer","Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations. Use when users need competitive analysis, market positioning strategy, differentiation tactics, or \"how do I stand out?\" guidance across any domain (portfolios, products, services). NOT for market size estimation or financial forecasting.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--competitive-cartographer\u002FSKILL.md",[],[381,382,383,384,385,328,49,386,196,330,387,388,333,389,390,391,143,170,392,393],"cartographer","competitive","competitive cartographer","deep","estimation","market size estimation","differentiation","maps","how","recommendations","analyst","positioning strategy","do",{"skillNo":395,"name":396,"nameZh":9,"description":397,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":398,"categories":399,"keywords":401,"publishedAt":57},"01M71HVYR54JYE291D440D6FJD","career-biographer","AI-powered career biographer that conducts empathetic interviews, extracts structured career narratives, and transforms professional stories into portfolios, CVs, and personal brand assets. This skill should be used when users want to document their career journey, create professional portfolios, generate CVs, or craft compelling career narratives.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--career-biographer\u002FSKILL.md",[400],{"categoryNo":288,"categoryName":289,"taxonomyType":34,"taxonomyTypeDesc":35},[402,403,366,404,49,405,406,407,256,408,143,409,170,171,410,381,411,412,382,413],"career biographer","career","journey","create","narrative","portfolio","transforms","craft","interviews","personal brand","personal","brand",{"skillNo":415,"name":416,"nameZh":9,"description":417,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":418,"categories":419,"keywords":423,"publishedAt":57},"01M71HVRQV43SA6NXYKKV0RJHY","background-job-orchestrator","Expert in background job processing with Bull\u002FBullMQ (Redis), Celery, and cloud queues. Implements retries, scheduling, priority queues, and worker management. Use for async task processing, email campaigns, report generation, batch operations. Activate on \"background job\", \"async task\", \"queue\", \"worker\", \"BullMQ\", \"Celery\". NOT for real-time WebSocket communication, synchronous API calls, or simple setTimeout operations.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--background-job-orchestrator\u002FSKILL.md",[420],{"categoryNo":421,"categoryName":422,"taxonomyType":34,"taxonomyTypeDesc":35},"01JBSEEDCAT000000000000005","邮件与沟通",[424,425,426,427,428,88,116,81,192,429,430,431,97,432,139,143,170,171,433,434],"background job","background","orchestrator","background job orchestrator","sre","worker","retries","alerting","monitoring","queues","background jobs",{"skillNo":436,"name":437,"nameZh":9,"description":438,"descriptionZh":9,"repositoryFullName":26,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":27,"starsCount":14,"licenseSpdxId":28,"licenseFileUrl":9,"sourceHtmlUrl":439,"categories":440,"keywords":442,"publishedAt":57},"01M71HVM26QQV119KQ24DXDRT6","automatic-stateful-prompt-improver","Automatically intercepts and optimizes prompts using the prompt-learning MCP server. Learns from performance over time via embedding-indexed history. Uses APE, OPRO, DSPy patterns. Activate on \"optimize prompt\", \"improve this prompt\", \"prompt engineering\", or ANY complex task request. Requires prompt-learning MCP server. NOT for simple questions (just answer them), NOT for direct commands (just execute them), NOT for conversational responses (no optimization needed).","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--automatic-stateful-prompt-improver\u002FSKILL.md",[441],{"categoryNo":32,"categoryName":33,"taxonomyType":34,"taxonomyTypeDesc":35},[443,444,445,446,447,448,449,450,90,81,451,452,453,97,142,454,455,456,457,458],"stateful","prompt improver","automatic","prompt","automatic stateful prompt improver","dspy","embedding","get","improve","MCP","mcp server","track","optimize","request","commands","embeddings"]