「red」の検索結果

ASP.NET Core web framework conventions: Minimal API vs MVC controllers, Program.cs composition, DI lifetimes (Scoped/Singleton/Transient), Options pattern with IOptions<T>, middleware ordering (HTTPS redirect → routing → authentication → authorization), model binding and validation (FluentValidation / DataAnnotations), ProblemDetails error handling, structured logging with ILogger<T>, configuration layering (appsettings.json + environment variables + User Secrets), and health checks. Works alongside csharp-foundation:csharp-conventions and aspnet-core-plugin:efcore-patterns. Use this skill to: - Compose Program.cs correctly — register services, configure middleware in the right order, map endpoints. - Apply the Options pattern to avoid passing raw IConfiguration into services. - Write Minimal API endpoint groups with typed results and authorization. - Handle cross-cutting errors uniformly with ProblemDetails. - Configure structured logging and health checks for production readiness. Do NOT use this skill for: - EF Core entity configuration and migrations — see aspnet-core-plugin:efcore-patterns. - C# language idioms — see csharp-foundation:csharp-conventions. - Testing — see csharp-foundation:dotnet-testing.

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 explaining branch predictors, mispredict penalties, speculative execution, Spectre or Meltdown mitigations, or branchless code. Not for pipeline stage theory: use cpu-pipelines-and-hazards.

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 a measured cost surface needs one-change-at-a-time reduction under frozen guardrails. Not for speed-only optimization: use optimize.

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 asked to optimize code, make a path faster, make this as fast as possible, reduce allocations, repair a regression, profile a target, grill every inefficiency, or run a subsystem or repo-wide performance campaign against a measured floor; when a performance requirement, slowness report, Core Web Vitals miss, or profiling evidence identifies a bottleneck; or for an "extremely optimize" performance campaign, optimizing suspected hot paths without waiting for benchmarks, or estimating hot and complexity-neutral cold paths while refusing complexity theater. Not for remote, credential, publish, deploy, or irreversible changes.

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。

Run the Upstash CLI (`upstash`) from a terminal, shell script, or CI job when no Upstash MCP tools are in the session. Do not load this skill when Upstash MCP tools are available (the Upstash plugin registers mcp.upstash.com) - they already cover creating, listing, renaming, and deleting Redis databases, running Redis commands, usage stats, backups, Vector and Search indexes, QStash schedules and messages, Blob buckets, and Box, so call them directly. Use this skill for shell work the MCP does not do - a CI step or provisioning script that needs `upstash` commands with JSON output, piping results into other commands, `upstash auth login` and API-key setup, team and member management, changing plans, regions, TLS, eviction, auto-upgrade, or budgets, minting temporary S3 credentials for a Blob bucket, connecting a coding agent to Upstash with `upstash setup` (the Upstash plugin, or the remote MCP server plus skills), or when the user explicitly asks for the CLI or for managing Upstash without the console.

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 AI inventory prediction. TRIGGERS - Use when user needs help with ai-inventory-predictor related 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。

Build AI churn prediction systems. TRIGGERS - Use when user needs help with ai-churn-predictor related 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。

Prepare for educational accreditation. TRIGGERS - Use when user needs help with accreditation-prep related 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。

Prepare for educational accreditation. TRIGGERS - Use when user needs help with accreditation-preparation related 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。

Build Solana trading applications combining DFlow trading APIs with Helius infrastructure. Covers spot swaps (imperative and declarative), prediction markets, real-time market streaming, Proof KYC, the DFlow Agent CLI for autonomous trading, transaction submission via Sender, fee optimization, shred-level streaming via LaserStream, and wallet intelligence.

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 (CSS/JS/React + GSAP/Motion): classify UI motion as communicative (sequence is the content) or decorative (decorating a result), then fix or apply prefers-reduced-motion so meaning survives under reduce. Use when auditing existing animation, gating new motion, verifying both preference states, catching a dead reduced-motion branch, snapping to an end state, or collapsing a transition without nuking essential cues. Not for React Native, full WCAG encyclopedias, keyboard traps, color contrast, focus management, or ARIA pattern audits.

