「meta」の検索結果

Processes eDNA metabarcoding from raw paired-end reads to species tables, navigating ASV (DADA2, UNOISE3) vs OTU (swarm v2) decision (Callahan 2017 vs Schloss multi-copy-16S critique), marker/primer choice (Leray COI, MiFish 12S, 515F/806R 16S, ITS2) with primer-specific bias, OBITools3 v3 command-name break (obi stats plural; .tar.gz taxonomy), tag-jumping with dual-indexing (Schnell 2015; NovaSeq 10x MiSeq), decontam as screening-not-classifier (Davis 2018), read-counts-not-abundance critique (Lamb 2019), site-occupancy modeling (Ficetola 2015), Naive-Bayes calibration limits (Bokulich 2018), and eDNA decay (Strickler 2015). Use when going from raw eDNA FASTQ to species tables, picking marker + denoising pipeline, deciding whether read counts represent abundance, applying occupancy modeling, configuring OBITools3 v3, or interpreting decontam output. Not for clinical 16S microbiome (see microbiome/amplicon-processing).

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。

Compute genome-to-genome distances (ANI, AAI, dDDH, k-mer Mash) and assign taxonomic classifications using skani (Shaw 2023), FastANI (Jain 2018), pyani / pyANI ANIb / ANIm, OrthoANI (Lee 2016), AAI (amino-acid identity), dDDH via TYGS / GGDC, GTDB-Tk (Chaumeil 2020 standard prokaryote taxonomy), and Mash MinHash (Ondov 2016). Use when delineating prokaryote species (95% ANI threshold; Jain 2018 Nat Commun 9:5114), assigning genomes to GTDB taxonomy with ANI radius, computing genome similarity matrices for clustering, classifying archaea, evaluating MAG (metagenome-assembled genome) species assignment, applying skani for fast metagenomic ANI screening, or reconciling 16S rRNA-based taxonomy with whole-genome ANI.

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 working with ANY GPU rendering, Metal, OpenGL migration, shaders, 3D content, RealityKit, AR, USD/USDZ files, or display performance. Covers Metal migration, shader conversion, RealityKit ECS, RealityView, USDKit, ProMotion.

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。

Paid advertising automation for Google Ads, Meta Ads, and other ad platforms. Creates campaigns, optimizes budgets, manages keywords, writes ad copy, and tracks ROAS. Leverages third-party ad management skills when available. Use when the user needs ad campaigns, PPC, SEM, paid traffic, or says 'run ads', 'Google Ads', 'Meta Ads', 'Facebook Ads', 'ad campaign', 'PPC', 'ROAS', or 'paid traffic'.

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。

Automatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect.

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。

Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./metadata`. Optionally pairs with promotional text updates.

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 and manage Shopify pages, blog posts, navigation menus, redirects, and SEO metadata via the Admin API or browser automation. Use whenever the user wants to add a page to a Shopify store, write a Shopify blog post, update the storefront navigation, manage redirects, or tune SEO metadata on a Shopify 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。

When the user wants to write, audit, or optimize an HTML title tag, SEO title, page title, SERP title, browser-tab title, duplicate title, or title rewrite issue. For a sitewide metadata lifecycle including implementation and production validation, use page-metadata.

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。

When the user wants to write or optimize H1-H6, fix heading hierarchy, improve content structure, rewrite an H1, or align headings with page intent. This skill owns actual heading changes; page-metadata may only check and report metadata-to-heading alignment.

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。

When the user wants to analyze Google Search Console data, use the GSC API, or interpret search performance. Also use when the user mentions "GSC," "Search Console," "indexing report," "Core Web Vitals," "Enhancements," "Insights report," "search performance," "search queries," "search performance report," "URL inspection," "impressions," "CTR," "average position," "index coverage," "GSC data analysis," "Search Console API," or "searchanalytics.query." When the user wants to rewrite title tags (not only report on them), use title-tag. For meta description rewrites, use meta-description.

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。

Integrates Power Automate cloud flows into a Power Pages site. Lists available flows, suggests relevant ones based on intent, identifies scenarios and web roles, creates metadata files, and generates client-side code to call flows. Handles both new flow registration and adding already-registered flows to additional pages without re-creating metadata. Use when the user wants to add, connect, register, or link a Power Automate cloud flow to their 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。

Query Human Metabolome Database for metabolite information

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。

Audit PDF files for metadata leakage, page count, encryption, JavaScript, embedded files, and version. Use before sending a PDF externally, when redacting sensitive metadata, or running a PDF security 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。

Expert blueprint for RichTextLabel with BBCode formatting (bold, italic, colors, images, clickable links) and custom effects. Covers meta tags, RichTextEffect shaders, and dynamic content. Use when implementing dialogue systems OR formatted text. Keywords RichTextLabel, BBCode, [b], [color], [url], meta_clicked, RichTextEffect, dialogue.

