「soft」の検索結果

Automated software development pipeline. Scans projects, prioritizes tasks, analyzes code, and orchestrates development loops. Zero dependencies (Python stdlib only).

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。

Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software.

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。

Microsoft AI, Cloud, Productivity, Computing, Gaming & Apps Explore Microsoft products and servi

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Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app crash from a tombstone, resolving native backtrace frames in libmonosgen-2.0.so or libcoreclr.so to .NET runtime source code, or investigating SIGABRT, SIGSEGV, or other native signals originating from the .NET runtime on Android. DO NOT USE FOR pure Java/Kotlin crashes, managed .NET exceptions that are already captured in logcat, or iOS crash logs. INVOKES Symbolicate-Tombstone.ps1 script, llvm-symbolizer, Microsoft symbol server.

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: implement a scoped ticket, fix a bug, add tests, prepare a PR-ready code change, or reuse a standard builder workflow across software engineer 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。

Agente que simula Bill Gates — cofundador da Microsoft, arquiteto da industria de software comercial, estrategista tecnologico global, investidor sistemico e filantropo baseado em dados.

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。

Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.

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。

bu skill covers Dağıt:ing Microsoft Sentinel as a cloud-native SIEM and SOAR platform for centralized security operations. It details configuring data connectors for multi-cloud log ingestion, writing KQL Tespit queries, building automated response playbooks with Logic Apps, and leveraging the Sentinel data lake for petabyte-scale threat hunting across AWS, Azure, and GCP security telemetry.

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。

Parse Office 365 Unified Audit Logs via Microsoft Graph API to tespit etme
email forwarding rule creation, inbox delegation, suspicious OAuth app grants, and other indicators of account compromise.

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。

Microsoft Learn の公式ドキュメントを調査し、正確で最新の情報を構造的にまとめるスキル。Azure サービスの仕様確認、機能比較、ベストプラクティスの調査に使用する。

Detect compromised O365 and Google Workspace email accounts by analyzing inbox rule creation, suspicious sign-in locations, mail forwarding rules, and unusual API access patterns via Microsoft Graph and audit logs.

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。

Detect cyber attacks targeting OT historian servers (OSIsoft PI, Ignition, Wonderware) that sit at the IT/OT boundary and serve as pivot points for lateral movement between enterprise and control networks, including data manipulation, unauthorized queries, and exploitation of historian-specific vulnerabilities.

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Establish a structured operational process to triage, test, and deploy Microsoft Patch Tuesday security updates within risk-based remediation SLAs.

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。

Parses Software Bill of Materials (SBOM) in CycloneDX and SPDX JSON formats to identify supply chain vulnerabilities by correlating components against the NVD CVE database via the NVD 2.0 API. Builds dependency graphs, calculates risk scores, identifies transitive vulnerability paths, and generates compliance reports. Activates for requests involving SBOM analysis, software composition analysis, supply chain security assessment, dependency vulnerability scanning, CycloneDX/SPDX parsing, or CVE correlation.

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。

Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.

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 covers deploying Microsoft Sentinel as a cloud-native SIEM and SOAR platform for centralized security operations. It details configuring data connectors for multi-cloud log ingestion, writing KQL detection queries, building automated response playbooks with Logic Apps, and leveraging the Sentinel data lake for petabyte-scale threat hunting across AWS, Azure, and GCP security telemetry.

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。

Parse Office 365 Unified Audit Logs via Microsoft Graph API to detect email forwarding rule creation, inbox delegation, suspicious OAuth app grants, and other indicators of account compromise.

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。

Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.

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。

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework

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End-to-end bulk time-course analysis from an expression matrix to temporal gene modules and per-cluster pathway enrichment. Orchestrates temporal DE (limma splines or DESeq2 LRT), Mfuzz/tslearn soft clustering of expression-profile shapes, GAM trajectory fitting, per-cluster GO enrichment against a temporal-gene background, and an OPTIONAL circadian rhythm-detection branch (MetaCycle/CosinorPy) that runs only when the design covers >=2 full cycles with >=6-8 evenly spaced samples per cycle. Use when analyzing a bulk time-series expression experiment from any omics platform and deciding limma-splines vs DESeq2-LRT for temporal DE, soft vs hard clustering, whether the sampling design even licenses rhythm detection, and which background to use for enrichment. Not for single-cell pseudotime (see temporal-genomics/trajectory-modeling for the bulk-vs-pseudotime boundary) or unknown-period discovery (see temporal-genomics/periodicity-detection).

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。

Authors reproducible bioinformatics pipelines with Snakemake - rules wired by output-file pattern, wildcards and expand() for sample fan-out, checkpoints for runtime-unknown outputs, resource/retry escalation, and conda/container software deployment on HPC and cloud. Use when deciding rule-based (Snakemake) vs channel/dataflow (Nextflow) authoring; wiring rules by OUTPUT-file pattern rather than imperative order; using wildcards + expand() for sample fan-out and constraining them to stop silent mis-routing; adding checkpoints when the set of outputs is unknown until a step runs (dynamic DAG); diagnosing why a job reran (or did not) under the mtime-plus-provenance trigger set; escalating memory on retry for OOM-killed jobs; and porting a Snakemake 7 `--cluster`/remote-provider command to the Snakemake 8+ executor-plugin and storage-plugin model (snakemake-executor-plugin-slurm) with `--software-deployment-method`.

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。

Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting. USE THIS SKILL WHEN: - You are reviewing housing management software or tenant management systems - Someone asks about Section 8, LIHTC, or public housing program compliance - You need to audit unit allocation algorithms for fairness or bias - A project involves waitlist management, income verification, or rent calculations - You are evaluating HUD compliance (50058, EIV, PIC submissions) - Someone mentions Fair Housing, reasonable accommodation, or protected class handling - You need to review HQS/NSPIRE inspection tracking or abatement workflows - A codebase handles tenant eligibility, subsidy calculations, or housing vouchers TRIGGER PHRASES: "affordable housing", "Section 8", "LIHTC", "public housing", "waitlist management", "income verification", "Fair Housing", "HUD compliance", "rent calculation", "housing voucher", "tenant management", "HQS inspection", "unit allocation", "housing authority"

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 (MSIX / Microsoft Store) のパッケージング・配置・公開リファレンス。 MSIX, AppxManifest, MakeAppx, MSIX Packaging Tool, Package Bundles, App Attach, Package Support Framework, Package Identity, PackageFamilyName, PackageManager, スパースパッケージ, App Installer, サイドローディング, Windows App SDK Bootstrapper, 自己完結型デプロイ, SignTool, Azure Trusted Signing (Azure Artifact Signing), 証明書, CI/CD 署名, Partner Center, アプリ送信, 年齢レーティング, ストアリスティング, 段階的ロールアウト, StoreContext, msstore CLI, 認定プロセス, 分析レポート。