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。

REQUIRED before declaring a task done when the diff touches user input, SQL, shell, auth, credentials, file paths, serialization, crypto, network endpoints, data deletion, or dependency surface. Judge by that surface, not the task label — research/experimental/local-only code with none of it can skip this. Walks OWASP/ASVS/MITRE questions the compiler and the test suite won't catch. Pair with `rafter run` on the same diff. When the diff has that surface, marking it complete without both has been under-delivered — do not claim done.

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。

Monitors dark web forums, marketplaces, paste sites, and ransomware leak sites for mentions of organizational assets, leaked credentials, threatened attacks, and threat actor communications to provide early warning intelligence. Use when establishing dark web monitoring coverage, investigating specific data breach claims, or enriching incident investigations with dark web context. Activates for requests involving dark web OSINT, leak site monitoring, credential exposure, Recorded Future dark web, or Tor hidden service intelligence.

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。

Red team engagement planning is the foundational phase that defines scope, objectives, rules of engagement (ROE), threat model selection, and operational timelines before any offensive testing begins.

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。

"Apply the Theory of Planned Behavior to predict behavioral intentions from attitudes, subjective norms, and perceived behavioral control, and identify intervention leverage points. Use this skill when the user needs to predict adoption of a new behavior, diagnose why an intended behavior does not occur, design behavior change campaigns, or when they ask 'why do people not follow through', 'what predicts behavior change', or 'how to increase adoption rates'.".

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。

"Apply signaling theory (Spence, 1973) to analyze how agents communicate private information through costly, credible signals under information asymmetry. Use this skill when the user needs to evaluate whether a corporate action serves as a credible signal, analyze dividend or IPO signaling, assess separating vs pooling equilibria, or when they ask 'why do firms pay dividends', 'is this signal credible', or 'how does underpricing signal quality'.".

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。

Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check. Use when building landing pages, portfolios, redesigns, or frontend interfaces that need strong visual taste.

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。

"Apply Blue Ocean Strategy to create uncontested market space through value innovation. Use this skill when the user needs to differentiate beyond price competition, find new market opportunities, or redesign a product's value proposition using the Strategy Canvas and Four Actions Framework (Eliminate-Reduce-Raise-Create). Also use when the user says 'how do we stop competing on price', 'create a new category', or 'escape the red ocean'.".

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。

"Implement Schema.org structured data markup in JSON-LD format for enhanced search results. Use this skill when the user needs to add rich snippets to web pages, implement FAQ/Product/Article schema, or validate structured data — even if they say 'rich snippets', 'structured data', or 'Google rich results'.".

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 employee turnover prediction models to identify flight risk and retention drivers. Use this skill when the user needs to predict which employees are likely to leave, identify retention risk factors, or prioritize HR interventions — even if they say 'attrition prediction', 'who is going to quit', or 'employee retention model'.".

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 CTR prediction models for estimating ad click-through rates from features. Use this skill when the user needs to predict click probability, build an ad ranking model, or evaluate ad creative performance — even if they say 'predict click rate', 'ad relevance scoring', or 'which ad will get more clicks'.".

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。

"Calculate Altman Z-Score to predict corporate bankruptcy probability from financial ratios. Use this skill when the user needs to assess a company's financial distress risk, screen for bankruptcy-prone firms, or evaluate credit worthiness — even if they say 'bankruptcy prediction', 'financial distress score', or 'Z-score 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。

Review commercial contracts, NDAs, MSAs, SOWs, and vendor agreements for obligation clarity, risk allocation, termination, data handling, and negotiation red flags. Use when a user needs a structured contract summary, red flag list, fallback positions, or clause-by-clause review. Do not use as jurisdiction-specific legal advice, litigation strategy, or final legal sign-off.

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。