6,618 件 ・ 関連度順
概要と使いどころ
Claude API (platform.claude.com) の Messages API リファレンス。 streaming (SSE), thinking (adaptive) / effort, prompt caching, context editing, compaction, structured outputs, Message Batches, token counting, vision / PDF, Files API, citations, embeddings (Voyage AI)。 errors, rate limits, beta headers, Amazon Bedrock / Vertex AI / Foundry 経由アクセスを含む。
visionOS / iOS 空間コンピューティングリファレンス。RealityKit、ARKit、visionOS SwiftUI API。 Entity, ModelEntity, AnchorEntity, Component, RealityView, MeshResource, Material, System, EntityAction, GaussianSplatComponent, ComputeGraphComponent, PhysicsJointsComponent, ForceEffectComponent, ClothBodyComponent, NavigationComponent, NavigationMeshComponent, NavigationController, ImmersiveSpace, ImmersionStyle, Model3D, WindowGroup, VolumetricWindowStyle, ObjectTrackingProvider, RoomTrackingProvider, ARSession, ARWorldTrackingConfiguration, ARKitSession, WorldTrackingProvider, HandTrackingProvider, SceneReconstructionProvider。
Apple アプリサービスリファレンス。StoreKit 2、CloudKit、WidgetKit、ActivityKit、 User Notifications、Core Location、MapKit、HealthKit、Sign in with Apple。 Product, Transaction, CKRecord, Widget, TimelineProvider, CLLocationManager, Map, HKHealthStore, ASAuthorizationController, UNUserNotificationCenter。
Why expensive, wasteful, effortful, or self-deprecating actions build trust and desire — Rory Sutherland on signalling. Use when the problem is credibility or desirability rather than meaning: the user asks 'why don't people trust us', 'how do we look more credible/committed/premium', 'is our guarantee/warranty worth it', 'should we spend on brand advertising', 'how do we justify a higher price', or wonders why a cheaper-looking competitor wins. Covers costly signals (advertising spend, guarantees, over-delivery), price-as-quality-signal (Veblen goods), and the Pratfall Effect (admitting a real flaw to gain trust). Inspired by Rory Sutherland's *Alchemy*. Routed to from psycho-logic. 日本語の相談（「信頼されない」「安心してもらえない」「強気な価格で売りたい」「広告費に意味はある？」）にも使う。中文咨询（“不被信任”“想以高价出售”“广告费有意义吗？”）也适用。
セッションログ（~/.claude/projects の jsonl）を横断分析する。集計モード（既定）は skill 発火・tool 頻度・軌道修正シグナル・compaction・未発火 skill を定量集計し、mining モードはユーザー発話を全件マイニングして訂正の規則化と繰り返し指示の既定化の提案を作る。手動起動専用。境界: 単一セッションの振り返りは update-inst、実データを見ない静的監査は instructions-audit。
現在のセッション内容を別セッションが引き継げるハンドオフ文書に圧縮し、メモリディレクトリの 50_handoff.md に書き出す。/handoff 実行時、ユーザーがセッションの切替・引き継ぎを明示した時、compaction が近い時に使用。境界: 過去メモリの検索は findmem、知見の指示ファイル反映は update-inst。
GitHub Actions ワークフロー実行（run）のIDまたはURLを受け取り、その実行が失敗している場合に原因を調査・特定して修正し、PRを作成します。成功している場合は何もしません。
Performs differential expression on bulk RNA-seq count data with DESeq2's negative-binomial GLM, Wald and LRT testing, apeglm/ashr/normal LFC shrinkage, independent filtering, Cook's outlier handling, VST/rlog transforms, and design formulas including paired, batch, and interaction terms. Use when running bulk DE, choosing DESeq2 over edgeR or limma-voom, building a paired or interaction design, applying LFC shrinkage for ranking or GSEA, choosing Wald vs LRT, troubleshooting padj=NA, picking VST vs rlog, importing salmon/kallisto via tximport, or analyzing prokaryotic 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。
Build circular genome visualizations using circlize (R), pyCirclize (Python), or Circos (Perl CLI) with ideogram tracks, multi-data tracks (scatter, histogram, heatmap), chord/link arcs for interactions, and explicit circos.clear() between plots. Covers when circular is appropriate vs when Cartesian wins (Cleveland-McGill 1984), karyograms, and chromosome adjacency in chord diagrams. Use when adjacency on the circle conveys meaning — chromosome-level overview, structural variants, Hi-C interactions, cross-genome comparisons.
