「lab」の検索結果

Designs and analyzes stable-isotope-resolved metabolomics (SIRM / isotope tracing / fluxomics) experiments that measure metabolic ACTIVITY via 13C/15N/2H tracers, distinct from steady-state pool profiling. Covers tracer choice, isotopologue vs isotopomer, mass-isotopomer distributions (MID), fractional enrichment, the mandatory natural-abundance + tracer-purity correction (IsoCor, AccuCor), and the metabolic/isotopic steady-state vs non-stationary (INST-MFA) distinction. Use when feeding a labeled tracer and interpreting labeling patterns, correcting raw isotopologue intensities, computing or plotting an MID, or deciding tracing vs abundance profiling. For absolute pool concentration and MRM mechanics see metabolomics/targeted-analysis; for constraint-based genome-scale flux (FBA, not empirical tracing) see systems-biology/flux-balance-analysis; for feature detection see metabolomics/xcms-preprocessing; for pathway enrichment that ignores the pool-vs-flux caveat see metabolomics/pathway-mapping.

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Generate a PDF packing slip and a PNG shipping label from the same order data in a single fulfillment workflow.

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Generate a branded PDF report with custom client logo placeholder, colors, and content sections for white-label agency delivery.

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Generate a compact PDF shipping label with sender and recipient addresses, barcode, and tracking number.

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Loads, reloads, and reshapes the map on a running CARLA server via the Python API — get_available_maps, load_world and reload_world (with or without resetting world settings), generate a world from an OpenDRIVE .xodr, and load/unload map layers. Use when the user asks to "load a map", "change the town", "reload the world", "list available maps", "load an xodr/opendrive map", or "load/unload map layers", and when settings (sync mode, fixed delta) must survive the switch.

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Zod (TypeScript-first スキーマバリデーションライブラリ) v4 リファレンス。 z.object / z.string / z.number / z.array / z.union / z.enum 等のスキーマ定義、 parse, safeParse, z.infer (型推論)、refine, transform, pipe、 default, optional, nullable、z.compile (AOT)・validate、z.toZod、 エラー処理、Zod 4 移行・Zod Mini (@zod/mini)。 createInsertSchema / createSelectSchema (drizzle-zod、Drizzle テーブルからのスキーマ生成) は別スキル drizzle。

OpenAI Codex (CLI / IDE / cloud / ChatGPT desktop app) リファレンス。 GPT-6 系, Fast / Ultrafast mode, codex exec, スラッシュコマンド, prompting, AGENTS.md, rules, subagents, approvals, auto-review, sandbox, permission profiles, profiles, config.toml, 環境変数, roles, MCP 設定, GitHub Action, Codex SDK, App Server (JSON-RPC), Agents SDK 連携, Codex skills (.agents/skills), plugins, scheduled tasks, Browser, Computer Use, cloud / local / worktree 環境, git worktrees, Record & Replay, cloud 委譲, GitHub / GitLab / Linear / Slack 連携, administration, provisioning, analytics API, compliance API, LLM gateway, Codex Security 脆弱性スキャン (SARIF), deep scan, triage, findings, threat model, security hardening。

Playwright v1.64 (E2E / コンポーネントテストフレームワーク) リファレンス。 test, expect, page, locator, getByRole / getByText / getByLabel / getByTestId / getByRef、 toBeVisible, click, fill, route, mock, fixtures、playwright.config.ts、 auth 永続化、Credentials (passkeys / WebAuthn)、WebStorage、WebMCP、 Playwright MCP / playwright-cli、trace viewer、screencast、test locks、codegen、UI モード。

Echo (LabStack) v5 — Go Web framework リファレンス。routing（Group）、echo.Context、 Bind、Validator、HTTPError、HTTPErrorHandler、RFC 9457 Problem Details、 middleware（JWT, CORS, CSRF, BasicAuth, Gzip, Recover, Logger, RateLimiter）、 OpenTelemetry (echo-otel)、IPExtractor、SchemeExtractor、Renderer、WebSocket、SSE、 AutoTLS 実装例。

Claude Code (code.claude.com) デプロイ・CI/CD リファレンス。 Amazon Bedrock / Google Cloud Agent Platform (Vertex AI) / Microsoft Foundry / Claude Platform on AWS、 Claude apps gateway、LLM gateway (protocol / rollout)、 GitHub Actions (claude-code-action) / GitLab CI/CD / GitHub Enterprise Server (GHES)、 Code Review (REVIEW.md・review level・@claude review always・コスト・トラブルシュート)、 ローカル /code-review、ultrareview (claude ultrareview)、 Slack (Claude Tag、旧 Claude Code in Slack、Pro/Max)、 headless mode、cloud environments、devcontainer、 self-hosted environments（runner 構成・identity 検証・本番デプロイ）。

UIKit iOS/iPadOS UI フレームワーク。 UIViewController, UINavigationController, UITabBarController, UISplitViewController, UIView, UILabel, UIButton, UITextField, UIScrollView, UIStackView, UITableView, UICollectionView, diffable data source, NSDiffableDataSourceSnapshot, UICollectionViewCompositionalLayout, Auto Layout, NSLayoutConstraint, NSLayoutAnchor, UILayoutGuide, intrinsicContentSize。 UIArrangementViewController, UISplitArrangement, UIOverlayArrangement, UIView.ReservedRegion, UIHingeInteraction, 縦軸バー, iPhone Duo adaptive layout (iOS 27.1+), scene-based life cycle 移行, UISceneAccessory。SwiftUI ArrangementView とは別 API。

