「nes」の検索結果

Sets up a Power Platform Pipeline for automated Power Pages deployments. Power Platform Pipelines is Microsoft's native CI/CD tool built into the Power Platform — no external infrastructure required. Use when asked to: "set up ci/cd", "create pipeline", "setup pipeline", "set up power platform pipelines", "create power pipelines", "automate deployments", "set up automated deployment", "create deployment pipeline", "use power pipelines". Also handles: "set up github actions" or "set up azure devops pipeline" (shows coming-soon guidance for those platforms).

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 anime-style video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants anime, Japanese animation style, shonen action, seinen drama, magical girl, mecha, isekai, slice-of-life anime, or any Japanese animation aesthetic. Triggers on: anime, Japanese animation, shonen, seinen, manga style video, anime fight, anime opening, anime ending, sakura, chibi, kawaii, mecha, isekai, or any anime-style request. Use even for "make it look like an anime" or "Japanese cartoon style.

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 SOX IT General Controls (ITGC) advisor for finance, internal audit and IT compliance teams. Covers the four ITGC domains external auditors test for SOX 404 — access to programs and data, program changes, computer operations, and program development — plus scoping in-scope systems from the financial statements, designing risk-and-control matrices (RCMs), writing control narratives and test scripts, evaluating deficiencies (control deficiency vs significant deficiency vs material weakness under AS 2201 and Reg S-X), drafting remediation plans, SOX 404(a)/404(b) applicability and filer status, IPO readiness timelines, and COSO 2013 alignment. Use this skill whenever a user mentions SOX, ITGC, IT general controls, 404(a)/404(b), ICFR, material weakness, user access reviews, segregation of duties in IT, change management controls for financial systems, SOX testing or walkthroughs, PCAOB audits, or quarterly compliance for financial reporting 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。

Act as experienced opposing counsel to attack, undermine, and expose weaknesses in a legal argument, submission, witness statement, or structured reasoning. Produces a six-part adversarial analysis: 1. A core theory of attack identifying the single most effective way to defeat the argument; 2. A reconstructed version of the opposing argument stripped of rhetoric to expose its fragility; 3. Primary lines of attack grouped by category (legal misstatement, evidential gaps, causation failures, internal inconsistency, over-reliance on assertion, procedural weakness); 4. An "if I were the judge" section showing how a sceptical tribunal would dismantle the argument; 5. Surgical strikes - 3 to 5 high-impact points ready for oral submissions; and 6. An analysis of what the argument is trying to hide. Written in formal, adversarial British English for a legally trained audience.

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。

Official GSAP skill for timelines — gsap.timeline(), position parameter, nesting, playback. Use when sequencing animations, choreographing keyframes, or when the user asks about animation sequencing, timelines, or animation order (in GSAP or when recommending a library that supports timelines).

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 and extract data from Chinese identity documents for KYC (Know Your Customer) compliance. Adapts the original kyc-doc-parse skill for Chinese ID cards, business licenses, and domestic compliance requirements. Triggers on "A股KYC", "身份文件解析", "parse Chinese ID", "KYC document", "客户身份识别", or "extract [document type]".

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 package aims to integrate GWAS-derived SNPs and coexpression networks to mine candidate genes associated with a particular phenotype. For that, users must define a set of guide genes, which are known genes involved in the studied phenotype. Additionally, the mined candidates can be given a score that favor candidates that are hubs and/or transcription factors. The scores can then be used to rank and select the top n most promising genes for downstream experiments.

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 knowledge for SAP HANA on Azure Large Instances development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying HANA LIs, Azure Monitor for SAP, HA/DR clusters, Terraform/SDAF automation, or Entra ID SSO, and other SAP HANA on Azure Large Instances related development tasks. Not for Azure Large Instances (use azure-large-instances), Azure Virtual Machines (use azure-virtual-machines), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).

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 knowledge for Azure Migrate development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when sizing and migrating VMs/SQL/PostgreSQL, configuring appliances/Arc, using AppCAT/CAST, or Private Link, and other Azure Migrate related development tasks. Not for Azure Database Migration Service (use azure-database-migration), Azure Site Recovery (use azure-site-recovery), Azure Virtual Machines (use azure-virtual-machines), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).

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 knowledge for Azure Pipelines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring YAML pipelines, agents, service connections, Key Vault secrets, deployments to Web Apps/Kubernetes, or GitHub-hosted agents, and other Azure Pipelines related development tasks. Not for Azure DevOps (use azure-devops), Azure Boards (use azure-boards), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).

