「scan」の検索結果

Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.

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。

Scan a codebase for deepening opportunities, present them as a visual HTML report, then guide a user-directed decision loop for the selected candidate.

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。

Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations

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。

Enable nullable reference types in a C# project and systematically resolve all warnings. USE FOR: adopting NRTs in existing codebases, file-by-file or project-wide migration, fixing CS8602/CS8618/CS86xx warnings, annotating APIs for nullability, cleaning up null-forgiving operators, upgrading dependencies with new nullable annotations. DO NOT USE FOR: projects already fully migrated with zero warnings (unless auditing suppressions), fixing a handful of nullable warnings in code that already has NRTs enabled, suppressing warnings without fixing them, C# 7.3 or earlier projects. INVOKES: Get-NullableReadiness.ps1 scanner script.

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。

Scans .NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification. Use when analyzing .NET code for optimization opportunities, reviewing hot paths, or auditing allocation-heavy 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。

Pre-install security scanner for AI agent skills. 7.5% of 14,706 skills are malicious. Audit before you trust.

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 review evidence tagged Blender architectural candidates, preserve unrelated scene content, and produce requested photographic materials, stills and portable model deliveries.

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。

Inspect native RGB, depth, confidence, calibration, and poses to make finite, source traceable reference points and surface measurements.

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。

Experimental workflow for collecting and triaging product feedback, product telemetry, runtime errors, and issue reports. Use when scanning configured signal sources and applying separate fix, reply, or close rules.

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。

Create and render fixed-canvas editable visual designs, including posters, marketing graphics, covers, menus, banners, and social cards. Default outputs include fixed and editable HTML, PNG, a mouse editor with scan and exploded layer views, and an evidence-backed Design Replay. Do not use for websites, slide decks, videos, or standalone logo systems. Always use this skill when the project contains `poster.json`.

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 deep scan and ingest project files (.md, .json, agent.md, .openwiki) and past conversation logs into the local memB vector memory engine.

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。

A skill for AI agents that want to produce better daily reports and discover more of what their users actually want. Scans source front pages, diffs them against yesterday, prescreens with a weighted profile, reviews with an LLM, deduplicates, publishes, and evolves the profile from user feedback. All decisions go to an append-only tape for audit and replay.

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。

Scan an iOS/macOS Xcode project for common App Store rejection patterns before submission. Use when preparing an app for App Store review, after receiving a rejection from Apple, or when auditing metadata, subscriptions, privacy manifests, entitlements, or design compliance. Integrates with the asc CLI for metadata inspection.

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。

Bridges UIKit and SwiftUI by wrapping UIKit views and view controllers in SwiftUI with UIViewRepresentable and UIViewControllerRepresentable, embedding SwiftUI in UIKit with UIHostingController, and coordinating delegate callbacks. Use when integrating camera previews, map views, mail compose, document scanners, PDF renderers, text views with attributed text, or other UIKit-only or third-party UIKit SDK surfaces into a SwiftUI app, or when migrating a UIKit app to SwiftUI incrementally.

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。

Read and write NFC tags using CoreNFC. Use when scanning NDEF tags, reading ISO7816/ISO15693/FeliCa/MIFARE tags, writing NDEF messages, handling NFC session lifecycle, configuring NFC entitlements, or implementing background tag reading in iOS apps.

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。

Scan, connect, and communicate with Bluetooth Low Energy peripherals and publish local peripheral services using Core Bluetooth. Use when implementing BLE central or peripheral roles, discovering services and characteristics, reading and writing characteristic values, subscribing to notifications, configuring background BLE modes, restoring state after app relaunch, or working with CBCentralManager, CBPeripheral, CBPeripheralManager, CBService, CBCharacteristic, CBUUID, or Bluetooth Low Energy workflows.

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。

Discover and configure Bluetooth and Wi-Fi accessories using AccessorySetupKit. Use when presenting a privacy-preserving accessory picker, defining discovery descriptors for BLE or Wi-Fi devices, handling accessory session events, migrating from CoreBluetooth permission-based scanning, or setting up accessories without requiring broad Bluetooth permissions.

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。

Fetch weather data for any city using the OpenWeather API.

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。

Performs comprehensive FiveM resource security, performance, and compatibility audits. Detects backdoors, RATs, SQL injection, event exploitation, NUI vulnerabilities, dupes, crash/DoS vectors, npm and build-chain supply chain attacks, and malware patterns across ESX, QBCore, QBox, ox_lib, and ND_Core frameworks, on both GTA V Legacy and Enhanced builds. Use whenever a FiveM/cfx resource is being reviewed — even if not explicitly asked — including: audit FiveM script, review FiveM security, optimize FiveM resource, check FiveM performance, FiveM code review, review Lua script security, audit ESX resource, audit QBCore resource, audit QBox resource, check for exploits, FiveM vulnerability scan, GTA V Enhanced migration check, resmon optimization, or asking whether a leaked, cracked, nulled or unknown-origin script is safe to run.

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: analysing a project's debug and reliability health — inline markers, logging hygiene, and 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。

Use when: analysing a project's test health — coverage, robustness, and CI integration.

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: analysing a project's architecture, structure, and infrastructure health from the System perspective.

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: assessing how much context a deployed agent profile consumes before real work starts.

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: analysing a project's user-facing health — discoverability, documentation, and product clarity.

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。