Expert in secure mobile coding practices specializing in input validation, WebView security, and mobile-specific security patterns. Use PROACTIVELY for mobile security implementations or mobile security code reviews.
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。
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Expert in secure mobile coding practices specializing in input validation, WebView security, and mobile-specific security patterns. Use PROACTIVELY for mobile security implementations or mobile security code reviews.
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 Haskell engineer specializing in advanced type systems, pure functional design, and high-reliability software. Use PROACTIVELY for type-level programming, concurrency, and architecture guidance.
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 in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews.
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。
You are a compliance expert specializing in regulatory requirements for software systems including GDPR, HIPAA, SOC2, PCI-DSS, and other industry standards. Perform comprehensive compliance audits and provide implementation guidance for achieving and maintaining compliance.
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。
Deploys Uno Platform apps. Per-target guidance for WASM, iOS, Android, macOS, Windows, Linux.
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。
Discovers available MCP servers from registries and validates compatibility. Auto-discovers MCP servers from official registries, community sources, and local definitions. Triggers on: mcp discovery, find mcp servers, discover mcp, mcp registry, mcp catalog.
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。
Code analysis patterns using Serena MCP for architecture validation and pattern 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。
Tests .NET MAUI apps. Appium device automation, XHarness, platform validation.
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Detects API surface changes in CI. PublicApiAnalyzers, Verify snapshots, ApiCompat gating.
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 patterns and architectural guidance for .NET applications. Navigation skill covering vertical slices, domain modeling, messaging patterns, resilience, caching, and system design. For building scalable, maintainable applications. Keywords: architecture, patterns, vertical slices, domain modeling, messaging, resilience, caching, design patterns
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Use when building .NET 10 or C# 14 applications; when using minimal APIs, modular monolith patterns, or feature folders; when implementing HTTP resilience, Options pattern, Channels, or validation; when seeing outdated patterns like old extension method syntax
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, implement, and stabilize automated tests (unit, integration, E2E) for .NET/C#, Rust, APIs, and frontend flows. Use when the user asks to create tests, increase coverage, fix flaky tests, or validate behavior 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。
Create or update active planning documents under `planning/active`, then define the execution slices, validations, specialist handoff, and closeout expectations. Use when the task is non-trivial, multi-step, or explicitly asks for planning.
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Design, implement, and stabilize automated tests in this repository (unit, integration, and E2E) for .NET/C#, Rust, APIs, and frontend flows. Use when the user asks to create tests, increase coverage, fix flaky tests, or validate behavior 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。
Implement MYOT changes safely with minimal diffs, behavior preservation, and post-change validation.
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Use when auditing or improving example.com's SEO/indexing — Google Search Console issues (404s, sitemap, "discovered not indexed"), on-page checks (title/meta/canonical/OG/H1/internal links), or wiring search-engine notification (IndexNow/GSC/Bing/Yandex). Also use when the operator pastes GSC findings and asks to fix + validate.
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Use when wiring shadcn/ui primitives, forms or admin UI in site-os — the component mechanics, the VBField validation layer, and the UI bugs that have actually shipped here. For brand identity (colour, type, logo, voice) load brand instead; that skill wins on any disagreement.
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。
Validate built features through conversational UAT
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Generate AI design contract (AI-SPEC.md) for phases that involve building AI systems — framework selection, implementation guidance from official docs, and evaluation strategy
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Tests APIs for injection vulnerabilities including SQL injection, NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery (SSRF) through API parameters, headers, and request bodies. The tester crafts malicious payloads targeting different backend technologies and injection contexts to extract data, execute commands, or access internal services. Maps to OWASP API8:2023 Security Misconfiguration and API7:2023 SSRF. Activates for requests involving API injection testing, SQLi in APIs, NoSQL injection, SSRF testing, or API input validation assessment.
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Analyzes and simulates BGP hijacking scenarios in authorized lab environments to assess route origin validation, RPKI deployment, and BGP monitoring defenses against prefix hijacking and route leak attacks on internet routing infrastructure.
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This skill covers detecting anomalies in Modbus/TCP and Modbus RTU communications in industrial control systems. It addresses function code monitoring, register range validation, timing analysis, unauthorized client detection, and deep packet inspection for malformed Modbus frames. The skill leverages Zeek with Modbus protocol analyzers, Suricata IDS with OT rules, and custom Python-based detection using Markov chain models for normal Modbus transaction sequences.
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Detects prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models. The detector analyzes user inputs before they reach the LLM, flagging direct injections (system prompt overrides, role-play escapes, instruction hijacking) and indirect injections (encoded payloads, multi-language obfuscation, delimiter-based escapes). Based on the OWASP LLM Top 10 (LLM01:2025 Prompt Injection) and Simon Willison's prompt injection taxonomy. Activates for requests involving prompt injection detection, LLM input sanitization, AI security scanning, or prompt attack classification.
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Simulates man-in-the-middle attacks using Ettercap, mitmproxy, and Bettercap in authorized environments to intercept, analyze, and modify network traffic for testing encryption enforcement, certificate validation, and detection capabilities.
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。