[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-ngs-dna-somatic-variants":3,"mdc--zdubkk-key":36,"related-org-openai-ngs-dna-somatic-variants":468,"related-repo-openai-ngs-dna-somatic-variants":675},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"ngs-dna-somatic-variants","run somatic variant analysis workflows","Run or plan tumor-normal, tumor-only, WGS, WES, or cancer-panel somatic variant workflows with pairing, contamination, panel-of-normals, purity, QC, and annotation checks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Data Analysis","data-analysis","tag",{"name":17,"slug":18,"type":15},"Life Sciences","life-sciences",{"name":20,"slug":21,"type":15},"Bioinformatics","bioinformatics",{"name":23,"slug":24,"type":15},"Genomics","genomics",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102",null,465,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fngs-analysis\u002Fskills\u002Fngs-dna-somatic-variants","---\nname: ngs-dna-somatic-variants\ndescription: Run or plan tumor-normal, tumor-only, WGS, WES, or cancer-panel somatic variant workflows with pairing, contamination, panel-of-normals, purity, QC, and annotation checks.\n---\n\n# Somatic DNA Variants\n\nUse this skill for tumor-normal or tumor-only somatic SNV\u002Findel calling from FASTQ, BAM, or CRAM. If the request is inherited germline calling or family analysis, use `ngs-dna-germline-variants`.\n\n## Essential Inputs\n\nConfirm:\n\n- tumor-normal, tumor-only, relapse-baseline, or multi-tumor design\n- WGS, WES, or panel assay and target BED when applicable\n- input type and whether reads are already aligned\n- tumor\u002Fnormal pairing table and sample identifiers\n- reference build, known-sites, germline resource, and annotation cache\n- panel-of-normals availability and matched-normal availability\n- tumor purity, contamination expectations, and minimum allele fraction goals\n- desired outputs: raw calls, filtered calls, VEP\u002FSnpEff annotation, MAF, CNV\u002FSV handoff\n\n## Route\n\nPrefer `nf-core\u002Fsarek` for an end-to-end public workflow when its supported callers fit the request. Use direct GATK Mutect2 or bcftools\u002Fsamtools utilities for focused validation or prepared BAMs.\n\nPreflight command:\n\n```bash\npython plugins\u002Fngs-analysis\u002Fscripts\u002Fngs_preflight.py --pipeline dna_somatic_variants --emit-install-plan\n```\n\nFor compact local checks from prepared tumor\u002Fnormal BAM\u002FCRAM files, use the dedicated Mutect2 runner:\n\n```bash\npython plugins\u002Fngs-analysis\u002Fscripts\u002Frun_dna_somatic_variants.py \\\n  --sample-sheet somatic_pairs.tsv \\\n  --reference-fasta reference.fa \\\n  --germline-resource af-only-gnomad.vcf.gz \\\n  --panel-of-normals pon.vcf.gz \\\n  --execute\n```\n\nThis produces a tumor-normal\u002Ftumor-only pairing table, Mutect2 command plan, contamination\u002Ffiltering artifacts, somatic QC summary, `qc\u002Fsomatic_pair_review.{tsv,json}`, visualization index, and filtered VCF outputs when the local GATK resources are available. For nf-core execution, use `plugins\u002Fngs-analysis\u002Fscripts\u002Frun_nfcore_pipeline.py --pipeline sarek`.\n\nThe direct runner also emits `resources\u002Fresource_plan.json`, `resource_manifest.tsv`, `resource_env.sh`, and `resource_readiness.md`. The resource check is advisory by default so custom or reduced references can still be planned; add `--genome-build`, `--bundle-root \u003Cbundle>=\u003Cpath>`, and `--require-resource-plan` when missing registered reference bundles should block readiness.\n\n## Decision Points\n\n- Verify tumor-normal pair metadata before execution. A swapped or missing normal changes the biological meaning of the calls.\n- For tumor-only analysis, explicitly state the false-positive risk and require a germline resource plus careful filtering.\n- Use panel-of-normals when available and reference-matched; do not reuse a PON across incompatible capture kits or genome builds.