1,364 件 ・ 関連度順
概要と使いどころ
Establishes safe practices for acquiring, storing, transferring, and disposing of malware samples: password-protected archives, neutralized extensions, hashing for identity, and chain-of-custody. Activates for requests about safely storing or sharing malware, sample handling hygiene, or defanging 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。
Computes cryptographic and fuzzy fingerprints for malware samples: MD5/SHA-1/SHA-256 for exact identity, plus import hashing (imphash), section hashing, and fuzzy hashes (ssdeep, TLSH) to cluster related variants. Activates for requests to hash a sample, compute imphash, or fingerprint files for similarity clustering.
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。
Update Pulp's pinned Skia, Dawn, and optional V8 prebuilts as one milestone-matched render-toolchain release. Use for requests such as "update Skia/Dawn", "move to chrome/mNNN", "find the matching V8", "update the GPU toolchain", or "use the Skia/Dawn/V8 tuple that goes together". Distinguishes milestone-matched V8 releases from v8-builder's newer weekly LKGR releases, verifies exact upstream provenance and asset hashes, updates every Pulp mirror, and runs the provider-identity/ODR gates.
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。
Guided, section-by-section Art Bible authoring. Creates the visual identity specification that gates all asset production. Run after /brainstorm is approved and before /map-systems or any GDD authoring 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。
Unity 6 core concepts and architecture guide. Use when working with GameObjects, Components, Transforms, Scenes, Prefabs, ScriptableObjects, or Unity project structure. Covers the entity-component architecture, object hierarchy, tags, layers, and project conventions. Based on Unity 6.3 LTS documentation.
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 building, reviewing, or improving frontend UI that needs product-specific design direction, design-system generation, Master/Page overrides, distinctive visual identity, anti-generic interface choices, first-screen hierarchy, UI polish, chart UX, interaction states, responsive behavior, or visual QA. Interface polishing, interactive state.
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 behavior-preserving frontend refactoring focuses on variable meaning, field naming, derived state, or reference/value identity, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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 task needs the judgment of a Computer User Support Specialist — triaging an inbound ticket's severity and SLA clock before troubleshooting it, verifying a caller's identity before any password/MFA/account-state change, walking a live incident through a structured troubleshooting sequence instead of guessing at a fix, deciding whether a request is an incident, a service request, or the underlying problem behind a string of incidents, or judging whether a ticket should resolve at tier 1 or genuinely needs escalation.
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。
Smart code scanner that detects Spring Boot patterns and routes to appropriate skills. Use when editing Java or Kotlin files in Spring Boot projects, working with pom.xml/build.gradle containing spring-boot-starter, or when context suggests Spring Boot development. Detects annotations (@RestController, @Entity, @EnableWebSecurity, @SpringBootTest) to determine relevant skills and provides contextual guidance. Uses progressive automation - auto-invokes for low-risk patterns (web-api, data, DDD), confirms before loading high-risk skills (security, testing, verify).
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 the user asks to analyze, consult, setup, manage, configure, or design a Volcengine Landing Zone, including organization, accounts, finance, identity, cloudtrail, or network infrastructure, or to deploy a solution/blueprint.
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。
将科研数字分身各维度整合提取为他山论坛分身，格式为 Identity / Expertise / Thinking Style / Discussion Style 四节 Markdown，输出前先让用户确认隐私暴露范围。当用户说「生成他山论坛分身」「论坛画像」「数字分身」「导出论坛档案」时使用。
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 this whenever a new file/folder is created or renamed in this Vue project, when reviewing a module for consistency, or when the right path for a file is unclear. Also triggers on "what should I name this?", "is this file named correctly?", "audit module naming". Enforces kebab-case folders, dot-prefixed `{module}.{name}.{type}.vue|js` files, multi-entity rules, singular vs plural for views, and the layered structure UI → Store → API.
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。
.NET guidance — ASP.NET Core APIs, Entity Framework Core, DI, configuration, testing, and container deployment.
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。
Keep long conversations coherent — summarization checkpoints, entity tracking, topic stacks, and graceful context handoffs. Use when dialogues run long or span sessions and the agent keeps losing the thread.
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 and apply brand guidelines — voice, visual identity, and usage rules that keep every touchpoint consistent.
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。
Comprehensive 2026 SEO audit covering classic technical SEO (crawl, render, index, Core Web Vitals with INP), on-page (titles, meta, headings, internal linking), content (topical authority, entity density).
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 2026-grade content brief for a target query — combines classic SERP analysis with AI Overview / Perplexity / ChatGPT citation analysis, entity recommendations (target ≥15 recognized entities), topical authority gap map, intent-mapped heading structure, internal linking targets.
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。
Analyze fraud detection systems including rule engines, ML scoring models, real-time transaction monitoring, alert triage workflows, false positive management, SAR/CTR regulatory reporting, adversarial robustness testing, and adaptive retraining pipelines for payment fraud, account takeover, identity theft, and AML 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。
Analyze game code for performance bottlenecks including draw call batching and overdraw, shader complexity and LOD strategy, per-frame GC allocation pressure, object pooling gaps, physics timestep and collision matrix tuning, spatial partitioning for entity queries.
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 data dictionary documenting entities, fields, and business rules. Use when the user says "data dictionary", "document the data model", "what fields are in this table", "data definitions", "field descriptions", "CRUD matrix", "entity relationship", "data catalogue", "what data does this system store" - even if they don't explicitly say "data dictionary".
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 @vercel/error to design, implement, migrate, audit, or review structured TypeScript errors. Trigger when a project uses or adopts the package, or when work involves its codes, fields, factories, HTTP APIs, telemetry, or terminal output. Use native Error for local failures that need no stable identity, recovery guidance, observability, or transport.
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, validate, or generate Schema.org JSON-LD for a supplied page or entity. Use only when structured data or rich-result markup is requested.
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。
Audit and improve content for AI Overviews and answer engines, including citability, entity clarity, crawler access, brand signals, and passage structure.
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。
AI citation readiness audit as part of SEO, covering classic Google search and AI search surfaces together. Use whenever the user wants their content to rank or be cited in ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com, Google AI Overviews, or Google AI Mode. AI citation optimization audit scoring blog posts for major answer surfaces. Evaluates evidence-backed citability, purpose clarity, entity clarity, structured data, and AI crawler accessibility. Suggests evidence-backed explanations and a 0-100 AI Citation Readiness score. Use when user says "geo", "ai citation", "ai optimization", "citation audit", "aeo", "perplexity optimization", "chatgpt citation".
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。