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概要と使いどころ
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。
Creates or updates the active planning artifact under planning/active/ for any change-bearing workstream. Consumes the active spec when one exists. Defines ordered tasks, target paths, commands, and checkpoints.
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 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。
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。
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。
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 reached.
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 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.
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。
Unit and integration testing strategy. USE FOR: writing tests; coverage improvements; vitest specs; test refactoring. DO NOT USE FOR: production code changes (use code-implementation skill); documentation (use documentation skill); commits (use commit-conventions skill).
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。
Unit and integration testing strategy for create-vue-dsfr. Use for writing, updating, or refactoring Vitest specs and test coverage. Read the shared project skill before acting.
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。
Generate developer behavioral profile and create Claude-discoverable artifacts
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。
Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong
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。
Extract decisions, lessons, patterns, and surprises from completed phase artifacts
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。
Generate a comprehensive project summary from milestone artifacts for team onboarding and review
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 and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis to identify injection artifacts. Activates for requests involving process injection detection, code injection analysis, hollowed process investigation, or in-memory threat 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。
Detect NTLM relay attacks through Windows Security Event correlation by analyzing Event 4624 LogonType 3 for IP-to-hostname mismatches, identifying Responder/LLMNR poisoning artifacts, auditing SMB and LDAP signing enforcement across the domain, and detecting NTLM downgrade attacks from NTLMv2 to NTLMv1 using event log 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。
Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.
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。
Parse Windows Prefetch files to determine program execution history including run counts, timestamps, and referenced files for forensic investigation.
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 indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.
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。
Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.
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。
Detect sandbox evasion techniques in malware samples by analyzing timing checks, VM artifact queries, user interaction detection, and sleep inflation patterns from Cuckoo/AnyRun behavioral reports
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。
Captures and analyzes network packet data using Wireshark and tshark to identify malicious traffic patterns, diagnose protocol issues, extract artifacts, and support incident response investigations on authorized network segments.
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。
Rewrite AEM Edge Delivery Services page content for AI search discoverability (GEO — Generative Engine Optimization). Analyzes content structure, semantic clarity, and factual density, then produces optimized rewrites that rank in both traditional search and AI-powered search engines. Use when optimizing pages for search visibility, AI discoverability, or content 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。