\n- Track contamination, orientation bias, strand artifacts, mapping quality, coverage, tumor purity, and allele-fraction filters.\n- Keep germline filtering separate from somatic interpretation; avoid presenting tumor-only calls as confirmed somatic without supporting evidence.\n\n## Outputs\n\nProduce:\n\n- validated pairing\u002Fsample sheet\n- caller\u002Ffilter settings and reference\u002Fresource manifest\n- QC summary: tumor\u002Fnormal depth, contamination, duplication, insert size, on-target rate for panels\u002FWES\n- per-pair review table covering matched-normal state, PON\u002Fgermline-resource availability, contamination-table status, filtered VCF status, and parsed variant counts\n- VCF\u002FMAF\u002Fannotation paths and a filtered-vs-raw call count summary\n- caveats for tumor-only calls, low-purity tumors, low-depth regions, or missing matched normals\n\nClinical actionability and treatment recommendations are out of scope unless the user supplies a validated clinical interpretation workflow.\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,50,65,72,77,122,128,141,146,190,195,301,321,379,385,413,419,424,457,462],{"type":42,"tag":43,"props":44,"children":46},"element","h1",{"id":45},"somatic-dna-variants",[47],{"type":48,"value":49},"text","Somatic DNA Variants",{"type":42,"tag":51,"props":52,"children":53},"p",{},[54,56,63],{"type":48,"value":55},"Use this skill for tumor-normal or tumor-only somatic SNV\u002Findel calling from FASTQ, BAM, or CRAM. If the request is inherited germline calling or family analysis, use ",{"type":42,"tag":57,"props":58,"children":60},"code",{"className":59},[],[61],{"type":48,"value":62},"ngs-dna-germline-variants",{"type":48,"value":64},".",{"type":42,"tag":66,"props":67,"children":69},"h2",{"id":68},"essential-inputs",[70],{"type":48,"value":71},"Essential Inputs",{"type":42,"tag":51,"props":73,"children":74},{},[75],{"type":48,"value":76},"Confirm:",{"type":42,"tag":78,"props":79,"children":80},"ul",{},[81,87,92,97,102,107,112,117],{"type":42,"tag":82,"props":83,"children":84},"li",{},[85],{"type":48,"value":86},"tumor-normal, tumor-only, relapse-baseline, or multi-tumor design",{"type":42,"tag":82,"props":88,"children":89},{},[90],{"type":48,"value":91},"WGS, WES, or panel assay and target BED when applicable",{"type":42,"tag":82,"props":93,"children":94},{},[95],{"type":48,"value":96},"input type and whether reads are already aligned",{"type":42,"tag":82,"props":98,"children":99},{},[100],{"type":48,"value":101},"tumor\u002Fnormal pairing table and sample identifiers",{"type":42,"tag":82,"props":103,"children":104},{},[105],{"type":48,"value":106},"reference build, known-sites, germline resource, and annotation cache",{"type":42,"tag":82,"props":108,"children":109},{},[110],{"type":48,"value":111},"panel-of-normals availability and matched-normal availability",{"type":42,"tag":82,"props":113,"children":114},{},[115],{"type":48,"value":116},"tumor purity, contamination expectations, and minimum allele fraction goals",{"type":42,"tag":82,"props":118,"children":119},{},[120],{"type":48,"value":121},"desired outputs: raw calls, filtered calls, VEP\u002FSnpEff annotation, MAF, CNV\u002FSV handoff",{"type":42,"tag":66,"props":123,"children":125},{"id":124},"route",[126],{"type":48,"value":127},"Route",{"type":42,"tag":51,"props":129,"children":130},{},[131,133,139],{"type":48,"value":132},"Prefer ",{"type":42,"tag":57,"props":134,"children":136},{"className":135},[],[137],{"type":48,"value":138},"nf-core\u002Fsarek",{"type":48,"value":140}," for an end-to-end public workflow when its supported callers fit the request. Use direct GATK Mutect2 or bcftools\u002Fsamtools utilities for focused validation or prepared BAMs.",{"type":42,"tag":51,"props":142,"children":143},{},[144],{"type":48,"value":145},"Preflight command:",{"type":42,"tag":147,"props":148,"children":153},"pre",{"className":149,"code":150,"language":151,"meta":152,"style":152},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","python