「ax」の検索結果

Expert en Ansible (playbooks, roles, inventory, Galaxy, configuration idempotente)

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 audit d'accessibilité (WCAG 2.2, axe-core, Lighthouse, screen readers, keyboard navigation)

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。

Accessibility auditor v3 — WCAG 2.2, axe-core, Lighthouse, manual testing, RGAA

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。

Accounting Specialist IA — Expert en comptabilité (bookkeeping, tax DZ, invoicing, CCP, facturation algérienne)

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。

Guide for optimizing MSBuild build parallelism and multi-project scheduling. Only activate in MSBuild/.NET build context. USE FOR: builds not utilizing all CPU cores, speeding up multi-project solutions, evaluating graph build mode (/graph), build time not improving with -m flag, understanding project dependency topology. Note: /maxcpucount default is 1 (sequential) — always use -m for parallel builds. Covers /maxcpucount, graph build for better scheduling and isolation, BuildInParallel on MSBuild task, reducing unnecessary ProjectReferences, solution filters (.slnf) for building subsets. DO NOT USE FOR: single-project builds, incremental build issues (use incremental-build), compilation slowness within a project (use build-perf-diagnostics), non-MSBuild build systems. INVOKES: binlog MCP server tools (expensive_projects, expensive_targets, project_target_times); falls back to dotnet build -m, dotnet build /graph, binlog replay + grep.

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 in JAX for high-performance numerical computing and machine learning

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 the changes since a fixed point (commit, branch, tag, or merge-base) along two axes - Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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。

Generate Japanese Excel files (.xlsx) using openpyxl with Japanese fonts, currency formatting (¥), Japanese era calendar (和暦), tax calculation, and business templates. Triggers on requests to create Excel帳票, 見積書Excel, 請求書xlsx, 勤怠管理表, 日本語スプレッドシート.

Orchestrate iOS screenshot automation with xcodebuild/simctl for build-run, AXe for UI actions, JSON settings and plan files, Koubou-based framing (`asc screenshots frame`), and screenshot upload (`asc screenshots upload`). Use when users ask for automated screenshot capture, AXe-driven simulator flows, frame composition, or screenshot-to-upload 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。

This skill should be used when the user asks to "identify web application vulnerabilities", "explain common security flaws", "understand vulnerability categories", "learn about injection attacks", "review access control weaknesses", "analyze API security issues", "assess security misconfigurations", "understand client-side vulnerabilities", "examine mobile and IoT security flaws", or "reference the OWASP-aligned vulnerability taxonomy". Use this skill to provide comprehensive vulnerability definitions, root causes, impacts, and mitigation strategies across all major web security categories.

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。

UI and UX design intelligence for building and reviewing interfaces.

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。

PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.

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。

Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis.

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。

Accessibility automation: production-level axe audits and manual keyboard checks. Use when implementing, reviewing or testing accessibility automation for React, Vite, Next.js or Perfect_AI projects.

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。

Systematically collects, categorizes, and distributes indicators of compromise (IOCs) during and after security incidents to enable detection, blocking, and threat intelligence sharing. Covers network, host, email, and behavioral indicators using STIX/TAXII formats and threat intelligence platforms. Activates for requests involving IOC collection, indicator extraction, threat indicator sharing, compromise indicators, STIX export, or IOC enrichment.

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。

Builds automated threat intelligence feed integration pipelines connecting STIX/TAXII feeds, open-source threat intel, and commercial TI platforms into SIEM and security tools for real-time IOC matching and alerting. Use when SOC teams need to operationalize threat intelligence by automating feed ingestion, normalization, scoring, and distribution to detection systems.

