Swiftのactorで共有データへのアクセスを管理し、メモリ内キャッシュとJSONファイル保存を組み合わせて、同時アクセス時のデータ競合を避ける保存処理を設計するスキル。
- iOS・macOSアプリのローカル保存
- オフライン中心のアプリの保存層設計
- ロックによる同期処理を置き換えたいとき
507 件 ・ 関連度順
概要と使いどころ
Swiftのactorで共有データへのアクセスを管理し、メモリ内キャッシュとJSONファイル保存を組み合わせて、同時アクセス時のデータ競合を避ける保存処理を設計するスキル。
米国の特許・商標をUSPTOの公式情報で調べ、出願状況、審査書類、権利譲渡の記録を確認し、検索条件や取得日を残して調査結果を整理するスキル。
PubMedで医学・生命科学の文献を探し、統制語や条件を使った検索式の作成、抄録・書誌情報の取得、再現可能な検索記録の整理を支援するスキル。
最新の公開情報と手元の資料を照合し、事実・推測・提案を分けて調査結果をまとめます。単発の確認、選択肢の比較、人物や企業の調査に合わせて調べ方を選ぶスキルです。
家庭内ネットワークにPi-holeを導入し、広告などのドメイン遮断、DNS通信の暗号化、機器の名前登録、接続不具合の調査を支援するスキル。
複数のEVMチェーンでトークン残高や価格の桁がずれる問題を防ぐため、小数桁数の実行時取得、チェーン別キャッシュ、精度を保つ計算と単位統一を扱うスキル。
Webの最新情報やコード例、企業・人物の情報をExaで検索し、目的に合う資料を探します。一般的な調査とAPIの使い方を調べる検索を使い分けるスキルです。
ライブラリやフレームワークの設定方法、API仕様、コード例をContext7 MCPで調べ、取得した現行ドキュメントと指定バージョンに基づく回答を支援するスキル。
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.
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。
Look up Ant Design React component documentation, props, and usage examples. Use when working with Ant Design (antd) components and needing API details, default values, or usage patterns.
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。
Look up the applied tariff on one HS6 product imported by one country from another (MFN, partner-specific preferential, and the best available applied rate), from UNCTAD TRAINS via World Bank WITS. Use when the user asks what duty a specific product pays between two specific countries.
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。
Look up the current US import duty on one HTS product from one country — the HTS column rate (MFN, trade-agreement or column 2) plus the Section 301 and 232 duties in chapter 99 — from the live USITC Harmonized Tariff Schedule. Use when the user asks what the US charges today on a product from a specific country, including China tariffs and other additional duties.
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。
Retrieve a country's average applied tariff over time — the MFN rate on all products, or the rate it applies on goods from one partner and/or in one product group — plus the optional US effective tariff rate. Use when the user asks how a country's tariffs have changed, or what it charges another country on average. For one product between two countries, use lookup-bilateral-tariff.
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 Cloudinary media management including folder organization, upload presets, asset lookup, transformations, and usage monitoring through natural language commands
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。
AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.
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。
Fill a web form by mapping field-name → value, with optional template lookup from browser-templates for known forms
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 reviewing string concatenation involving counts, translation key lookups, or i18n library configurations to check whether plural forms are handled correctly for all target locales.
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 and inspect the user's photo library, including connected device galleries. Use for photo requests and whenever a photo could ground or personalize a response; lookups of uploaded photos are cheap, so check opportunistically and move on if nothing fits.
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 a pinned Precision Medicine Knowledge Graph (PrimeKG) CSV for typed gene, drug, disease, and phenotype nodes, direct associations, disease context, and one- or two-hop paths. Use for PrimeKG reproducibility, biological association lookup, and hypothesis generation with relation and data provenance preserved.
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。
Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.
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。
Compiles current scholarly evidence for a scientific manuscript or research brief when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source retrieval, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.
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。
Analyzes pooled CRISPR screen FASTQ reads and guide-count matrices with MAGeCK, validates guide libraries and contrasts, measures replicate and library QC, and produces gene hit rankings with effect sizes and FDR. Use for new knockout, CRISPRi, or CRISPRa screen analysis, enrichment or depletion contrasts, and MAGeCK count/test workflows; existing public dependency-score lookup belongs to DepMap.
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 NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publications, and knowledge-source provenance. Do not use for inference, ranking, open-ended pathfinding, clinical guidance, or sensitive queries.
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。
Resolves free-text scientific labels to ontology term IDs and validates existing CURIEs against the EBI Ontology Lookup Service (OLS4). Also looks up prefixes in Bioregistry, resolves compact identifiers via Identifiers.org, maps lab shorthand with ZOOMA, and builds Ontobee term pages. Use whenever an ontology identifier must be produced or checked - annotating tissue, cell type, disease, phenotype, assay, chemical, organism, sex, or developmental stage fields; preparing metadata for GEO, ENA, BioSamples, CELLxGENE, HCA, or ISA-Tab submission; auditing a metadata table of term IDs; checking whether a term is obsolete and what replaced it; or deciding HPO vs HP. Triggers include "ontology term", "ontology ID", "CURIE", "controlled vocabulary", "UBERON", "CL:", "MONDO", "HPO", "EFO", "ChEBI", "NCBITaxon", "GO term", "PATO", "Zooma", "Bioregistry", "Identifiers.org", "Ontobee", "annotate this tissue/cell type/disease", and any request to emit or verify an identifier shaped like PREFIX:0001234.
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。