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 subgroup and heterogeneous treatment effect (HTE) analyses for clinical trials. Covers Mantel-Haenszel pooling, Breslow-Day, interaction tests in regression, RERI for additive interaction, modern data-adaptive HTE methods (STEPP, SIDES, causal forests, X/R-learners), Bayesian shrinkage (Dixon-Simon, MAP, EXNEX), graphical multiplicity (Bretz-Maurer), and credibility frameworks (Sun BMJ, EMA 2019). Use when analyzing treatment effects across patient subgroups for regulatory submissions or precision-medicine claims.
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。
The GitHub Actions cost rules ($100/week cap). Use when editing .github/workflows, adding a schedule or cron, dispatching a workflow, publishing a package version, hitting a billing block, or seeing a CI SPEND OFF TRACK line, ci-breaker issue or spend alert.
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 Event-Driven Architecture (EDA) patterns for Spring Boot — creates domain events, configures ApplicationEvent and @TransactionalEventListener, sets up Kafka producers and consumers, and implements the transactional outbox pattern for reliable distributed messaging. Use when implementing event-driven systems in Spring Boot, setting up async messaging with Kafka, publishing domain events from DDD aggregates, or needing reliable event publishing with the outbox pattern.
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 a feature and enhance it with purposeful animations, micro-interactions, and motion effects that improve usability and delight. Use when the user mentions adding animation, transitions, micro-interactions, motion design, hover effects, or making the UI feel more alive.
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 structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.
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。
GitHub Actions の SHA ピン留め（pinact 必須）と Dependabot・Renovate のクールダウン設定（14日間）をリポジトリに適用し、サプライチェーン攻撃対策を実施する。ユーザーが「サプライチェーン対策」「GHA ピン留め」「Dependabot クールダウン」「pinact」「supply chain hardening」に言及した場合に使用する。
依存パッケージ（Go modules / npm / Terraform provider / GitHub Actions / pre-commit 等）の アップグレードを、outdated 検出 → CHANGELOG・破壊的変更の確認 → 更新 → lint/test 検証 → コミットまで一連の手順で安全に適用する。「依存更新」「パッケージを上げて」「dependency update」 「go get -u」「npm update」「provider を上げる」等に言及されたときに使用する。
CI/GitHub Actionsの失敗パターンをCLAUDE.mdに蓄積するスキル。`/ci-learn` で直近の失敗runから学び、`/ci-learn #run_id` で指定runを分析。同じCI失敗を繰り返さないコードベースを実現する。
Generate a backward-looking retrospective of vault activity (addressed callouts + Log entries) over a time window (1w / 1m / 1q), overlay with newsflow + earnings transcripts + price action, and rank trade ideas by the gap between official narrative and market reaction. Output is an immutable Research note. Use when user says "retro", "retrospective", "what did I do this week/month/quarter", "review activity against market", or "recommend trades from recent research".
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。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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。
CI/CD e automação — GitHub Actions, Terraform, OpenTofu, Ansible, n8n. Use quando o usuário disser "pipeline", "CI/CD", "GitHub Actions", "workflow", "terraform", "ansible", "n8n", "automatizar", "deploy automático", "IaC".
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。
Clarify priority and emphasis by fixing unclear primary actions, competing visual weight, loud section titles, and weak label/value treatment. Use when the user mentions hierarchy, prioritization, too much competition, grayscale confusion, loud headings, or unclear primary actions.
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 real-time, reactive backend applications with Convex using TypeScript queries, mutations, and actions with automatic reactivity and optimistic updates. Use when building real-time collaborative applications, implementing reactive data synchronization, writing serverless backend functions, creating queries that auto-update, implementing mutations with transactional guarantees, handling file uploads with Convex storage, implementing authentication with Convex Auth, designing reactive database schemas, or building applications requiring instant data synchronization.
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。
Analyze meeting transcripts, recordings, and notes to extract action items, key decisions, topics, sentiment, and generate summaries using NLP and AI. Use when processing meeting transcripts, extracting action items, summarizing discussions, identifying key decisions, tracking topics and themes, analyzing sentiment, generating meeting notes, or building collaboration and productivity 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。