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03:02:05",{"accountNo":76,"login":77,"displayName":78,"avatarUrl":79,"accountType":57,"accountTypeDesc":58,"profileDescription":13,"skillCount":80,"repoCount":81,"professionCount":63,"scenarioCount":82,"totalStars":83,"updatedAt":84},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,342695,"2026-11-13 04:03:41",{"accountNo":86,"login":87,"displayName":88,"avatarUrl":89,"accountType":57,"accountTypeDesc":58,"profileDescription":13,"skillCount":90,"repoCount":91,"professionCount":92,"scenarioCount":63,"totalStars":93,"updatedAt":94},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",420,75,8,298176,"2026-11-13 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Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). 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Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fshap\u002FSKILL.md",[313],{"categoryNo":314,"categoryName":315,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000023","Skill与智能体开发",[309,317,318,319,320,321,322,323,324,325,326,327,224,328,329,330,331,332,333,334,335,336,337,236],"tensorflow","machine learning","deep learning","pytorch","lightgbm","debugging","linear","heatmap","analyzing","learning","model","models","deep","bias","black","random forest","predictions","Interpretability","random","tree","implementing",{"skillNo":339,"name":340,"nameZh":13,"description":341,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":252,"licenseFileUrl":13,"sourceHtmlUrl":342,"categories":343,"keywords":348,"publishedAt":237},"01M6AFP1C5GG00TWYTM8NGDSNE","scvi-tools","This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. 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Build hierarchical models, MCMC (NUTS), variational inference, LOO\u002FWAIC comparison, posterior checks, for probabilistic programming and inference.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fpymc\u002FSKILL.md",[374],{"categoryNo":314,"categoryName":315,"taxonomyType":6,"taxonomyTypeDesc":7},[370,376,377,328,270,358,378,273,366,379,380,381,382],"inference","programming","comparison","Bayesian","MCMC","Probabilistic Programming","Posterior",{"skillNo":384,"name":385,"nameZh":13,"description":386,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":252,"licenseFileUrl":13,"sourceHtmlUrl":387,"categories":388,"keywords":392,"publishedAt":237},"01M6AFENQ538F97855QXSBHDEP","gget","CLI\u002FPython toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl\u002FUniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST\u002Fbatch processing, use biopython. 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Tree manipulation (Newick\u002FNHX), evolutionary event detection, orthology\u002Fparalogy, NCBI taxonomy, visualization (PDF\u002FSVG), for phylogenomics.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fetetoolkit\u002FSKILL.md",[414,417],{"categoryNo":415,"categoryName":416,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":345,"categoryName":346,"taxonomyType":6,"taxonomyTypeDesc":7},[410,419,395,289,420,421,422,423,336,366,424,425],"PDF","detection","taxonomy","SVG","event","evolutionary","NCBI",{"skillNo":427,"name":428,"nameZh":13,"description":429,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":252,"licenseFileUrl":13,"sourceHtmlUrl":430,"categories":431,"keywords":435,"publishedAt":237},"01M6AFDK4Y12YJCPBX1GD1YGZA","esm","Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fesm\u002FSKILL.md",[432,433,434],{"categoryNo":390,"categoryName":391,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":314,"categoryName":315,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":152,"categoryName":155,"taxonomyType":153,"taxonomyTypeDesc":154},[428,222,436,376,353,395,437,355,438,439,440,441,327,442,443,444,445,446,447,448,449,450,236,451,452],"model usage","embeddings","cloud","engineering","forge","api","structure","across","local","proteins","protein engineering","Scalable","inverse","sequence","generative","sequences","prediction",{"skillNo":454,"name":455,"nameZh":13,"description":456,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":252,"licenseFileUrl":457,"sourceHtmlUrl":458,"categories":459,"keywords":460,"publishedAt":237},"01M6AEXW9BDPGWJWJ7KG8C805C","workspace-orchestration","Use when working in a persistent-slot workspace that uses docko. Covers slot claims, delegated teammate inheritance, and the rule that code edits inside slots\u002F require an active claim.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fworkspace-orchestration\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fworkspace-orchestration\u002FSKILL.md",[],[461,462,463,290,224,464,465,466,467,468,469,236],"orchestration","workspace orchestration","workspace","claim","active","inheritance","rule","claims","slots",{"skillNo":471,"name":472,"nameZh":13,"description":473,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":474,"sourceHtmlUrl":475,"categories":476,"keywords":481,"publishedAt":237},"01M6AEPGJF94SNV4GP0RWY1A6D","netlify-deploy","Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site\u002Frepo on Netlify, including preview and production deploys.