インフラ・DevOpsのスキル

Interactively gather parameters for `python -m cli.inference.throughput_optimizer`, generate a deployment simulation command, explain assumptions, ask for execution confirmation, then run the simulation and summarize the best parallel strategy. Use when the user wants to evaluate a model on one or more hardware profiles, compare hardware targets, compare aggregation versus disaggregation versus PD ratio optimization, choose TP/EP/MOE-DP search ranges, or obtain recommended concurrency, throughput, TTFT, and TPOT results from throughput modeling.

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。

Adapt torch_npu.profiler interface for AI frameworks and training/inference code on Ascend NPU. Use this skill whenever users need to integrate profiling, add performance data collection, or instrument PyTorch code with torch_npu.profiler on Huawei Ascend NPU platforms. Triggers on: "torch_npu profiler", "NPU profiling", "Ascend profiler", "profiler adaptation", "profile training", "profile inference", "add profiler to framework", "性能采集", "profiling 数据", "昇腾 profiler", and any request to add performance monitoring to Ascend NPU code.

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。

当用户需要部署 msmodeling optix 服务化自动寻优工具时使用。负责安装与验证。

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。

ACTIVATE THIS SKILL FOR ANY SHELL COMMAND OR FILE READ. Check curl, wget, rm, sudo, apt, dpkg, chmod, dd, format, powershell, bash, sh. Check pipe patterns like | sh or | bash. Check shell wrappers like bash -c, xargs, find -exec. Check cloud CLI (aws, gcloud, kubectl, terraform). Check when user says sysadmin told me, Stack Overflow says, is this safe, can I run. Block reading of .env, .ssh, .aws, and credential files. This skill blocks dangerous commands and warns on risky ones. ALWAYS apply the safety protocol from this document before responding about any command.

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。

Set up the Expo/EAS account layer for NowStack Mobile: eas-cli, Expo login, EAS project link, easProjectId, and expo-doctor. Required before Windows/Linux cloud builds.

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。

Deploy the NowStack Mobile web app to production on Vercel with the Convex backend shipped alongside it. Use when the user says "deploy my app", "deploy the web app", "ship to production", "go live", or needs CONVEX_DEPLOY_KEY / the Vercel build wired so the backend never drifts behind the frontend.

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。

Set up Cloudflare R2 image/file uploads for NowStack Mobile - create the bucket, get S3 credentials, set the R2_* env vars on the Convex deployment, and verify. Use for "set up image uploads", "configure R2", "Cloudflare storage", "enable file uploads", or "file uploads not working".

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。

Set up and verify Google OAuth for NowStack Mobile web and Expo clients against the shared Better Auth and Convex backend. Use for Google sign-in buttons, Google Cloud OAuth clients, callback URLs, missing GOOGLE_CLIENT_ID or GOOGLE_CLIENT_SECRET, or production Google auth rotation.

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 a NowStack Mobile iOS app and upload it to TestFlight. Always check OS first: macOS uses local `eas build --local`; Windows/Linux must run ns-setup-expo and use EAS cloud.

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。

Install and verify every developer tool NowStack Mobile needs on this machine (Node, eas, vercel, convex, asc, gpc, fastlane, bun, gcloud, + Xcode/Android Studio). Cross-platform — Homebrew/npm on macOS, apt/curl on Linux, winget/scoop on Windows. Use for "install the CLIs", "set up my machine", "ns doctor", missing-tool errors, or right before /ns accounts. Proposes to install everything missing in one pass.

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 App Store Connect API credentials (key ID, issuer ID, .p8 file) on the user's machine and signed-in browser session, then log in with asc CLI. Use when asc auth is needed, credentials are unknown, user says "login to App Store Connect" or "find my ASC key", or before ns-ios-deploy-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。

Find and set up Google Play Console service-account JSON credentials for gpc. Use when Android Play uploads need auth, GPC_SERVICE_ACCOUNT is unknown, or before ns-deploy-android-app/ns-android-beta.

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 NowStack Mobile production surfaces. Use for Convex prod, web deploy, production env sync, and coordinating iOS/Android release skills.

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。

One-shot NowStack Mobile iOS deployment with asc App Store Connect CLI. Use when preparing TestFlight/App Store releases, uploading IPAs, syncing screenshots/metadata, validating review readiness, or submitting the iOS app without EAS Submit.

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。

One-shot NowStack Mobile iOS deployment with asc App Store Connect CLI. Use when preparing TestFlight/App Store releases, uploading IPAs, syncing screenshots/metadata, validating review readiness, or submitting the iOS app without EAS Submit.

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。

One-shot NowStack Mobile Android deployment with GPC Google Play Console CLI. Use when preparing Play Store releases, uploading AABs, syncing listings/screenshots, monitoring rollout health, or submitting Android without EAS Submit.

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。

Plan safe Convex schema and data migrations. Use for widen-migrate-narrow rollouts, backfills, breaking field changes, table splits, or failed schema deploys.

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。

Web scraping, search, crawling, and browser automation via the Firecrawl CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, scrape a webpage, grab content from a URL, extract data from a website, crawl documentation, download a site, or interact with pages that need clicks or logins. Also use when they say "fetch this page", "pull the content from", "get the page at https://", or reference scraping external websites. This provides real-time web search with full page content extraction and cloud browser automation — capabilities beyond what Claude can do natively with built-in tools. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.

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。

Agent eXperience Interface (AXI) router — the main entry point for agent-ergonomic CLIs. Use whenever the agent needs GitHub, browser automation, human review, quota routing, Slack, Notion, AWS/Docker/K8s, databases, GitLab (glab-axi), Oracle DB (oracle-axi), tmux/herdr/WezTerm sessions (cyber-mux), or any AXI-catalog tool; when choosing AXI vs MCP vs raw CLI; when building or reviewing an agent-facing CLI; or when the user says axi, gh-axi, chrome-devtools-axi, TOON output, agent ergonomics, or "prefer AXI". When in doubt about which external tool interface to use, start here.

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。

本番に出る前の修正が積まれたrelease pull requestに、デプロイの前後に人間がやる事をまとめたコメントを投稿・更新する。 codepatrol skillが起動したsubagentが実行する。ユーザーが直接呼び出す事は想定していない。

Use the Microsoft.Extensions stack correctly across Generic Host, dependency injection, configuration, logging, options, HttpClientFactory, and other shared infrastructure patterns.

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。

Design or review .NET solution architecture across modular monoliths, clean architecture, vertical slices, microservices, DDD, CQRS, and cloud-native boundaries without over-engineering.

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 new Tip in the ai-product-dev-tips repository following the existing directory/format conventions, and register its link in the root README.md. Use this whenever the user wants to add, create, or write a new Tip in this repo — e.g. "nlp_processing に〜の Tip を追加して", "新しい Tips を作って", "〜の解説 Tip を書いて", "this repo に〜のネタを追加". It picks the right category and next sequential number, matches the README format of nearby Tips, generates code scaffolding (Dockerfile / requirements.txt / *_cpu.sh / *_gpu.sh / *.py) only when the Tip needs runnable code, and inserts the link into the correct <details> section of the root README. Trigger this even if the user doesn't say the word "skill" — any request to add a new entry to this Tips collection should use it.

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。

Azure OpenAI画像生成CLIツール (gpt-image-1.5 / gpt-5.1)。テキストから画像生成、画像のAI編集、画像の内容説明を行う。Use when the user wants to (1) generate images using Azure OpenAI, (2) edit existing images with AI, (3) explain image contents. Triggers on "画像を生成", "画像を編集", "画像の説明", "generate an image", "edit this image", "describe this image", "imgenで".