plugins\u002Fngs-analysis\u002Fscripts\u002Fngs_preflight.py --pipeline dna_somatic_variants 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--emit-install-plan\n",{"type":42,"tag":51,"props":191,"children":192},{},[193],{"type":48,"value":194},"For compact local checks from prepared tumor\u002Fnormal BAM\u002FCRAM files, use the dedicated Mutect2 runner:",{"type":42,"tag":147,"props":196,"children":198},{"className":149,"code":197,"language":151,"meta":152,"style":152},"python plugins\u002Fngs-analysis\u002Fscripts\u002Frun_dna_somatic_variants.py \\\n  --sample-sheet somatic_pairs.tsv \\\n  --reference-fasta reference.fa \\\n  --germline-resource af-only-gnomad.vcf.gz \\\n  --panel-of-normals pon.vcf.gz \\\n  --execute\n",[199],{"type":42,"tag":57,"props":200,"children":201},{"__ignoreMap":152},[202,220,238,256,274,292],{"type":42,"tag":158,"props":203,"children":204},{"class":160,"line":161},[205,209,214],{"type":42,"tag":158,"props":206,"children":207},{"style":165},[208],{"type":48,"value":168},{"type":42,"tag":158,"props":210,"children":211},{"style":171},[212],{"type":48,"value":213}," plugins\u002Fngs-analysis\u002Fscripts\u002Frun_dna_somatic_variants.py",{"type":42,"tag":158,"props":215,"children":217},{"style":216},"--shiki-light:#90A4AE;--shiki-default:#EEFFFF;--shiki-dark:#BABED8",[218],{"type":48,"value":219}," \\\n",{"type":42,"tag":158,"props":221,"children":223},{"class":160,"line":222},2,[224,229,234],{"type":42,"tag":158,"props":225,"children":226},{"style":171},[227],{"type":48,"value":228},"  --sample-sheet",{"type":42,"tag":158,"props":230,"children":231},{"style":171},[232],{"type":48,"value":233}," somatic_pairs.tsv",{"type":42,"tag":158,"props":235,"children":236},{"style":216},[237],{"type":48,"value":219},{"type":42,"tag":158,"props":239,"children":241},{"class":160,"line":240},3,[242,247,252],{"type":42,"tag":158,"props":243,"children":244},{"style":171},[245],{"type":48,"value":246},"  --reference-fasta",{"type":42,"tag":158,"props":248,"children":249},{"style":171},[250],{"type":48,"value":251}," 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pon.vcf.gz",{"type":42,"tag":158,"props":289,"children":290},{"style":216},[291],{"type":48,"value":219},{"type":42,"tag":158,"props":293,"children":295},{"class":160,"line":294},6,[296],{"type":42,"tag":158,"props":297,"children":298},{"style":171},[299],{"type":48,"value":300},"  --execute\n",{"type":42,"tag":51,"props":302,"children":303},{},[304,306,312,314,320],{"type":48,"value":305},"This produces a tumor-normal\u002Ftumor-only pairing table, Mutect2 command plan, contamination\u002Ffiltering artifacts, somatic QC summary, ",{"type":42,"tag":57,"props":307,"children":309},{"className":308},[],[310],{"type":48,"value":311},"qc\u002Fsomatic_pair_review.{tsv,json}",{"type":48,"value":313},", visualization index, and filtered VCF outputs when the local GATK resources are available. For nf-core execution, use ",{"type":42,"tag":57,"props":315,"children":317},{"className":316},[],[318],{"type":48,"value":319},"plugins\u002Fngs-analysis\u002Fscripts\u002Frun_nfcore_pipeline.py --pipeline sarek",{"type":48,"value":64},{"type":42,"tag":51,"props":322,"children":323},{},[324,326,332,334,340,341,347,349,355,357,363,364,370,371,377],{"type":48,"value":325},"The direct runner also emits ",{"type":42,"tag":57,"props":327,"children":329},{"className":328},[],[330],{"type":48,"value":331},"resources\u002Fresource_plan.json",{"type":48,"value":333},", ",{"type":42,"tag":57,"props":335,"children":337},{"className":336},[],[338],{"type":48,"value":339},"resource_manifest.tsv",{"type":48,"value":333},{"type":42,"tag":57,"props":342,"children":344},{"className":343},[],[345],{"type":48,"value":346},"resource_env.sh",{"type":48,"value":348},", and ",{"type":42,"tag":57,"props":350,"children":352},{"className":351},[],[353],{"type":48,"value":354},"resource_readiness.md",{"type":48,"value":356},". The resource check is advisory by default so custom or reduced references can still be