3,487 件 ・ 関連度順
概要と使いどころ
Analyze TF motif accessibility variability across samples or single cells using chromVAR. Use when identifying TF motifs whose accessibility correlates with conditions, computing per-sample motif z-scores after matched background correction, comparing to ArchR / Signac equivalents, or distinguishing motif-accessibility signal from per-site footprinting.
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。
Assesses RNA-seq data quality specifically for alternative splicing analysis. QC layers include experimental design audit (library prep, read length, depth, replicates), STAR 2-pass cohort-style alignment, junction saturation curves and discovery plateau detection, novel-vs-known junction ratio diagnostics, junction-overhang distribution, splice-site strength scoring (MaxEntScan intrinsic + SpliceAI context-aware), strandedness verification, GENCODE basic vs comprehensive choice, and rRNA contamination screening. Splicing analysis is more demanding than DGE on read length, depth, library prep, alignment strategy, and annotation choice — failures silently bias PSI estimates and inflate novel-junction false positives. Use when evaluating data suitability for splicing analysis, troubleshooting low event detection, or designing sequencing experiments where AS is a primary endpoint.
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。
Quantifies alternative splicing as PSI (percent spliced in) from RNA-seq using rMATS-turbo (BAM-based event), SUPPA2 (TPM-based event), MAJIQ V3 (LSV-based Bayesian), leafcutter (annotation-free intron clusters), VAST-TOOLS (cross-species with microexon support), Shiba (junction-imbalance-corrected, 2025 SOTA at low coverage), or IRFinder-S (intron retention coverage-aware). Distinguishes the five canonical event classes (SE, A5SS, A3SS, MXE, RI), special classes (microexons, exitrons, AFE/ALE), intron retention subtypes (canonical RI vs detained introns), and applies effective-length normalization. Use when measuring splice-site usage or isoform inclusion ratios from short-read RNA-seq.
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。
Provides expert knowledge for building Astro 5+ sites with Islands Architecture, Content Collections, TypeScript, and performance-first rendering strategies.
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。
Inventory staged local EcoSIM data at project startup and validate input readiness for a selected site, simulation period, and preprocessing or analysis workflow. Use before data-dependent work or when relevant inputs change.
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。
Read this skill before the first step of any request to do something in an app on the person's own computer (Notes, Finder, System Settings, any desktop app), to look at their screen, or for "computer use". Computer use (desktop control) lets Claude take screenshots of the person's desktop and control it with clicks, typing and scrolling through the Claude desktop app; its tools are named mcp__computer-use__* when the session runs in the desktop app and mcp__remote-devices__computer_* when a cloud session is linked to the person's computer; before computer use is turned on for a conversation there may be no such tools, only an enable__mcp__remote-devices__computer tool, which turns it on. It covers turning it on, picking the right tool, the access flow, and the safety rules for tiered apps, links and financial actions. It is not for websites, which go through Claude in Chrome or the built-in browser and their own skills.
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。
Read this skill before the first step that uses Claude in Chrome, the browser extension whose tools are named mcp__claude-in-chrome__* (also called Chrome, the browser extension, or the external browser) and which acts in the person's real Chrome with their own sign-ins; before those tools are turned on there may be a single enable__mcp__claude-in-chrome tool instead. It covers loading the tools in one ToolSearch call, checking the person's open tabs and working in a new tab, site permissions, GIF recordings, console logs, dialogs to avoid, and when to stop and ask. It is not for the built-in browser (mcp__Claude_Browser__* or mcp__remote-devices__Claude_Browser__* tools), which has its own skill, and it does not decide which browser to use.
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。
Read this skill before the first step that uses the built-in browser, the browser pane inside the Claude desktop app (also called the in-app browser, the browser pane, Claude's browser, or "your own browser"), whose tools are named mcp__Claude_Browser__* when the session runs in the desktop app and mcp__remote-devices__Claude_Browser__* when a cloud session is linked to the person's computer; before those tools are turned on there may be a single enable__mcp__remote-devices__Claude_Browser tool instead. It covers the pane's persistent sign-ins, tabs and preview_start, reading pages as text, site approvals, what the pane cannot open, and what to do when it cannot be reached. It is not for Claude in Chrome (mcp__claude-in-chrome__* tools), which has its own skill, and it does not decide which browser to use.
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。
Deploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.
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。
Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support.
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。
Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences.
