「sca」の検索結果

Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads

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 cataloging or annotating visible construction in photographs or scan RGB, especially before registration or while the base model may be replaced.

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。

Collect and verify Google Street View exterior references for a building reconstruction, preserving panorama identity, imagery dates, attribution and viewpoint separately from calibrated scan evidence.

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。

Expert-level guidance for Flutter production applications: architecture decisions (Clean/Layered/Hexagonal/Feature-First), advanced state management (BLoC/Riverpod/GetX), performance optimization (eliminating jank, memory profiling, reducing rebuild overhead), code review with design pattern enforcement, scalability assessments, native platform integration (MethodChannel/EventChannel/FFI), complex UI challenges (custom render objects, slivers), testing strategies (unit/widget/integration/golden), CI/CD pipeline architecture, build optimization, and accessibility compliance. Triggers: 'architecture decision', 'design pattern', 'performance issue', 'code review', 'production problem', 'scaling concerns', 'best practices', 'technical debt', 'refactoring strategy'. Essential for complex enterprise apps, critical production debugging, architectural refactors, or when choosing between competing technical approaches.

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。

Implements data visualization charts in Flutter using the fl_chart package (v1.2.0). Supports LineChart, BarChart, PieChart, ScatterChart, RadarChart, and CandlestickChart with implicit animations, touch interactivity, and pan/zoom transformations. Use when building any Flutter chart, graph, or data visualization — including line graphs for trends, bar charts for comparisons, pie/donut charts for proportions, scatter plots for distributions, radar charts for multi-axis comparisons, or candlestick charts for financial OHLC data. Also use when customizing chart axes, titles, tooltips, grid lines, touch callbacks, chart animations, or chart zoom/pan behavior.

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 when the user asks to \\\"analyze competitors", "assess competitive landscape", "identify differentiation", "evaluate market positioning", "apply Porter's Five Forces",...

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。

Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipeline...

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。

Scaffold project/workspaces, apply base structure and configs, and verify dev server startup gate

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。

Coordinate multi-layer security scanning and hardening across application, infrastructure, and compliance controls.

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。

Cascade approved evolution changes through downstream layers, assess impact, run consistency checks, and write evolution audit record

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。

Runbook skill for failures: cron error, PA failure, cascade, gateway disconnect, semantic DB stale. Walks: detect → classify → diagnose → notify → log. Replaces ad-hoc failure handling. Triggers: "cron failed", "X is broken", "cascade", "incident", "gateway down", "PA failure".

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 working with Aws Inspector — aWS Inspector vulnerability management and finding analysis. Covers Inspector v2 coverage, vulnerability findings, finding summaries, scan configurations, suppression rules, and coverage statistics. Use when auditing vulnerability posture, reviewing Inspector findings, checking scan coverage, or analyzing security vulnerabilities across EC2, ECR, and Lambda resources.

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 working with Aws App Runner — aWS App Runner service management and health analysis. Covers service inventory, deployment status, auto-scaling configurations, custom domain associations, VPC connector settings, and observability configurations. Use when inspecting App Runner services, debugging deployment failures, reviewing scaling behavior, or auditing service configurations.

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 working with Semgrep — semgrep static application security testing (SAST). Covers code scanning, custom rule creation, CI integration, autofix capabilities, multi-language support, and vulnerability triage. Use when scanning source code for security vulnerabilities, creating custom detection rules, or integrating SAST into CI pipelines.

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。

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

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。

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

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。

AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.

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。

Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z

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。

DevOps infra v2 — VPS, Docker, Coolify, CI/CD, monitoring, Tailscale

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。

Expert en sécurité des conteneurs (Trivy, Snyk, image scanning, SBOM, runtime security, DZ)

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。

Expert en génération d'images ComfyUI (workflows, nodes, models, inpainting, upscaling)

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。

Expert en création de cabinet de conseil (positioning, proposals, deliverables, pricing, scaling)

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。

Backend Node.js v2 — Express, NestJS, tRPC, WebSockets, scaling

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。

Expert en déploiement d'agents IA (containerisation, scaling, monitoring, versioning, A/B testing agents)

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。