'engineer' 검색 결과

Plan and run authorized security tests that simulate deceptive emails, calls, text messages, and in-person approaches. Measure employee responses, compare results across test methods, and report gaps in security awareness training and access controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an authorized social engineering assessment
• Measuring responses to simulated phishing
• Evaluating phone and physical access checks

Open the hosted context-mode Insight dashboard in your default browser to access analytics for AI-assisted engineering teams, including productive rates per engineer, retry waste, blockers, and views tailored to different roles.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Opening the team's development analytics dashboard
• Reviewing productive rates and retry waste per engineer
• Checking blockers and views tailored to team roles

Find the right skill among 37 advanced engineering options for architecture, development, automation, and operations. The index maps tasks to individual skills, helping you choose which instructions to load for a specific job.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding a skill for agent or RAG design
• Choosing database design and query optimization skills
• Finding deployment automation and monitoring skills

Learn how instructions, documents, tool results, and conversation history form an AI model’s context. Understand attention limits, why information in the middle can be missed, and how relevance and placement inform decisions about what to include.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning the basics of context engineering
• Understanding why more input does not always help
• Explaining how instruction placement affects attention

Apply the bioengineering, translational systems biology, and tissue modeling frameworks of Linda Griffith, Professor of Biological Engineering at MIT and tissue engineering pioneer. Use this skill whenever facing decisions, designs, or evaluations in bioengineering, tissue modeling, microphysiological systems (organs-on-chips), synthetic matrix design, disease subtyping, or drug target validation. Reach for this skill when evaluating preclinical models (human vs. animal), reframing overlooked or neglected pathologies into rigorous engineering challenges, selecting biomaterials, designing cell signal processing assays, or diagnosing operational flaws in experimental platforms (e.g., PDMS compound absorption or Matrigel lot variability).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design and implement a feature engineering pipeline for a ML problem. Use when asked to "engineer features for this model", "what features should we build", or "design feature transformations".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work. Use for thermal-fluid systems, heat transfer, fluid mechanics, thermodynamics, HVAC, energy systems, turbomachinery, piping, multiphase flow, experiments, correlations, CFD, reduced-order models, AI/ML, uncertainty, engineering datasets, literature reviews, citations, manuscripts, reviewer revisions, Overleaf packages, figures, proposals, research software, reproducibility, public releases, engineering teaching materials, or a research-project logo and visual identity.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when a task needs the judgment of an Energy Engineer working on building and industrial energy efficiency — running an ASHRAE Level 1/2/3 energy audit, calculating envelope heat loss/gain with the degree-day method, comparing HVAC equipment on SEER/EER/IEER/COP rather than nameplate alone, designing an IPMVP measurement and verification (M&V) plan, or ranking energy conservation measures (ECMs) by savings-to-investment ratio for a capital plan. Distinct from a wind-energy-engineer or solar/PV engineer (own generation-asset design and yield) and from an electrical-engineer (owns utility-scale power delivery and protection) — this role owns the demand side: how much energy a building or process actually needs, and which retrofit reduces that number with numbers that hold up after the fact.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Patterns for vibe coding that produce production-quality output instead of garbage. Covers prompt engineering for AI coding, verification without reading every line, accept/reject/refine decision framework, architectural guardrails, context management (CLAUDE.md, .cursor/rules), TDD-driven vibe coding, screenshot-driven development, diff review discipline, and the anti-patterns that destroy quality. Activate on: "vibe coding", "AI coding quality", "Claude Code workflow", "AI-assisted development", "how to use AI for coding", "coding with AI", "agentic engineering workflow", "AI code quality", "vibe code without garbage", "production quality AI code", "CLAUDE.md setup", "cursorrules setup", "pre-commit hooks for AI", "TDD with AI", "test-driven vibe coding". NOT for: multi-person collaborative coding sessions (use cooperative-vibe-coding), building AI/LLM applications (use ai-engineer), prompt engineering for non-coding LLM use cases (use prompt-engineer).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Introduce people to AI, agentic AI, and AI skills with appropriate pedagogy for any audience. Covers LLM analogies, progressive complexity paths, aha-moment demos, audience-tailored explanations, workshop design, and overcoming emotional barriers to AI adoption. Activate on 'explain AI', 'introduce AI', 'AI workshop', 'AI demo', 'teach AI', 'AI literacy', 'onboard to AI', 'AI evangelism', 'explain agentic', 'explain skills to', 'AI training session', 'AI onboarding'. NOT for teaching ML engineering (use ai-engineer), not for building AI features (use ai-engineer), not for prompt engineering (use prompt-engineer), not for building training data pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert-level climate engineering covering carbon capture and storage, direct air capture, solar geoengineering, enhanced weathering, and carbon accounting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

