1.5만건 · 관련도순
Elite content marketing strategist specializing in AI-powered content creation, omnichannel distribution, SEO optimization, and data-driven performance marketing. Masters modern content tools, social media automation, and conversion optimization with 2024/2025 best practices. Use PROACTIVELY for comprehensive content marketing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY for business intelligence or strategic analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
.NET unit test fundamentals and FIRST principles specialized skill. Used when creating unit tests, understanding testing basics, learning 3A Pattern, and mastering testing best practices. Covers FIRST principles, AAA Pattern, Fact/Theory, testing pyramid, etc. Keywords: unit test, unit test, unit testing, test fundamentals, testing fundamentals, FIRST principle, FIRST principle, 3A pattern, AAA pattern, Arrange Act Assert, Fact, Theory, InlineData, how to write tests, testing best practices, create unit test
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Specialized skill for ASP.NET Core integration testing. Use when testing Web API endpoints, HTTP request/response, middleware, and dependency injection. Covers WebApplicationFactory, TestServer, HttpClient testing, in-memory database configuration. Keywords: integration testing, web api testing, WebApplicationFactory, TestServer, HttpClient testing, controller testing, endpoint testing, RESTful API testing, Microsoft.AspNetCore.Mvc.Testing, CreateClient, ConfigureWebHost, AwesomeAssertions.Web, Be200Ok, Be404NotFound, middleware testing, dependency injection testing
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Serializes data. System.Text.Json source generators, Protobuf, MessagePack, AOT-safe patterns.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Complete guide for upgrading xUnit 2.9.x to 3.x. Use when upgrading xUnit v2 to v3 or understanding xUnit v3 new features and breaking changes. Covers package updates, async void fixes, IAsyncLifetime adjustments. Includes new features: Assert.Skip, Explicit Tests, Matrix Theory, Assembly Fixtures. Keywords: xunit upgrade, xunit v3, xunit 3.x, xunit migration, xunit upgrade, xunit.v3, OutputType Exe, IAsyncLifetime v3, Assert.Skip, SkipUnless, SkipWhen, Explicit attribute, MatrixTheoryData, AssemblyFixture, breaking changes
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designs EF Core data layer architecture. Read/write split, aggregate boundaries, N+1 governance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Creates GitHub-native docs. README badges, CONTRIBUTING, issue/PR templates, repo metadata.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Base implementation skill for this repository across .NET/C#, backend APIs, database/ORM, frontend Vue/Quasar, and Rust with Clean Architecture rules. Use when the user asks to build features, fix bugs, refactor modules, or improve code-level performance, and use specialized skills as inheritance layers when available.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Base implementation skill. Use for code changes, bug fixes, refactors, and script work across .NET/C#, backend APIs, database/ORM, Vue/Quasar frontend, Rust, PowerShell, Docker, K8s, CI/CD, security, observability, and SRE domains. Specialized skills extend this as a base.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when writing or applying a migration in site-os, adding a table or column, storing files, or when a migration fails with "must be owner of table" — covers the apply procedure, the postgres-ownership rule, money/rate units, and where files belong.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use FIRST when someone asks for a new feature or a change to an existing one — before any schema, code or test. Works out what is actually being asked for, whether to build it or integrate a third party (Trustpilot, Stripe, Calendly and the like), where the data lives, who may do what, and what happens when the vendor is down. Produces a decision, then hands to feature-schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Tests and exploits deep link (URL scheme and App Link) vulnerabilities in Android and iOS mobile applications to identify unauthorized access, data injection, intent hijacking, and redirect manipulation. Use when assessing mobile app attack surface through custom URI schemes, Android App Links, iOS Universal Links, or intent-based navigation. Activates for requests involving deep link security testing, URL scheme exploitation, mobile intent abuse, or link hijacking.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Identifying and exploiting SSRF vulnerabilities to access internal services, cloud metadata, and restricted network resources during authorized penetration tests.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detects typosquatting attacks in npm and PyPI package registries by analyzing package name similarity using Levenshtein distance and other string metrics, examining publish date heuristics to identify recently created packages mimicking established ones, and flagging download count anomalies where suspicious packages have disproportionately low usage compared to their legitimate targets. The analyst queries the PyPI JSON API and npm registry API to gather package metadata for automated comparison. Activates for requests involving package typosquatting detection, dependency confusion analysis, malicious package identification, or software supply chain threat hunting in package registries.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detect unauthorized SaaS and cloud service usage (shadow IT) by analyzing proxy logs, DNS query logs, and netflow data using Python pandas for traffic pattern analysis and domain classification.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detecting misconfigured Azure Storage accounts including publicly accessible blob containers, missing encryption settings, overly permissive SAS tokens, disabled logging, and network access violations using Azure CLI, PowerShell, and Microsoft Defender for Storage.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring, and behavioral heuristics. Identifies mass file modification patterns, abnormal entropy spikes in written data, and suspicious process behavior characteristic of ransomware encryption routines. Activates for requests involving ransomware behavioral detection, entropy-based file monitoring, I/O anomaly detection, or real-time encryption activity alerting.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detect DNS-based data exfiltration by analyzing Zeek dns.log for high-entropy subdomains and anomalous query patterns
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation. Use when analyzing suspicious mobile applications for data exfiltration, command-and-control communication, credential stealing, SMS interception, or other malware indicators. Activates for requests involving mobile malware analysis, app behavior monitoring, trojan detection, or suspicious app investigation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.