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fnetlify-deploy\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fnetlify-deploy\u002FSKILL.md",[477,480],{"categoryNo":478,"categoryName":479,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":314,"categoryName":315,"taxonomyType":6,"taxonomyTypeDesc":7},[482,483,484,393,485,77,486,267,487,488,489,490,224,491,492,493,494,495,236],"deploy","netlify deploy","netlify","web","publish","projects","site","repo","user","npx","preview","host","link","netlify cli",{"skillNo":497,"name":498,"nameZh":13,"description":499,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":500,"sourceHtmlUrl":501,"categories":502,"keywords":507,"publishedAt":237},"01M6AE65D0A6JGM0T7WWNHTG12","develop-web-game","Use when Codex is building or iterating on a web game (HTML\u002FJS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots\u002Ftext, and review console errors with render_game_to_text.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fcreative-design\u002Fdevelop-web-game\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fcreative-design\u002Fdevelop-web-game\u002FSKILL.md",[503,506],{"categoryNo":504,"categoryName":505,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":314,"categoryName":315,"taxonomyType":6,"taxonomyTypeDesc":7},[485,508,509,510,511,512,513,514,515,516,517,518,519,520,521,77,522,523,524,525,526,527,528,529,236],"develop web game","game","develop","web game","testing","screenshots","review","codex","implement","playwright","test","development","run","console","loop","text","short","html","input","render","errors","inspect",{"skillNo":531,"name":532,"nameZh":13,"description":533,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":252,"licenseFileUrl":534,"sourceHtmlUrl":535,"categories":536,"keywords":548,"publishedAt":237},"01M6ADRQC2SM9G2VRBRHT4JBMT","loki-mode","Multi-agent autonomous startup system for Claude Code. Triggers on \"Loki Mode\". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data\u002FML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A\u002FB testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Floki-mode\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Floki-mode\u002FSKILL.md",[537,540,541,542,545],{"categoryNo":538,"categoryName":539,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":504,"categoryName":505,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":314,"categoryName":315,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":543,"categoryName":544,"taxonomyType":153,"taxonomyTypeDesc":154},"01JBSEEDCAT000000000000031","产品经理",{"categoryNo":546,"categoryName":547,"taxonomyType":153,"taxonomyTypeDesc":154},"01JBSEEDCAT000000000000038","人力资源",[549,550,551,552,512,514,285,553,554,555,556,557,558,290,559,560,561,562,563,438,564,565,357,566,567,568,569,570,571,572,573,574,575,576,577,578],"loki mode","loki","mode","code review","incident response","triage","customer","distributed","ml","deployment","permissions","state","issue triage","qa","product","ZeRO","startup","subagent","multi-agent","specialized","auto","issue","human","customer feedback","revenue","circuit","rate","automatic","letter","limits",{"skillNo":580,"name":581,"nameZh":13,"description":582,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":252,"licenseFileUrl":13,"sourceHtmlUrl":583,"categories":584,"keywords":586,"publishedAt":237},"01M6AG3VNGCWMV2VPCX1MJYSWG","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.  This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fzapier-make-patterns\u002FSKILL.md",[585],{"categoryNo":314,"categoryName":315,"taxonomyType":6,"taxonomyTypeDesc":7},[587,588,589,590,591,592,593,290,87,594,595,596,597,598,599,600,601,602,603,236,604],"zapier make patterns","patterns","make","zapier","writing","workflow","automation","how","simplicity","power","complexity","but","apps","how to","pitfalls","which","spawner","solutions",{"skillNo":606,"name":607,"nameZh":13,"description":608,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":609,"sourceHtmlUrl":610,"categories":611,"keywords":612,"publishedAt":237},"01M6AG3SMVRGQMG3GH9QKC60ZC","yeet","Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fyeet\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fyeet\u002FSKILL.md",[],[607,393,107,613,614,77,615,616,617,618,619,490,224,301,620,621,622,236],"commit","pull request","pull","push","flow","open","gh","stage","github cli","request",{"skillNo":624,"name":625,"nameZh":13,"description":626,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":252,"licenseFileUrl":13,"sourceHtmlUrl":627,"categories":628,"keywords":630,"publishedAt":237},"01M6AG3Q4YF332NPT8Y5YPD8DB","workflow-automation","Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.  This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.  Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fworkflow-automation\u002FSKILL.md",[629],{"categoryNo":314,"categoryName":315,"taxonomyType":6,"taxonomyTypeDesc":7},[592,593,631,632,264,633,634,87,635,617,267,636,637,638,639,640,641,642,643,644,645,273,366,603],"Workflow Automation","ai agents","workflows","infrastructure","network","execution","inngest","parallel","orchestrator","resume","n8n","payment","worker","scripts","temporal",{"skillNo":647,"name":648,"nameZh":13,"description":649,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":252,"licenseFileUrl":13,"sourceHtmlUrl":650,"categories":651,"keywords":653,"publishedAt":237},"01M6AG3MCWYEKJ3E84C3CS6FPH","trigger-dev","Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Ftrigger-dev\u002FSKILL.md",[652],{"categoryNo":152,"categoryName":155,"taxonomyType":153,"taxonomyTypeDesc":154},[654,655,656,222,657,633,658,87,659,636,660,224,661,662,663,664,273,366,603,236,665],"dev","trigger dev","trigger","typescript","async execution","developer","first","async","expert","task","long","running",144,18]