'system' 검색 결과

Use when practitioners need to understand system-managed fields (CreatedDate, LastModifiedDate, SystemModstamp, CreatedById, LastModifiedById, IsDeleted) — their update behavior, indexing, and queryability. Triggers: 'difference between SystemModstamp and LastModifiedDate', 'how to query deleted records', 'set CreatedDate during data migration', 'why does LastModifiedDate not match SystemModstamp', 'Create Audit Fields permission'. NOT for a field's value-change history — use data/field-history-tracking. NOT for Shield Field Audit Trail — use security/field-audit-trail.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create and own the master game design document (GAME.md — the authored one-pager plus the generated [gen] system/flow maps) and the GD-IDS.yaml facts registry — the top-level, big-picture layer of the GDD and the machine interface the code side reads. Use it to write the master spec from a concept or dialogue, import an existing GDD (a file path or URL), edit GAME.md content ("change a pillar", "rework the monetization stance", "tweak the loop stack"), pitch the game ("pitch" → PITCH.md), re-decompose the systems ("remap"), and — importantly — to add a new system to the design map ("let's add a new system", "add a crafting system to the game design", "add this to the GDD"). This is the structural, map-level layer plus GAME.md content edits. To write or fill in the detailed parameters of one existing system, use /unikit-gd-system; to apply one edit spanning several zones at once use /unikit-gd-apply; to invent a brand-new game concept use /unikit-gd-brainstorm.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Knowledge base from the DoD Systems Engineering Guidebook (OUSD R&E, February 2022). Use for the DoD SE process model — the 16 SE processes (8 technical management + 8 technical) mapped to ISO/IEC/IEEE 15288, the event-driven technical reviews and audits across the Major Capability Acquisition life cycle (ASR, SRR, SFR, PDR, CDR, SVR/FCA, PRR, PCA), the Systems Engineering Plan (SEP), risk/issue/opportunity management, TPMs and leading indicators, system-of-systems and digital engineering, and the 24 design considerations (RAM, system safety, HSI, system security engineering, MOSA, supportability, etc.). Acquisition-program oriented: thin on detailed cost estimating, contracting law, and non-DoD or commercial life cycles.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guide malware cleanup on infected Windows and Linux systems after containment and investigation. Covers removing malicious files and mechanisms that preserve attacker access, rotating credentials, patching entry points, and documenting validation results before recovery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning infected systems after containment
• Removing mechanisms that preserve attacker access
• Rotating compromised credentials and fixing entry points

Develop attack detection for SCADA systems that monitor and control industrial equipment. Compare network traffic and process measurements with normal behavior to identify unauthorized commands, altered sensor data, communication disruption, and indicators of known industrial malware.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Introducing intrusion detection in a SCADA environment
• Investigating suspected attacks on industrial control systems
• Creating detection rules for industrial protocol abuse

Plan a system or service from requirements through components, APIs, data storage, and reliability. Produce a structured design document with diagrams, stated assumptions, trade-offs between choices, and decisions to revisit as usage grows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning the architecture of a new service
• Defining APIs, data models, and service boundaries
• Reviewing scaling and reliability plans

Create project-specific rules for turning Figma designs into code. The skill examines existing components and styling, then saves conventions for naming, file locations, reusable design values, and implementation steps in the coding agent's rule file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up Figma implementation rules for a new project
• Teaching an AI agent existing component conventions
• Standardizing Figma implementation across a team

Plan systems conference papers with section page budgets, paragraph outlines, and writing patterns. Organize design choices, experimental evidence, and related work into a clear argument, then review the draft with submission checklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning sections and page budgets for a systems paper
• Explaining design choices and alternatives
• Organizing evaluation experiments and results

Plan a system or service from requirements through components, APIs, data storage, and reliability. Produce a structured design document with diagrams, stated assumptions, trade-offs between choices, and decisions to revisit as usage grows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning the architecture of a new service
• Defining APIs, data models, and service boundaries
• Reviewing scaling and reliability plans

Review Windows privilege escalation paths from a standard user session to Administrator or SYSTEM. Examine service permissions, token privileges, library loading, scheduled tasks, and stored credentials, with detection indicators for defensive validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating privilege escalation in authorized Windows assessments
• Reviewing service and scheduled task permissions
• Checking detection coverage with attack and defense teams

Coordinate a seven-stage literature review, from defining a research question to collecting and screening papers, building a searchable knowledge database, and producing PRISMA documentation. Specialized agents handle execution, with human approval at key decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Managing a systematic literature review
• Building a research knowledge repository
• Tracking approval of paper selection criteria

Coordinate research from question development through literature searches, analysis, and publication with specialized agents. Supports quantitative, qualitative, and mixed methods studies, plus systematic reviews, with human approval at key decisions about research direction and methods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refining research questions and choosing a theoretical framework
• Planning a systematic review and approving screening criteria
• Designing a qualitative study using interviews

Reuse and maintain components in @tutti-os/ui-system, or move existing interface elements into shared components. Preserve their appearance and interactions while applying shared design rules, defining reusable interfaces, and maintaining component metadata and rendered examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding shared components and their metadata
• Replacing local interface elements with shared components
• Moving existing business UI into reusable components

Measure and tune a DeepStream video pipeline using Nsight Systems. The skill benchmarks inference batch sizes, derives configuration settings from measurements and GPU limits, and reports FPS, processing bottlenecks, and available timings for individual processing components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Benchmark video processing FPS
• Tune settings for multiple video streams
• Identify processing bottlenecks