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。

End-to-end 16S/ITS amplicon workflow from demultiplexed FASTQ to a consensus differential-abundance result, orchestrating cutadapt primer removal, per-run DADA2 ASV inference (learnErrors/mergeSequenceTables/removeBimeraDenovo), region-matched taxonomy assignment, a SEPP/Greengenes2 tree, alpha/beta diversity at a declared sampling depth (phyloseq/vegan, adonis2 paired with betadisper), compositional DA as a consensus of >=2 tools (ALDEx2/ANCOM-BC2) on unrarefied counts, and optional PICRUSt2 functional prediction gated on NSTI. Covers the stage-ordering decisions (primers before truncation, per-run error model, rarefy for diversity not DA, predicted potential not activity) and defers each per-step choice to the six microbiome skills. Use when staging an amplicon study end to end or chaining ASV inference, taxonomy, diversity, and differential abundance. For shotgun reads see workflows/metagenomics-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。

Runs and configures curated nf-core community Nextflow pipelines (rnaseq, sarek, atacseq, methylseq, ampliseq, taxprofiler, fetchngs) reproducibly, pinning the pipeline revision with -r and selecting a container engine and institutional config via -profile. Use when deciding to adopt a community pipeline versus author one from scratch; picking a pipeline and pinning its -r revision; selecting -profile test/docker/singularity/conda plus an institutional config from nf-core/configs; building and validating a samplesheet CSV against the pipeline schema (nf-schema); choosing --genome/iGenomes versus custom references; configuring resources and max_memory for SLURM/AWS Batch; using -resume and -stub; and reading MultiQC outputs.

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。

Pharmacokinetic (PK) analysis of concentration-time data — non-compartmental analysis (NCA) for Cmax, Tmax, AUC (0-t and 0-∞), terminal half-life, clearance (CL), volume of distribution (Vd), MRT, and absolute bioavailability (F). Also one-compartment fitting. Use when you have plasma/serum drug concentrations over time after a dose and need PK parameters, or to compute bioavailability from IV + oral AUCs. NOT for ADMET property prediction from structure (use tooluniverse-admet-prediction).

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。

Cross-chain interoperability for Stellar. Entry point with a rail-selection decision table and shared pitfalls, routing to two companion files — cctp.md (Circle CCTP V2, native USDC burn-and-mint between Stellar and EVM/Solana chains, domain 27, the CctpForwarder requirement for Stellar recipients) and axelar.md (Axelar GMP for Soroban contracts calling contracts on other chains, and the Interchain Token Service for multichain tokens). Also covers NEAR Intents (intent-based cross-chain swaps into XLM or Stellar USDC) at the routing level. Use when bridging USDC to or from Stellar, sending messages between a Stellar contract and another blockchain, making a token exist on multiple chains, or adding cross-chain swaps to an app.

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。

Accessibility testing toolkit using Selenium WebDriver 4+ with Java 21+ and axe-core engine. Use when asked to validate WCAG 2.1/2.2 compliance, scan pages or components for a11y violations, test keyboard navigation, audit color contrast, check ARIA semantics, generate accessibility reports, filter axe rules, debug screen reader issues, or implement POUR principles (perceivable, operable, understandable, robust).

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。

Accessibility testing for web applications using Playwright (@playwright/test) with TypeScript and axe-core. Use when asked to write, run, or debug automated accessibility checks, keyboard navigation tests, focus management, ARIA/semantic validations, screen reader compatibility, or WCAG 2.1 Level AA compliance testing. Covers axe-core integration, POUR principles (perceivable, operable, understandable, robust), color contrast, form labels, landmarks, and accessible names.

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。

Windows アプリ開発 (Fluent Design / WinUI 3) の デザインガイドラインリファレンス。 layout, spacing, alignment, elevation, geometry, breakpoints, Color, Mica, Acrylic, Smoke, Reveal Highlight, materials, typography, Segoe Fluent Icons, app icons, motion, easing, connected animation, page transitions, parallax, reduce motion, NavigationView, TabView, CommandBar, menus, keyboard accelerators, access keys, accessibility, high contrast, RTL, globalization, widgets design。

Kubb (OpenAPI / Swagger コードジェネレーター) リファレンス。 kubb.config.ts、OpenAPI から TypeScript 型・TanStack Query フックを生成するコード生成プラグイン・ Zod スキーマ・MSW モック・Faker・Axios / SWR / React Query クライアント生成。 プラグインベース、モノレポ対応。 parser-ts / parser-md パーサー、adapter-oas アダプター、Kit API・diagnostics。 TanStack Query 本体の API は tanstack-query スキル。