1,050 件 ・ 関連度順
概要と使いどころ
Use when auditing slow page loads, heavy assets, or rendering delays related to Reduce DOM size and complexity. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Optimize first contentful paint. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Implement Google Consent Mode v2. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Minimize critical request chains. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Use a content delivery network. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Minimize cumulative layout shift. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Perform browser-based performance audits. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Optimize CSS file size. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Enable text-based compression. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Enable browser caching. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing slow page loads, heavy assets, or rendering delays related to Convert animated GIFs to video. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
日本語の概要は準備中です。原文の説明を表示しています。
Switches into OpenSpec docs-writing mode; loads the house style guide and drafts or revises pages in its voice (action-first, no preamble, scannable). Use when writing or editing pages in the OpenSpec docs tree.
日本語の概要は準備中です。原文の説明を表示しています。
Search, read, upload, organize, and share files and folders in the user's Dropbox cloud storage. Use to upload or download files, collect client uploads with file requests, inspect or create shared links, and create, copy, move, or delete content through Dropbox's official APIs.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
日本語の概要は準備中です。原文の説明を表示しています。
Make a mod: a live pane, band, status line, toast or hook inside Claude Code (terminal or desktop Code tab), written as a plugin of function hooks that hot-reloads in this session. Load before writing or debugging a hooks module.
日本語の概要は準備中です。原文の説明を表示しています。
Push a React design system to claude.ai/design. This runs a converter that bundles the real component code (from Storybook or a bare package) and uploads it. Use when the user runs /design-sync or says "sync my design system to Claude Design".
日本語の概要は準備中です。原文の説明を表示しています。
Performs exact symbolic mathematics with SymPy for algebra, calculus, equation solving, symbolic linear algebra, physics, and lambdify or LaTeX code generation. Use when a task needs symbolic results, explicit assumptions, or exact arithmetic; use NumPy or SciPy for purely numerical workloads.
日本語の概要は準備中です。原文の説明を表示しています。
Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations. Uses public metadata and download routes without authentication; optional BigQuery and Google Healthcare routes require Google credentials.
日本語の概要は準備中です。原文の説明を表示しています。
GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.
日本語の概要は準備中です。原文の説明を表示しています。
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
日本語の概要は準備中です。原文の説明を表示しています。
Queries 20+ bioinformatics resources through CLI/Python. Supports quick lookups of gene info, BLAST/BLAT, viral sequence downloads, PDB/mmCIF structures, G2P residue annotations, enrichment analysis, OpenTargets, COSMIC, CELLxGENE, and 8cube mouse specificity/expression data. Best for interactive exploration and simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
日本語の概要は準備中です。原文の説明を表示しています。
Queries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.
日本語の概要は準備中です。原文の説明を表示しています。
Builds and operates reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Supports DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a user needs lawful academic full text, CNKI institutional access, English OA retrieval, publisher API access, institutional browser fallback, or supporting information downloads.
日本語の概要は準備中です。原文の説明を表示しています。