Enables Redshift system-table (SYS_*) log publishing to S3 Tables in Apache Iceberg format for both Provisioned clusters and Serverless namespaces, verifies publishing status, and queries the published logs via any Iceberg-compatible engine including Redshift and Athena. Covers system tables such as sys_query_history, sys_query_text, sys_connection_log, sys_query_detail, and sys_session_history. Applies when turning on S3 Tables log publishing for a cluster or namespace, confirming publishing status and locating the S3 Tables namespace, querying non-realtime data from Redshift system tables off-cluster at scale, or building dashboards for Redshift monitoring and auditing, especially for historical or high-volume system-table data beyond the in-cluster SYS_ view retention window. Trigger phrases: publish redshift system table log to s3 tables, enable-logging s3 tables, describe redshift logging status, query redshift system tables in athena or redshift, redshift log exports to iceberg.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues. Use when the user mentions "system design", "scale this", "high availability", "rate limiter", "design a URL shortener", "design Twitter", "design Uber", "design a news feed", "system design interview", "capacity planning", or "distributed architecture". Also trigger when estimating infrastructure requirements, choosing between microservices and monoliths, or designing for millions of concurrent users. Covers common system designs (TinyURL, feeds, chat) and back-of-the-envelope estimation. For data fundamentals, see ddia-systems. For resilience, see release-it.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert ISO 42001 AI Management System (AIMS) compliance advisor. Use this skill whenever a user asks about ISO/IEC 42001:2023, AI governance, AI management systems, AI risk assessment, AI system impact assessment, Annex A controls for AI, Statement of Applicability for AI systems, AI policy, responsible AI, AI lifecycle management, AI incident management, AI transparency, AI bias, AI certification readiness, or any topic related to implementing or auditing an AI Management System. Also trigger for questions like "how do I become ISO 42001 certified?", "what controls does ISO 42001 require?", "how do I assess AI risk under 42001?", "what is an AIMS?", or any request involving organisational governance of AI systems, responsible AI frameworks, or AI regulatory compliance aligned to an ISO standard.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert ISO 42001 AI Management System (AIMS) compliance advisor. Use this skill whenever a user asks about ISO/IEC 42001:2023, AI governance, AI management systems, AI risk assessment, AI system impact assessment, Annex A controls for AI, Statement of Applicability for AI systems, AI policy, responsible AI, AI lifecycle management, AI incident management, AI transparency, AI bias, AI certification readiness, or any topic related to implementing or auditing an AI Management System. Also trigger for questions like "how do I become ISO 42001 certified?", "what controls does ISO 42001 require?", "how do I assess AI risk under 42001?", "what is an AIMS?", or any request involving organisational governance of AI systems, responsible AI frameworks, or AI regulatory compliance aligned to an ISO standard.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert patterns for RPG/action ability systems including cooldown strategies, combo systems, ability chaining, skill trees with prerequisites, upgrade paths, and resource management. Use when implementing unlockable abilities, character progression, or complex skill systems. Trigger keywords: PlayerAbility, AbilityManager, cooldown, SkillTree, SkillNode, prerequisites, can_use, execute, ComboSystem, ability_chain, global_cooldown, charge_system, upgrade_path.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert patterns for RPG/action ability systems including cooldown strategies, combo systems, ability chaining, skill trees with prerequisites, upgrade paths, and resource management. Use when implementing unlockable abilities, character progression, or complex skill systems. Trigger keywords: PlayerAbility, AbilityManager, cooldown, SkillTree, SkillNode, prerequisites, can_use, execute, ComboSystem, ability_chain, global_cooldown, charge_system, upgrade_path.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create high-quality, model-aware system prompts for any LLM (Claude, GPT, Gemini, open-source, etc.). Use this skill whenever the user wants to create, write, build, design, draft, or improve a system prompt, system instructions, or custom instructions for any AI model. Also trigger when the user asks about prompt engineering, prompt design, prompt optimization, or wants to define behavior for an AI assistant, chatbot, agent, or any LLM-powered application — even if they don't explicitly say "system prompt". Covers all use cases including chatbots, agentic systems, tool-use workflows, content generation, data extraction, code assistants, and multi-turn conversations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when a user says "summarise ecosystem results", "summarize this ty ecosystem report", "what changed in this ecosystem run?", or asks to summarise or summarize ty ecosystem results for a Ruff PR from a PR number, PR URL, GitHub ecosystem-results comment, or detailed HTML report.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Ultimate Design System Intelligence. Manage, extract, replicate, and improve UI design systems. Extracts design tokens visually from existing sites (Harvester v5), manages multi-page tokens, and utilizes MCP servers like Google Stitch and Pencil.dev to generate complete, consistent design systems (Shadcn UI, Halo, Lunaris, Nitro). Use when the user asks to "extract design from a URL", "create a Shadcn design system", "analyze design tokens", "build a design system for", or "copy the UI style of".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

"Apply Sociotechnical Systems Theory to analyze and design work systems through joint optimization of social and technical subsystems. Use this skill when the user needs to diagnose why a technology implementation disrupted work practices, design IT-enabled work systems that balance human and technical needs, or when they ask 'why did this system hurt productivity despite being technically sound', 'how do we design work around new technology', or 'why are people resisting this technically superior system'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.