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 blueprint for VR platforms (Meta Quest, PSVR, SteamVR, Pico) covering XR toolkit (OpenXR), comfort settings (vignetting, snap turning, teleport), motion controls, hand tracking, and 90+ FPS requirements. Use when targeting VR headsets or implementing immersive 3D experiences. Keywords VR, XR, OpenXR, Meta Quest, motion sickness, comfort, locomotion, XRController3D, foveated rendering.

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 blueprint for RichTextLabel with BBCode formatting (bold, italic, colors, images, clickable links) and custom effects. Covers meta tags, RichTextEffect shaders, and dynamic content. Use when implementing dialogue systems OR formatted text. Keywords RichTextLabel, BBCode, [b], [color], [url], meta_clicked, RichTextEffect, dialogue.

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 blueprint for VR platforms (Meta Quest, PSVR, SteamVR, Pico) covering XR toolkit (OpenXR), comfort settings (vignetting, snap turning, teleport), motion controls, hand tracking, and 90+ FPS requirements. Use when targeting VR headsets or implementing immersive 3D experiences. Keywords VR, XR, OpenXR, Meta Quest, motion sickness, comfort, locomotion, XRController3D, foveated rendering.

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。

Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, CLS prevention, image SERP rankings (via DataForSEO), and image file optimization (WebP/AVIF conversion, IPTC/XMP metadata injection). Use when user says "image optimization", "alt text", "image SEO", "image size", "image audit", "optimize images", "image metadata", "image SERP", "convert to webp", or "image file optimize".

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。

performing all the steps of gene expression meta-analysis considering the possible existence of missing genes. It provides the necessary functions to be able to perform the different methods of gene expression meta-analysis. In addition, it contains functions to apply quality controls, download GEO datasets and show graphical representations of the results.

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 knowledge for Azure Nutanix development including decision making. Use when selecting NC2 on Azure regions, VM SKUs, and planning capacity, performance, availability, or cost, and other Azure Nutanix related development tasks. Not for Azure VMware Solution (use azure-vmware-solution), Azure Baremetal Infrastructure (use azure-baremetal-infrastructure), Azure Virtual Machines (use azure-virtual-machines), Azure Stack Edge (use azure-stack-edge).

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 knowledge for Azure Large Instances development including troubleshooting, limits & quotas, and integrations & coding patterns. Use when configuring Epic SKUs, sizing volume groups, tuning EHR storage, or resolving Epic–ALI connectivity/perf issues, and other Azure Large Instances related development tasks. Not for Azure Baremetal Infrastructure (use azure-baremetal-infrastructure), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), Azure HPC Cache (use azure-hpc-cache).

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。

Manage paid ads on AdManage.ai from declarative config - default schedules launches across Meta/TikTok/Snapchat/Pinterest/LinkedIn (always PAUSED); create provisions Meta campaigns and ad sets.

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。

Produces a line about what a company is currently advertising on Facebook and Instagram, from the Meta Ad Library. Triggers on "are they running ads", "what are they advertising", "meta ad library", "facebook ads", "pull their ad copy", "who is spending on paid social". Outputs ad_library_line, a lowercase clause that completes "Noticed <line>."

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 the user mentions GPT Image 2.0 or GPT Image 2.5, gpt-image-2, gpt-image-2.5, gpt_image_2_5, GPT-Image-2 prompts, the Flare / Sunburst variants, a transparent-background image, or wants to generate an image with GPT Image 2.0 or 2.5. Covers when to prefer GPT Image 2.5 over 2.0 (transparent background, xhigh/max quality, extra aspect ratios — from platform and OpenAI facts), the CLI-vs-MCP disagreement on gpt_image_2, the three-format prompt taxonomy (Format A structured JSON for UI mockups and layout-dense images; Format B dense cinematic prose for single-subject scenes; Format C auto-derive meta-prompt for theme-only concepts), per-format craft patterns, output conventions, the 6-item pre-delivery checklist, and cross-surface workflow context (companion static-ads-workflow.md for ad recreation; higgsfield-marketing-studio cross-surface-workflow.md §3 for ms_image / DTC Ads Higgsfield-native alternative).

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。