planned; add ",{"type":42,"tag":57,"props":358,"children":360},{"className":359},[],[361],{"type":48,"value":362},"--genome-build",{"type":48,"value":333},{"type":42,"tag":57,"props":365,"children":367},{"className":366},[],[368],{"type":48,"value":369},"--bundle-root \u003Cbundle>=\u003Cpath>",{"type":48,"value":348},{"type":42,"tag":57,"props":372,"children":374},{"className":373},[],[375],{"type":48,"value":376},"--require-resource-plan",{"type":48,"value":378}," when missing registered reference bundles should block readiness.",{"type":42,"tag":66,"props":380,"children":382},{"id":381},"decision-points",[383],{"type":48,"value":384},"Decision Points",{"type":42,"tag":78,"props":386,"children":387},{},[388,393,398,403,408],{"type":42,"tag":82,"props":389,"children":390},{},[391],{"type":48,"value":392},"Verify tumor-normal pair metadata before execution. 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Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[520,523,526,529],{"name":521,"slug":522,"type":15},"Apps SDK","apps-sdk",{"name":524,"slug":525,"type":15},"ChatGPT","chatgpt",{"name":527,"slug":528,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":532,"name":532,"fn":533,"description":534,"org":535,"tags":536,"stars":511,"repoUrl":512,"updatedAt":546},"cli-creator","build CLIs from API docs","Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read\u002Fwrite commands, return stable JSON, manage auth, and pair with a companion skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[537,540,543],{"name":538,"slug":539,"type":15},"API Development","api-development",{"name":541,"slug":542,"type":15},"CLI","cli",{"name":544,"slug":545,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":548,"name":548,"fn":549,"description":550,"org":551,"tags":552,"stars":511,"repoUrl":512,"updatedAt":565},"cloudflare-deploy","deploy projects to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[553,556,559,562],{"name":554,"slug":555,"type":15},"Cloudflare","cloudflare",{"name":557,"slug":558,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":560,"slug":561,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":563,"slug":564,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":567,"name":567,"fn":568,"description":569,"org":570,"tags":571,"stars":511,"repoUrl":512,"updatedAt":584},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[572,575,578,581],{"name":573,"slug":574,"type":15},"Productivity","productivity",{"name":576,"slug":577,"type":15},"Project Management","project-management",{"name":579,"slug":580,"type":15},"Strategy","strategy",{"name":582,"slug":583,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":586,"name":586,"fn":587,"description":588,"org":589,"tags":590,"stars":511,"repoUrl":512,"updatedAt":600},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[591,594,596,599],{"name":592,"slug":593,"type":15},"Design","design",{"name":595,"slug":586,"type":15},"Figma",{"name":597,"slug":598,"type":15},"Frontend","frontend",{"name":527,"slug":528,"type":15},"2026-04-12T05:06:47.939943",{"slug":602,"name":602,"fn":603,"description":604,"org":605,"tags":606,"stars":511,"repoUrl":512,"updatedAt":616},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[607,608,611,612,613],{"name":592,"slug":593,"type":15},{"name":609,"slug":610,"type":15},"Design System","design-system",{"name":595,"slug":586,"type":15},{"name":597,"slug":598,"type":15},{"name":614,"slug":615,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":618,"name":618,"fn":619,"description":620,"org":621,"tags":622,"stars":511,"repoUrl":512,"updatedAt":630},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[623,624,625,628,629],{"name":592,"slug":593,"type":15},{"name":609,"slug":610,"type":15},{"name":626,"slug":627,"type":15},"Documentation","documentation",{"name":595,"slug":586,"type":15},{"name":597,"slug":598,"type":15},"2026-05-16T06:07:47.821474",{"slug":632,"name":632,"fn":633,"description":634,"org":635,"tags":636,"stars":511,"repoUrl":512,"updatedAt":642},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[637,638,639,640,641],{"name":592,"slug":593,"type":15},{"name":595,"slug":586,"type":15},{"name":597,"slug":598,"type":15},{"name":614,"slug":615,"type":15},{"name":509,"slug":510,"type":15},"2026-05-16T06:07:40.583615",{"slug":644,"name":644,"fn":645,"description":646,"org":647,"tags":648,"stars":511,"repoUrl":512,"updatedAt":657},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[649,652,653,656],{"name":650,"slug":651,"type":15},"Animation","animation",{"name":544,"slug":545,"type":15},{"name":654,"slug":655,"type":15},"Creative","creative",{"name":592,"slug":593,"type":15},"2026-05-02T05:31:48.48485",{"slug":659,"name":659,"fn":660,"description":661,"org":662,"tags":663,"stars":511,"repoUrl":512,"updatedAt":673},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[664,665,666,669,672],{"name":654,"slug":655,"type":15},{"name":592,"slug":593,"type":15},{"name":667,"slug":668,"type":15},"Image Generation","image-generation",{"name":670,"slug":671,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":676,"total":789},[677,693,709,721,739,757,777],{"slug":678,"name":678,"fn":679,"description":680,"org":681,"tags":682,"stars":25,"repoUrl":26,"updatedAt":27},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[683,686,689,692],{"name":684,"slug":685,"type":15},"Accessibility","accessibility",{"name":687,"slug":688,"type":15},"Charts","charts",{"name":690,"slug":691,"type":15},"Data Visualization","data-visualization",{"name":592,"slug":593,"type":15},{"slug":694,"name":694,"fn":695,"description":696,"org":697,"tags":698,"stars":25,"repoUrl":26,"updatedAt":708},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[699,702,705],{"name":700,"slug":701,"type":15},"Agents","agents",{"name":703,"slug":704,"type":15},"Browser Automation","browser-automation",{"name":706,"slug":707,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":710,"name":710,"fn":711,"description":712,"org":713,"tags":714,"stars":25,"repoUrl":26,"updatedAt":720},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[715,716,719],{"name":703,"slug":704,"type":15},{"name":717,"slug":718,"type":15},"Local Development","local-development",{"name":706,"slug":707,"type":15},"2026-04-06T18:41:17.526867",{"slug":722,"name":722,"fn":723,"description":724,"org":725,"tags":726,"stars":25,"repoUrl":26,"updatedAt":738},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[727,728,729,732,735],{"name":700,"slug":701,"type":15},{"name":560,"slug":561,"type":15},{"name":730,"slug":731,"type":15},"SDK","sdk",{"name":733,"slug":734,"type":15},"Serverless","serverless",{"name":736,"slug":737,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":740,"name":740,"fn":741,"description":742,"org":743,"tags":744,"stars":25,"repoUrl":26,"updatedAt":756},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[745,746,749,752,753],{"name":597,"slug":598,"type":15},{"name":747,"slug":748,"type":15},"React","react",{"name":750,"slug":751,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":614,"slug":615,"type":15},{"name":754,"slug":755,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":758,"name":758,"fn":759,"description":760,"org":761,"tags":762,"stars":25,"repoUrl":26,"updatedAt":776},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[763,766,769,772,775],{"name":764,"slug":765,"type":15},"AI Infrastructure","ai-infrastructure",{"name":767,"slug":768,"type":15},"Cost Optimization","cost-optimization",{"name":770,"slug":771,"type":15},"LLM","llm",{"name":773,"slug":774,"type":15},"Performance","performance",{"name":754,"slug":755,"type":15},"2026-04-06T18:40:44.377464",{"slug":778,"name":778,"fn":779,"description":780,"org":781,"tags":782,"stars":25,"repoUrl":26,"updatedAt":788},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[783,784,787],{"name":767,"slug":768,"type":15},{"name":785,"slug":786,"type":15},"Database","database",{"name":770,"slug":771,"type":15},"2026-04-06T18:41:08.513425",600]