Apple オンデバイス機械学習フレームワークリファレンス。 Core ML / Create ML / Vision / Natural Language / Speech。 MLModel, MLModelConfiguration, MLMultiArray, MLComputeUnits, MLImageClassifier, MLTextClassifier, MLDataTable, VNImageRequestHandler, VNRecognizeTextRequest, VNCoreMLRequest, NLTagger, NLLanguageRecognizer, NLEmbedding, SFSpeechRecognizer, SFSpeechAudioBufferRecognitionRequest, SFTranscription。
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概要と使いどころ
Claude Code (code.claude.com) の権限・セキュリティ・企業管理リファレンス。 permissions (allow / ask / deny), permission modes, auto mode, sandboxing (sandboxed Bash), sandbox environments, zero data retention, data usage, admin setup, server-managed settings, corporate launcher, network config, authentication (SSO), analytics, monitoring (OpenTelemetry), costs, large codebases。
BullMQ (Redis ベースの Node.js ジョブキュー) リファレンス。 Queue, Worker, Job, FlowProducer, QueueEvents、レート制限、cron、 delayed / repeatable / priority ジョブ、再試行、デッドレター、フロー、メトリクス。 Python / Elixir / PHP / Rust マルチ言語対応。
Claude Managed Agents (platform.claude.com/docs/en/managed-agents) リファレンス。 Agents API, Sessions API, Environments API, SSE event streaming, threads, deployments (cron スケジュール), dreams (メモリ統合), vaults (credentials), memory stores, self-hosted sandboxes, webhooks, multiagent orchestration, user profiles, Agent Skills 添付, MCP connector 接続, permission policies。
Drizzle ORM (TypeScript ORM, drizzle-orm / drizzle-kit) の API リファレンス。 pgTable / mysqlTable / sqliteTable, `drizzle()`, `$inferSelect` / `$inferInsert`, RQB (Relational Queries) / `db.query`, `defineRelations`, magic `sql` operator, `drizzle-kit generate` / `push`, `drizzle.config.ts`, drizzle-zod, drizzle-seed, Drizzle Studio。SQL Server の低レベルドライバーは別スキル mssql。
Blender Python API リファレンス。bpy / bmesh / mathutils / gpu / bpy_extras モジュール、 bpy.data / bpy.context / bpy.ops / bpy.types / bpy.props コア API。 Mesh / Modifier / Geometry Nodes / Armature / Keyframe / Driver / Shape Key / NLA、 Cycles / EEVEE / Shader Nodes / Rigid Body / Cloth / Fluid / Compositor Nodes / AOV、 headless CLI レンダリング、add-on 開発、Extensions システム、MCP Server (Model Context Protocol)。
App Store Connect API (REST) リファレンス。JWT 認証、API キー作成・失効、 Apps, Builds, Bundle IDs, Certificates, Devices, Provisioning Profiles, Users。 TestFlight Beta Groups / Testers / App Review。In-App Purchases, Subscriptions, Subscription Groups, Promotional Offers, App Price Points, Sales Reports。アプリ配布。 Sandbox Testers, User Invitations, Merchant IDs, Pass Type IDs, Bundle ID Capabilities。 Webhooks / Webhook Events / Deliveries、Xcode Cloud (Workflows, Build Runs, Artifacts)、 Alternative Distribution (EU マーケットプレイス / Web Distribution)、 Game Center (Achievements, Leaderboards, Challenges)、Analytics / 診断レポート。
Apple グラフィックスフレームワークリファレンス。 Metal, Core Animation, Core Graphics, Core Image, SpriteKit, SceneKit。 MTLDevice, MTKView, MTLBuffer, MTLTexture, Metal 4 (MTL4CommandQueue, MTL4CommandBuffer, MTL4ArgumentTable), CALayer, CABasicAnimation, CADisplayLink, CAMetalDisplayLink, CAMetalDrawable, CGContext, CGPath, CGImage, CIFilter, CIContext, CIImage, CIRAWFilter, CIWarpKernel, CIBlendKernel, SKScene, SKSpriteNode, SKAction, SCNNode, SCNGeometry, SCNMaterial。
Claude Agent SDK (code.claude.com/docs/en/agent-sdk) の TypeScript / Python リファレンス。 query(), ClaudeAgentOptions / Options, custom tools (in-process MCP), createSdkMcpServer, hooks, permissions (canUseTool), subagents, sessions (resume / fork), streaming, structured outputs, slash commands, tool search, hosting / observability。
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。
Android アプリ開発 (Kotlin) のプラットフォーム基盤リファレンス。 Activity, Intent, Application, ContentProvider, AndroidManifest, androidx, ランタイム権限, NotificationCompat, WindowInsets, スプラッシュスクリーン, Glance ウィジェット。
Apple SwiftUI 宣言的 UI フレームワークリファレンス。 View, VStack, HStack, ZStack, List, NavigationStack, TabView, State, Binding, Bindable, Environment, EnvironmentObject, sheet, fullScreenCover, modifier, animation, withAnimation, Animation, Transition, matchedGeometryEffect, PhaseAnimator, KeyframeAnimator。
Wear OS (Kotlin) の androidx.wear API・Watch Face Format (WFF) リファレンス。 Wear Compose の CurvedLayout, rotary input, ambient mode, ScalingLazyColumn。 Tiles / ProtoLayout, ComplicationDataSourceService と ComplicationData 型, Health Services (MeasureClient, ExerciseClient, PassiveMonitoringClient), WFF の XML 要素・式・コンプリケーションスロット・ユーザー設定。
Biome (Rust 製の高速 JavaScript / TypeScript フォーマッター・リンター) リファレンス。 biome.json 設定、biome check / lint / format コマンド、ルール、suppressions、 ESLint / Prettier からの移行、import 整理、CI 連携、monorepo 対応。
AMD ROCm / HIP GPU コンピューティングリファレンス。 hipMalloc, hipLaunchKernelGGL, HIP Graph, HIPRTC, hipify, rocBLAS, MIOpen, RCCL, rocprofv3, amd-smi, rocminfo, CDNA1-4 / RDNA1-4, MI300 / MI350, gfx942, Matrix Core, wave32/64。
Chakra UI v3 (React コンポーネントライブラリ) リファレンス。 別名: Chakra, chakra, chakra-ui。 コンポーネント (Button, Input, Modal, Drawer, Toast, Menu, Tabs, Tooltip 等)、 レイアウト、フォーム、オーバーレイ、チャート、テーマ、レシピ、 スタイルプロップ、レスポンシブ、ダークモード、Chakra UI Pro ブロック。
Turn character reference images into reusable, rigged voxel 3D assets for Blender and Three.js through an imagegen turnaround and user-approval workflow. Use when Codex needs to preserve a character's likeness across front, side, and back views; create or revise Minecraft-like cube-headed models; prevent missing rear hair or clothing; split features between block geometry and face/clothing textures; generate GLB and editable .blend files; add walk/smash-compatible rigid-part pivots; or diagnose why a voxel conversion is not recognizable.
