'expertise' 검색 결과

수출입 상품의 관세 분류, 통관 서류 검토, 제재 대상 대조를 돕습니다. 미국, EU, 영국, 아시아 태평양의 무역 실무와 관세 혜택, 세관 질의 대응을 정리합니다.

• 상품 사양으로 관세 분류를 검토합니다
• 상업 송장과 원산지 증명을 확인합니다
• 자유무역협정의 특혜 조건을 검토합니다

claude-mem 작업 기록을 주제, 기간, 파일별로 골라 목적에 맞는 지식 기반을 만듭니다. 대화를 통해 과거의 판단과 수정 이력을 질문할 수 있습니다.

• 특정 기술 주제의 지식을 모을 때
• 지정한 기간의 판단을 돌아볼 때
• 서비스 수정 이력을 대화로 확인할 때

Coordinate decisions across multiple AI agents by synchronizing shared memory, combining knowledge, and weighing input by expertise. The skill also guides workload distribution, conflict handling, and recording decisions with their rationale.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine agent opinions into a shared decision
• Synchronize knowledge across agents
• Redistribute work when an agent is overloaded

Audit or create a dedicated About page that explains a website’s purpose and identifies its people or organization. Review the rendered output and supporting information, including expertise and contact details, to find gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a website’s About page
• Creating a page about the organization and its mission
• Checking how operator information appears in rendered output

Map security threats into attack trees, branching diagrams that connect an attacker’s goal to possible steps. Assess cost, time, expertise, and detection likelihood to identify defense gaps, prioritize mitigations, and explain risks to stakeholders.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Visualizing complex attack scenarios
• Identifying defense gaps and priorities
• Explaining security risks to stakeholders

Coordinate with other QwenPaw agents when a task needs their expertise, files, or context. Discover available agents, exchange messages, continue existing conversations, and submit longer tasks in the background while other work proceeds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ask a specialist agent for a second opinion
• Consult another agent about its files or context
• Delegate analysis or reports as background tasks

Consult another agent for specialist advice, reviews, or workspace context through QwenPaw commands. Keep follow-up conversations connected using session identifiers, and submit longer tasks in the background while continuing other work and checking results later.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ask a specialist agent for advice
• Request a second opinion or review
• Consult an agent with relevant files or context

Coordinate specialized agents in Claude Code to divide development and review tasks, pass findings between stages, and combine results into one report with prioritized recommendations and action items.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing code from security, performance, and quality perspectives
• Coordinating frontend, backend, and database work
• Combining specialist findings into a prioritized report

Combine capabilities from multiple fine-tuned LLMs without retraining using mergekit. Choose a merging method, configure how models are blended, and evaluate the resulting model on tasks such as math, code generation, and conversation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combining math, coding, and conversation capabilities
• Blending two models at different ratios
• Comparing variants made with different merging methods

Plan and conduct internal audits for medical device quality management systems under ISO 13485. Organize evidence, classify findings, verify corrective and preventive actions, and prepare for external audits with structured checklists and risk-based scheduling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan an annual internal audit schedule
• Document audit evidence and classify findings
• Verify the effectiveness of corrective actions

Design systems that collect, transform, and store data. Choose between scheduled and continuous processing, generate workflow configurations, validate data quality, and analyze performance using guidance for tools including Python, SQL, Spark, Airflow, dbt, and Kafka.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing data ingestion and transformation pipelines
• Choosing scheduled or real-time data processing
• Checking data freshness, completeness, and uniqueness

Compare options through a debate among agents given distinct expertise and positions for the topic. Choose a three-round discussion with a visible transcript and synthesis, or a one-round check that presents initial perspectives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare technical options from several perspectives
• Review an API design with a quick perspective check
• Examine an important decision through structured debate

Assess web content for usefulness, readability, depth, and evidence of experience and expertise. Get quality scores and improvement suggestions, review how clearly content supports AI citations, and clean up formulaic phrasing and invisible characters in drafts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review article quality before publication
• Check author credentials and supporting evidence
• Review answer structure and sources for AI citations

Combine specialized language models without retraining using mergekit. The skill explains how to choose merging methods, configure each model’s contribution, compare resulting variants, and prepare a merged model for evaluation and deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine math, coding, and conversation capabilities
• Compare model variants with different merge weights
• Choose a method for merging several models

Simulate a decision meeting with three to five AI roles with different expertise and personalities. Follow their debate and receive a meeting record covering conclusions, supporting arguments, risks, and suggested next actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare technical architecture options
• Discuss pricing strategies for a new product
• Identify project risks and possible responses

Manage rejected work in an AI team by assigning revisions to a different agent. Defines author lockouts, independent revision requirements, specialist escalation, and when the coordinator must ask the user to resolve a deadlock.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reassigning revisions after a review rejection
• Bringing in an agent with specialist expertise
• Checking that a revision author is eligible

Build a seven-day LinkedIn content calendar around an audience and theme. Get post angles, formats, opening approaches, calls to action, posting times, and daily commenting targets, with checks for balance across the week.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a week of LinkedIn content
• Coordinating posts for a product launch
• Balancing expertise, personal stories, and community posts

Review nine parts of a LinkedIn profile and get prioritized fixes with before-and-after rewrites. Tailor headlines, About sections, work experience, and featured content to attracting clients, finding a job, or establishing professional expertise.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing a LinkedIn profile before starting a content strategy
• Rewriting a headline and About section
• Choosing featured content for client outreach or job seeking

Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a manuscript before journal submission
• Examine research methods and statistical validity
• Challenge core arguments and alternative explanations

World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Real-Time Intelligence, EventHouse, Log Analytics, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.