「index」の検索結果

Use when auditing metadata, crawlability, structured data, or indexability related to Sync HTML canonical tags and Link headers. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Implement valid BreadcrumbList schema. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Set canonical URLs for all pages. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Resolve internal broken links. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Fix malformed HTML structure. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Create a comprehensive Contact page. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Avoid redirect chains on canonical URLs. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Display clear author bylines. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Implement valid Article structured data. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Create a dedicated About page. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Provide clear affiliate disclosures. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Implement comprehensive author markup. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Highlight author credentials and expertise. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Use descriptive anchor text. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Audit and refine AI-generated content. Verify the rendered HTML and HTTP response rather than relying only on source files.

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 metadata, crawlability, structured data, or indexability related to Optimize article link density. Verify the rendered HTML and HTTP response rather than relying only on source files.

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。

Source-control safety for Git. Two rules apply whether or not you read the body. First, never commit, amend, push, tag, rebase, cherry-pick, revert, or reset --hard unless the user asked for that exact write in this session. An explicit request to create a new commit counts anywhere in the user's own task text, but it is not a request to amend, push, or tag. Finishing a task without that request is not authorization, so leave your work uncommitted for review. Second, when a Git lock file or corrupt index blocks you, never kill the holding process or bulldoze through with deletions - wait, retry, use the holder's own stop mechanism, or stop and report. Load the body only before writing Git history or recovering Git state.

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。

Install and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add, installing a block or component, wiring an installed item into index.html, or working with hyperframes.json. Covers the add command, install locations, block sub-composition wiring, component snippet merging, registry discovery, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

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。

Render-correctness doctrine for scene-to-scene seams in HyperFrames launch videos — the prerequisites that make transitions composite correctly on the master timeline. Load when assembling the master timeline / index.html, when a white flash appears at a cut or crossfade seam (especially on dark films), when reasoning about why a transition opacity dip shows through, or when verifying the render-side mechanics of how overlapping scene wrappers blend. Covers the opaque stage-ground (#root background) white-flash guard and how the injector overlaps wrappers, holds final frames, ping-pongs tracks, and stamps lint-clean template code onto the master timeline. Does NOT contain the per-transition catalog — see the transition registry for individual transition entries.

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, install, and wire registry blocks and components into HyperFrames compositions. Use BEFORE hand-building any named visual — whenever a brief, a user, or a storyboard names a look, effect, treatment, or transition such as CRT scanlines, glitch, chromatic aberration, film grain, a shimmer sweep, a chart, a code or terminal window, a map, or a confetti burst — because roughly 400 hosted items already cover many of them and the search ranks all of them with nothing installed, no project, and no account. Also use when running hyperframes add or hyperframes catalog, installing one item or every block matching a tag, wiring an installed item into index.html, or working with hyperframes.json. Covers discovery, install locations, block sub-composition wiring, component snippet merging, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

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 audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," "indexing issues," "stuck on page 2," "striking distance keywords," "title tag rewrite," "low CTR," "local SEO," "Google Business Profile," or "map pack." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo.

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。

Stores and retrieves genomic variant calls with TileDB-VCF. Use for indexed single-sample VCF/BCF ingestion, incremental cohorts, region and sample queries, streaming results, allele statistics, QC, and VCF/BCF export locally or through TileDB Cloud.

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 Python/HTSlib workflows for genomic files. Used when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references.

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。

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible 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。