388 skills · sorted by relevance
Modern React UI patterns for loading states, error handling, and data fetching. Use when building UI components, handling async data, or managing UI states.
The English summary is being prepared. Showing the original description.
Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.
The English summary is being prepared. Showing the original description.
Export PostHog events, persons, or sessions on demand and download the resulting files. Use when the user asks to download/export raw PostHog data, create a one-off file export, fetch a Parquet or JSONLines export, or use the file_download_batch_exports API. Covers starting the export with MCP, polling completion, and downloading via the existing REST redirect endpoint.
The English summary is being prepared. Showing the original description.
End-to-end multiome workflow for joint scRNA-seq + scATAC-seq analysis. Covers data loading, separate modality processing, and WNN integration with Seurat/Signac. Use when analyzing joint scRNA+scATAC data.
The English summary is being prepared. Showing the original description.
Next.js App Router 専用 API リファレンス（Pages Router / getStaticProps 等は非対応）。 Server Components, Server Actions, layout/page/loading/error ファイル規約, dynamic / parallel / intercepting routes, Metadata API (generateMetadata), Cache Components, use cache, Partial Prefetching, revalidatePath/revalidateTag/updateTag, catchError, next/root-params, ensureStatic, next/image・next/font・next/link, cookies/headers, useRouter, next.config.js, proxy（旧 middleware）。 プラットフォーム実行基盤・CDN・ISR インフラは vercel スキル参照。
The English summary is being prepared. Showing the original description.
Query and download from NCBI Gene Expression Omnibus (GEO) and EMBL-EBI's BioStudies/ArrayExpress mirror. Use when finding expression datasets, navigating SuperSeries vs SubSeries, choosing between series-matrix (submitter-normalized) and raw supplementary files, downloading via GEOparse (Python) or GEOquery (R/Bioconductor), linking GEO to SRA for raw reads, or distinguishing GSE/GSM/GPL/GDS record types. Encodes the SuperSeries trap, the series-matrix normalization-trust caveat, GEOmetadb deprecation, ArrayExpress migration to BioStudies, and processed-vs-raw decision matrix.
The English summary is being prepared. Showing the original description.
Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.
The English summary is being prepared. Showing the original description.
Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.
The English summary is being prepared. Showing the original description.
Query and download from NCBI Gene Expression Omnibus (GEO) and EMBL-EBI's BioStudies/ArrayExpress mirror. Use when finding expression datasets, navigating SuperSeries vs SubSeries, choosing between series-matrix (submitter-normalized) and raw supplementary files, downloading via GEOparse (Python) or GEOquery (R/Bioconductor), linking GEO to SRA for raw reads, or distinguishing GSE/GSM/GPL/GDS record types. Encodes the SuperSeries trap, the series-matrix normalization-trust caveat, GEOmetadb deprecation, ArrayExpress migration to BioStudies, and processed-vs-raw decision matrix.
The English summary is being prepared. Showing the original description.
Turn a large dataset (an existing oversized Coval test set, an export of past conversations, or a CSV/JSON of cases) into a small, high-signal Coval test set by removing duplicates, identifying unique scenarios, and selecting a representative, failure-weighted subset — then bulk-loading it with no row cap. Use when the user says "I have thousands of cases", "dedupe my test set", "my test set is too big", "turn this dataset into a test set", "pick representative scenarios", or "my CSV import only kept 10 / uploaded everything".
The English summary is being prepared. Showing the original description.
3D web graphics with Three.js (WebGL/WebGPU). Capabilities: scenes, cameras, geometries, materials, lights, animations, model loading (GLTF/FBX), PBR materials, shadows, post-processing (bloom, SSAO, SSR), custom shaders, instancing, LOD, physics, VR/XR. Actions: create, build, animate, render 3D scenes/models. Keywords: Three.js, WebGL, WebGPU, 3D graphics, scene, camera, geometry, material, light, animation, GLTF, FBX, OrbitControls, PBR, shadow mapping, post-processing, bloom, SSAO, shader, instancing, LOD, WebXR, VR, AR, product configurator, data visualization, architectural walkthrough, interactive 3D, canvas. Use when: creating 3D visualizations, building WebGL/WebGPU apps, loading 3D models, adding animations, implementing VR/XR, creating interactive graphics, building product configurators.
The English summary is being prepared. Showing the original description.
Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.
The English summary is being prepared. Showing the original description.
Review and refactor React and Next.js code to address slow loading and interactions. Prioritized guidance covers sequential data requests, downloaded JavaScript size, server processing, repeated rendering, and browser work, with examples for choosing relevant improvements.
Test browser interfaces through Chrome DevTools MCP, a connection that lets an agent inspect a live browser. Check screenshots, errors, network traffic, accessibility, and performance to diagnose problems and verify fixes.
Coordinate groups of AI agents in the cloud with Flow Nexus. Assign research or development tasks, automate workflows triggered by events or schedules, and monitor execution, queues, and agent capacity through the platform's tools.
Download individual YouTube videos with a chosen quality, file format, and destination folder. Save video as MP4, WebM, or MKV, or download only the audio as MP3 using the included Python script.
Review early connections to third-party services such as fonts and APIs. Use loading measurements to identify essential domains, recommend preconnect hints that prepare connections in advance, and remove unnecessary hints that add overhead.
Measure the total size of a web page and its resources, identify what slows loading, and reduce unnecessary weight. Use a 1500KB limit to guide image optimization, code compression, and removal of unused resources.
Inspect compressed JavaScript bundles, the files that package application code, to find excessive size and loading costs. Recommend splitting code, removing unused portions, and reviewing dependencies based on measured effects on page responsiveness.
Audit slow page loads by measuring LCP, the time until the largest visible content appears. Identify bottlenecks in images, server responses, and rendering, then recommend changes supported by measurements.
Investigate slow page loads and check whether resources use HTTP/2 or HTTP/3. Measure the actual bottleneck, then recommend server or CDN changes where appropriate, explaining how shared connections and compressed headers affect loading.
Audit how quickly a page shows its first text or image. Use performance measurements to identify blocking resources, slow server responses, and rendering delays, then recommend changes tied to the confirmed bottlenecks.
Audit CSS file sizes and loading behavior to find stylesheets that delay page rendering. Confirm the problem with performance measurements, then reduce unnecessary CSS through minification, unused-style removal, or splitting files by page.
Audit slow page loads by measuring how static files, such as images and scripts, are delivered. Check CDN usage, a network of distributed servers, and identify caching or delivery settings that need improvement.