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。
Word文書(.docx)をMarkdownに変換し、参考文献を整理するスキル。「Wordをマークダウンに変換して」「docxをmdに変換して参考文献を整理して」「Word文書の参考文献を統合して」「レポートをMarkdownに変換して」などのリクエスト時に使用。pandoc(またはpython-docxフォールバック)による変換と、重複URL統合・番号再割当て・参考文献リスト生成・文書構造整形を行う。
Create an aggregated Epic PR from a `cc-epic-<Issue number>` branch to the default branch. Takes the Epic Issue number as argument, assumes sub-PRs have already been merged into the epic branch, and automatically generates the PR title and description from the commit log against the base branch (including sub-PR / sub-Issue references). The PR is posted via `gh pr create` with no label and `Closes #<Epic Issue>`.
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。
Survey related literature for a research topic or paper draft. Finds relevant papers, identifies citation gaps, and suggests key references. Use for "find related work", "survey papers on X", "what papers should I cite". 旧名 survey-literature。
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。
Predicts protein-coding gene structures (exons, introns, UTRs) in eukaryotic genomes with BRAKER3 (RNA-seq + protein evidence), BRAKER1/BRAKER2, GALBA (protein-only), Funannotate (fungi), GeMoMa (homology projection), or Helixer/Tiberius (deep-learning ab initio). Covers the evidence-first tool decision, mandatory soft-masking, the training-set-quality-dominates principle, OrthoDB clade-partition selection, the one-isoform-per-locus and missing-UTR traps, merge/split errors, and reference bias against orphan genes. Use when annotating a newly assembled eukaryotic genome, choosing a gene-prediction pipeline based on available evidence, or diagnosing a poor annotation.
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。
Orders and orients assembled contigs into chromosome-scale scaffolds from long-range linking data, inserting N-gap spacers (adds no sequence). Covers Hi-C/Omni-C scaffolding (YaHS, SALSA2, 3D-DNA/Juicer), Hi-C read-mapping prerequisites (map each end separately, no mate rescue, dedup, enzyme-aware), reading the contact map for misjoins/inversions/false-duplications, manual curation in Juicebox/PretextView (the VGP/DToL standard), reference-guided scaffolding (RagTag) and its karyotype-erasure hazard, genetic-map (ALLMAPS) and Bionano optical-map integration, chimera-breaking before scaffolding, gap-filling, and telomere/contig-vs-scaffold-N50 QC (tidk). Use when turning contigs into chromosomes with Hi-C, integrating a linkage map or optical map, choosing a scaffolder by available linking data, or judging whether a chromosome-scale assembly is trustworthy.
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。
Evaluates genome assembly quality across the three orthogonal axes - contiguity (QUAST auN/NG50/NGx, not bare N50), completeness (BUSCO/compleasm gene-space plus Merqury k-mer completeness), and correctness (reference-free Merqury QV, Inspector/CRAQ structural errors, asmgene false-duplication/collapse). Covers why N50 is the most-gamed metric, why QV measured on the polishing reads is circular, distinguishing uncollapsed haplotigs from real WGD, and the EBP/VGP 6.C.Q40 standard. Use when judging whether an assembly is good enough to annotate or publish, comparing assemblers, diagnosing a fragmented or duplicated assembly, or assessing a phased diploid assembly.
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 UniProt's REST API (post-2022 endpoint at rest.uniprot.org) for protein sequences, annotations, GO terms, cross-references, ID mappings, and proteomes. Use when fetching UniProtKB entries, navigating the JSON schema, choosing between UniProtKB/UniRef/UniParc/Proteomes resources, deciding stream vs search endpoint for batch retrieval, running ID-mapping jobs with the async pattern, handling isoform suffixes, or filtering reviewed Swiss-Prot vs auto-annotated TrEMBL. Encodes the legacy URL migration (2022), the new JSON schema layout, and bulk-pull 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。