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 knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when managing DSVM images/tools, IaC deployment (Bicep/ARM), Key Vault secrets, MLflow, or GPU/Jupyter issues, and other Azure Data Science Virtual Machines related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Machine Learning (use azure-machine-learning), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).

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 knowledge for Azure Business Process Tracking development including deployment. Use when creating CI/CD pipelines, automating builds, running tests, and deploying tracking solutions via DevOps tools, and other Azure Business Process Tracking related development tasks. Not for Azure Monitor (use azure-monitor), Azure Logic Apps (use azure-logic-apps), Azure Data Factory (use azure-data-factory), Azure Machine Learning (use azure-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。

Build and execute brand marketing strategy for B2B companies — thought leadership, ABM brand layer, trust signals, LinkedIn presence, long sales cycle brand touchpoints, and enterprise credibility. Use when the user says "B2B marketing", "B2B brand", "business to business marketing", "selling to companies", "enterprise marketing", "we sell to businesses", "B2B brand strategy", "thought leadership strategy", "B2B content marketing", "account-based marketing brand", "B2B positioning", "how do we build trust with buyers", or is marketing a product or service sold to other businesses rather than consumers.

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, evaluate, and A/B test email subject lines for maximum open rates. Includes formulas for curiosity, urgency, personalization, and more. Trigger phrases: "email subject line", "subject line ideas", "email subject", "write subject lines", "A/B test subject lines", "improve open rates", "email open rate", "subject line formulas".

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。

Kernel-version skew check (ADR-027). Reports manifest surface + manifest kernel + installed kernel + verdict (match/patch-diff/minor-diff/major-diff). Exits 1 on minor/major skew with a copy-pasteable `npm install @metaharness/kernel@X.Y.Z` next step. Exits 2 if no .harness/manifest.json at path.

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 a ready-made AI agent harness in one command from the 19 published @metaharness/* example packages — 9 host integrations (Claude Code, Codex, Hermes, pi.dev, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions) + 10 vertical pods (devops, research, trading, support, legal, coding, education, sales, gaming, repo-maintainer).

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。

7-section readiness scorecard for a LOCAL repo. Reports repo type + agent topology + MCP risk + test confidence + release readiness + recommended harness plan + scorecard. Exit 0 ready, 1 needs-work, 2 blocked. --json for the 6-field scorecard, --bundle for the ADR-031 schema-1 envelope.

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。

Emit .harness/oia-manifest.json declaring layer alignment with the OIA v0.1 9-layer reference architecture. Self-describes the harness's MCP wiring, witness signing, audit log, identity posture (always 'none' at v0.1). --check verifies an existing manifest, --dry-run prints without writing, --json emits to stdout.

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。

Publish a generated harness to npm — runs the smoke test, signs the witness manifest, and dispatches `npm publish --provenance` from your tagged release.

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 the user needs to choose and stand up marketing channels and the tech behind them — channel selection scoring, platform-by-platform setup checklists, business account and verification steps, and integrations, with region priorities: US Meta plus Google plus LinkedIn, EU adding Xing, SEA adding TikTok, Shopee, Lazada and LINE, LATAM adding WhatsApp Business and Mercado Libre. Trigger on 'channel setup', 'which platforms should we be on', 'set up Google Business Profile', 'marketing tech stack', 'we are starting from zero on social', 'connect our accounts'. Not for — conversion tracking and pixels, see `53-tracking-setup-global`; ad account hierarchy, see `52-account-structure-global`; the posting plan once channels exist, see `01-content-calendar-global`.

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。

将基于旧版Nest库（1.x）的C#代码迁移升级到新版Nest库（7.17.5），涵盖API变更、查询语法重构、Source过滤、聚合更新及MultiSearch逻辑重写。

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。

Detailed completeness audit of all project documents. Use when someone asks "are we ready for production", "audit our docs", "readiness check", "nfr tracker", or "what's missing". Do NOT use for a quick command listing — use /pmstudio instead. Scans every document for section-level completeness, reports staleness, and gives prioritized gap-closure recommendations.

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。

Configure structured logging with Pino, Prometheus metrics, and health checks for NestJS services. Use when adding JSON logging, request tracing with correlation IDs, Prometheus metric endpoints, or liveness/readiness health checks.

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 and maintain repo-docs with Chinese as the primary reader language while preserving source identifiers for lookup. Use when the user asks for Chinese repo docs, mentions repo-docs-zh, wants repo documentation in Chinese, or wants an existing repo-docs package localized for Chinese readers.

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。