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。
Extract EPA/NADP tDEP atmospheric deposition and NADP precipitation chemistry rasters for an AmeriFlux or EcoSIM site. Use when deriving atmospheric chemistry inputs such as NH4, NO3, SO4, Ca, or precipitation pH for EcoSIM forcing workflows.
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。
Sort AmeriFlux BASE-BADM BIF variables from Excel or CSV files into observation, management-event, static metadata, and plotting-ready target time-series tables. Use when Codex is asked to sort AmeriFlux BIF variables into time series; organize BADM/BIF variables by date; pivot AMF *_BIF_*.xlsx files by GROUP_ID; output total LAI, leaf mass per area, above-ground biomass, canopy height, fruit yield, or total yield time series; write MATLAB readers for BIF time-series plotting; or prepare dated AmeriFlux site observations and management records for EcoSIM workflows.
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。
Extract point-scale CMIP6 historical and SSP future climate data from the Pangeo Google Cloud catalog and convert them into bias-corrected additive or multiplicative anomalies for LSM or EcoSIM climate forcing. Use when a task needs site latitude/longitude, scenario-specific CMIP6 variables, vapor pressure derived from huss and ps, calendar-aware day-of-year climatologies, or projected change summaries for the 2050s and 2090s.
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。
Map observed site vegetation, species lists, land-cover descriptions, or plant management PFTs to EcoSIM vegetation codes using templates/ecosim_pftpar_20260303.nc.cdl. Use when choosing or validating EcoSIM pft_type values, pfts entries, pfts_short categories, pfts_long plant type meanings, or the combined short-code plus Koppen climate numerical code used by plant management inputs.
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。
Extract AmeriFlux BASE-BADM/BIF crop management records into EcoSIM-editable plant-management and soil-management Excel workbooks that can be converted to EcoSIM NetCDF files. Use when asked to derive EcoSIM planting, harvest, fertilizer, or tillage management inputs from AMF *_BIF_*.xlsx or BIF CSV files, especially for crop sites where management details live in GRP_DM_* records and DM_COMMENT fields.
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。
Hand-drawn paper-wireframe template — white paper background, monochromatic ink palette, SVG turbulence "wobble" filters for pen-quiver authenticity, handwritten fonts (Caveat / Kalam / Ma Shan Zheng / Long Cang), wavy dividers, sketch-rect overlays, marginalia annotations. For PRD illustrations, IA flow docs, low-fidelity layout exploration, "draft / not final" stakeholder communication. Three skeletons (single-page editorial / app multi-screen flow / IA sitemap) — pick one up front based on the artifact, do NOT inherit only the brush strokes.
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。
Design platform-specific Android and iOS checks with explicit SDK, driver, device, lifecycle, and evidence prerequisites.
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。
Escreve ou reescreve copy de páginas de marketing — home, landing page, página de preço, de produto, de funcionalidade, institucional. Use quando o usuário disser "escrever copy", "criar landing page", "reescrever essa página", "preciso de headline", "melhorar o CTA", "copy do site", "texto da home". Para e-mail use copy-email; para anúncio use copy-ads; para revisar texto pronto use copy-review.
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。
Design precise, production-grade enterprise UI — dashboards, admin panels, SaaS interfaces, and data-heavy applications. Use this skill for professional software interfaces that need Jony Ive-level craft: clean, minimal, functional, with intentional personality. Do NOT use for creative landing pages, marketing sites, or experimental/artistic frontends.
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。
Audita e diagnostica SEO — técnico, on-page e qualidade de conteúdo. Use quando o usuário disser "auditoria de SEO", "não estou rankeando", "SEO técnico", "meta tags", "Core Web Vitals", "revisar SEO do site".
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。
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
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。
Automate browser testing, web scraping, and user workflow testing with Playwright across multiple browsers. Use when writing end-to-end tests for web applications, automating repetitive browser tasks, scraping data from websites, testing across Chrome/Firefox/Safari, taking screenshots for visual regression testing, testing authentication flows, filling and submitting forms programmatically, testing responsive designs across viewports, or any browser automation requiring reliable, cross-browser testing capabilities.
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。
Create comprehensive technical documentation including API docs, component libraries, README files, architecture diagrams, and developer guides using tools like JSDoc, Storybook, or Docusaurus. Use when documenting APIs, creating component documentation, writing README files, generating API references, documenting architecture decisions, creating onboarding guides, maintaining changelogs, documenting configuration options, or building developer documentation sites.
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。