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概要と使いどころ
Implement, organize, and test Rust modules in this repository following mandatory project organization and test discovery rules. Use when tasks involve Cargo crates, module structure, Rust refactors, or creation/fix of Rust tests including required error test coverage.
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 and refactor frontend features using Vue and Quasar with repository architecture, theming, UX, and performance standards. Use when tasks involve components, composables, Pinia, routing, i18n/UI behavior, responsive layouts, or frontend clean architecture 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, organize, and test Rust modules following mandatory project organization and test discovery rules. Use when tasks involve Cargo crates, module structure, Rust refactors, or creation/fix of Rust tests including required error test coverage.
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。
Produce and maintain repository documentation and release artifacts, including README files, PR descriptions, changelog entries, prompt templates, and instruction docs. Use when the user asks to create or update docs/process files under .github or project root.
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。
Close out a completed workstream by updating README artifacts when needed, producing a commit message, and applying changelog-ready content when the work is ready for commit. Use after review when a stable checkpoint is ready.
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。
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.
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。
Produce and maintain repository documentation and release artifacts including README files, PR descriptions, changelog entries, prompt templates, and instruction docs. Use when the user asks to create or update docs/process files under .github or project root.
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。
Improve platform resilience with timeout/retry/circuit-breaker strategy, capacity controls, chaos testing, and disaster recovery readiness. Use when tasks involve reliability hardening, failure-mode testing, incident prevention, or recovery objectives.
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 and implement observability and SRE controls including SLO/SLI, OpenTelemetry instrumentation, alerting, dashboards, and incident readiness. Use when tasks involve telemetry coverage, operational reliability metrics, incident response, or runbook 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。
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.
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。
This skill covers detecting sophisticated cyber-physical attacks that follow the Stuxnet attack pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation from operators. It addresses PLC logic integrity monitoring, physics-based process anomaly detection, engineering workstation compromise indicators, USB-borne attack vectors, and multi-stage attack chain detection spanning IT-to-OT lateral movement through to process manipulation.
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。
Spearphishing targets specific individuals using personalized, researched content that bypasses generic spam filters. Email security gateways (SEGs) like Microsoft Defender for Office 365, Proofpoint,
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。
Detecting and exploiting Server-Side Template Injection (SSTI) vulnerabilities across Jinja2, Twig, Freemarker, and other template engines to achieve remote code execution.
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。
Identifies and exploits SQL injection vulnerabilities in web applications during authorized penetration tests using manual techniques and automated tools like sqlmap. The tester detects injection points through error-based, union-based, blind boolean, and time-based blind techniques across all major database engines (MySQL, PostgreSQL, MSSQL, Oracle) to demonstrate data extraction, authentication bypass, and potential remote code execution. Activates for requests involving SQL injection testing, SQLi exploitation, database security assessment, or injection vulnerability verification.
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。
Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus. Use when building detections for PowerShell-based attacks, reflective DLL injection, WMI persistence, and registry-resident malware. Activates for requests involving fileless malware detection, in-memory attacks, PowerShell exploitation, or living-off-the-land techniques.
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。
Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.
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。
Configures Windows Event Logging with advanced audit policies to generate high-fidelity security events for threat detection and forensic investigation. Use when enabling audit policies for logon events, process creation, privilege use, and object access to feed SIEM detection rules. Activates for requests involving Windows audit policy, event log configuration, security logging, or detection-oriented logging.
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。
Business Email Compromise (BEC) is a sophisticated fraud scheme where attackers impersonate executives, vendors, or trusted partners to trick employees into transferring funds, sharing sensitive data,
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。
Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared indicators for improved detection. Use when multiple incidents exhibit overlapping indicators, when sector-wide attack campaigns require cross-organizational analysis, or when building campaign-level intelligence products. Activates for requests involving campaign analysis, incident clustering, cross-organizational IOC correlation, or MISP correlation 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。
Conducts external reconnaissance using Open Source Intelligence (OSINT) techniques to map an organization's external attack surface without directly interacting with target systems. The tester gathers information from public sources including DNS records, certificate transparency logs, search engines, social media, code repositories, and data breach databases to build a comprehensive target profile. Activates for requests involving OSINT reconnaissance, external footprinting, attack surface mapping, or passive information gathering.
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 effective detection rules using Splunk Search Processing Language (SPL) correlation searches to identify security threats in SOC environments.
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。
Builds an automated malware submission and analysis pipeline that collects suspicious files from endpoints and email gateways, submits them to sandbox environments and multi-engine scanners, and generates verdicts with IOCs for SIEM integration. Use when SOC teams need to scale malware analysis beyond manual sandbox submissions for high-volume alert triage.
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。
Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware cryptanalysis, encryption analysis, key recovery assessment, or ransomware decryption feasibility.
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。
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
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。