23 engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365. 30+ Python tools (stdlib-only).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Introduce people to AI, agentic AI, and AI skills with appropriate pedagogy for any audience. Covers LLM analogies, progressive complexity paths, aha-moment demos, audience-tailored explanations, workshop design, and overcoming emotional barriers to AI adoption. Activate on 'explain AI', 'introduce AI', 'AI workshop', 'AI demo', 'teach AI', 'AI literacy', 'onboard to AI', 'AI evangelism', 'explain agentic', 'explain skills to', 'AI training session', 'AI onboarding'. NOT for teaching ML engineering (use ai-engineer), not for building AI features (use ai-engineer), not for prompt engineering (use prompt-engineer), not for building training data pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

개발 스킬의 첫 사용에 앞서 작업 관리 위치, 분류 라벨, 용어집과 설계 결정 기록의 위치를 확인합니다. 사용자 검토를 거쳐 저장소 공통 설정 문서를 정리합니다.

• 개발 스킬의 초기 설정
• 작업 관리 위치와 분류 라벨 정리
• 용어집과 설계 결정 기록의 위치 결정

AI 에이전트가 맡는 개발의 완료 조건을 정하고 검증 가능한 작업으로 나눕니다. 구현 전후 평가를 비교하고 난도에 맞는 모델 선택과 비용·시간 기록을 정리합니다.

• AI 에이전트에 맡길 개발을 계획합니다
• 큰 변경을 검증 가능한 작업으로 나눕니다
• 구현 전후 평가 결과를 비교합니다

Create engineering retrospectives from Git history, covering delivered changes, work patterns, test code ratios, and frequently changed files. Review individual contributions and improvement opportunities, save metrics, and compare results with earlier periods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing a week of engineering work
• Reviewing individual contributions and improvement opportunities
• Checking test ratios and frequently changed files

Create an HTML engineering presentation using the tech-sharing template, with OpenDesign internals as the example subject. Organize the slide plan, supporting evidence, visual direction, and speaker notes, with presentation controls and animation support.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining OpenDesign internals to engineers
• Preparing slides for a developer community talk
• Building an evidence-based AI implementation presentation

Search software, data, and engineering jobs across countries through freehire.me. Filter by skills, seniority, location, posting age, and remote work, and retrieve full descriptions to assess opportunities or inspect a specific posting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find remote React jobs in the EU
• Search recent DevOps openings in Germany
• Compare senior backend engineering roles

Plan AI application work across six areas: prompt evaluation, context allocation, retrieval-based answer generation, agent security, evaluation pipelines, and product strategy. This overview explains the approaches; the individual workflow packages, test cases, and CI templates are not included.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning prompt evaluation before deployment
• Allocating context capacity and designing retrieval-based answers
• Planning an authorized AI agent security assessment

Create incident response runbooks with ordered recovery steps, severity levels, escalation contacts, and status update templates. Help on-call engineers follow clear procedures during outages, verify recovery, and keep stakeholders informed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a payment service outage runbook
• Documenting database incident recovery
• Preparing guides for new on-call engineers

Analyze Go malware binaries in Ghidra by extracting build metadata, function names, dependencies, and relevant strings. Use GoResolver to help recover obscured names and organize functions so analysts can focus their reverse engineering work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating the structure of a Go malware sample
• Recovering function names from stripped or obfuscated binaries
• Identifying embedded Go modules and dependencies

Turn an unresolved customer issue into a structured brief for the right team. Gather context, document reproduction steps, assess customer and business impact, and clarify the action and deadline needed from engineering, product, security, or leadership.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a bug report for engineering
• Consolidating reports of an issue affecting multiple customers
• Escalating an issue that puts a customer renewal at risk

Create or improve AI prompts through a guided conversation about goals, roles, examples, and output formats. Receive a complete, reusable prompt with an explanation of its design, including behavioral boundaries for public-facing AI roles when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving an existing AI prompt
• Designing prompts for product naming
• Defining boundaries for a customer service bot

Analyze a codebase to draft onboarding documents covering project structure, technologies, local setup, and common tasks. Tailor the depth for junior engineers, senior developers, or contractors, with troubleshooting guidance and contribution checklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Onboarding a new engineer or contractor
• Updating project guides after a major refactor
• Preparing technical handoff documentation