Apple データ永続化・データフロー・ネットワーク・ユーティリティリファレンス。SwiftData / Core Data / Foundation / Combine。 @Model, ModelContainer, ModelContext, @Query, Predicate, FetchDescriptor, SectionedResults, ResultsObserver, NSManagedObject, NSFetchRequest, NSFetchedResultsController, NSPersistentContainer, NSPersistentCloudKitContainer, NSStagedMigrationManager, URLSession, JSONDecoder, JSONEncoder, Publisher, sink, Future, AsyncPublisher, @Published, AnyCancellable

直近N日（デフォルト1日）にマージされた `cc-ui-design` ラベル付きPR（UIデザインPR）から確定したビジュアルアイデンティティ（カラー・タイポグラフィ・スペーシング・コンポーネント）をリポジトリルートの `DESIGN.md`（google-labs-code/design.md フォーマット）へ集約・更新し、`design.md` CLI の lint を通してから commit-push + create-pr でPRを作成する（`cc-triage-scope` ラベル + 自分自身をAssignee）。`DESIGN.md` は pencil-design-updater がデザイン時の前提として読み込む。

Add, change, or translate user-facing text in the Lyrion Dashboard, which ships bilingual FR/EN. Use this whenever a task introduces a new visible string (a label, tooltip, aria-label, empty state, stat name), changes wording, or touches the README or a `docs/` page — so every string lands in both languages and the EN/FR documentation pairs stay in sync. Covers `i18n.py`, how templates and JS consume translations, and the parity rule.

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Interactive cell annotation and image QC for IMC/MIBI using napari, napari-imc, Mantis Viewer, and cytomapper, covering the pixels-to-cell-table bridge, overlaying masks to catch segmentation/spillover artifacts, inter-annotator variability as the accuracy ceiling, contrast-as-threshold, and building class-balanced ground-truth label sets. Use when manually labeling cells, generating training data for a classifier, QC-ing segmentation on the image, confirming clusters are spatially real, or choosing an annotation viewer.

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Computes and interprets sequencing read depth and coverage over a genome, windows, or target regions with mosdepth (windowed depth, cumulative distribution, --quantize callable BEDs), bedtools genomecov/coverage (bedGraph tracks, per-target stats), samtools depth/coverage (per-base depth, per-contig depth+breadth). Covers the breadth-vs-mean distinction, the cumulative-coverage curve, evenness (CV/Fano/fold-80/Gini), what each tool silently counts (duplicates, secondary/supplementary, MAPQ, read span vs fragment, mate-overlap), the samtools-depth 8000-cap version trap, and the bedtools coverage -a/-b orientation flip. Use when assessing sequencing adequacy, building coverage tracks, computing breadth at a depth threshold, defining callable regions, or QCing target-capture uniformity.

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Infer or annotate TCR antigen specificity by unsupervised clustering (TCRdist/tcrdist3, GLIPH2, clusTCR, GIANA) and database lookup (VDJdb, IEDB, McPAS-TCR), and rank candidates with supervised predictors (ERGO-II, NetTCR-2.x, pMTnet) under explicit caveats. Encodes the central truth that general TCR-epitope prediction for UNSEEN epitopes essentially does not work (collapses to near-random; IMMREP22, Grazioli 2022) because labeled data is dominated by a few immunodominant epitopes and there is no true negative set — so clustering for discovery is the honest task and de-novo binding needs wet-lab validation. Use when annotating TCR specificity or grouping a repertoire. Epitope/MHC context lives in mhc-binding-prediction.

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Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.

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Triage GitHub issues by applying type, effort, priority, and area labels. Runs in an isolated context to avoid polluting the main conversation with issue details. Delegates to a specialized triage agent with label validation hooks.

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Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"

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Improve UX writing, marketing copy, labels, microcopy, instructions, and error messages so interfaces and product messaging are easier to understand and act on. Use when the user mentions confusing copy, unclear labels, bad error text, weak CTAs, hard-to-follow instructions, or wanting better UX writing.

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Implement real-time features using Convex reactive queries that automatically update when data changes, enabling live collaboration, instant updates, and reactive UIs without manual polling. Use when building live dashboards, implementing collaborative editing, creating chat applications, showing real-time notifications, building activity feeds, implementing presence indicators, creating reactive search, or any feature requiring instant data synchronization across clients.

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Design scalable, normalized database schemas with proper relationships, indexes, constraints, and migration strategies for relational and NoSQL databases. Use when designing database schemas, planning table relationships and foreign keys, creating indexes for query optimization, defining constraints and validations, designing data models for scalability, planning database migrations, choosing between SQL and NoSQL, implementing sharding strategies, optimizing query performance, or establishing data integrity rules.

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Manage source control effectively with Git including branching strategies, commit conventions, merge conflict resolution, rebasing, and collaboration workflows like GitHub Flow or GitFlow. Use when managing feature branches, creating meaningful commits, resolving merge conflicts, rebasing branches, squashing commits, using interactive rebase, implementing branch naming conventions, following commit message standards, managing pull requests, or collaborating in team environments.

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。