'solutions' 검색 결과

Build, update, explain, or review Microsoft Agent Framework applications in .NET or Python. The skill guides agent and workflow design using current official documentation and supports migration from Semantic Kernel or AutoGen.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an agent application in .NET or Python
• Review agent and workflow design
• Migrate from Semantic Kernel or AutoGen

Help junior developers and AI newcomers understand code through guided questions and progressive hints. Support debugging, concept learning, and critical review of AI-generated code so learners can explain their reasoning and work toward solutions themselves.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understand errors through guided questions
• Explain AI-generated code in your own words
• Learn with pseudocode and progressive hints

Turn an urban IoT idea, such as connected lighting or traffic monitoring, into an Azure architecture and delivery plan. Define device connections, data flows, security, operations, cost controls, and phased implementation tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan an Azure IoT platform for city services
• Design data flows from devices to analytics and alerts
• Review security, operations, and cost requirements

Consult another AI agent for advice, proposed solutions, reviews, or decision support. Choose from available agents, preserve context across follow-up conversations, and submit longer tasks in the background with status checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ask another agent for a second opinion
• Request a review of a proposed solution
• Continue a conversation with its previous context

Evaluate threat intelligence platforms, which collect and organize cyber threat information. Define requirements, compare integrations and operating costs, plan practical trials, and use weighted scoring to select a platform and outline its rollout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing requirements for TIP procurement
• Comparing platforms before a TIP migration
• Checking whether an existing TIP meets team needs

Evaluate code generation models with HumanEval, MBPP, and other benchmarks. Test generated programs, compare models across programming languages, and record pass@k scores, which estimate the chance that at least one of k solutions passes the tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing code generation models on shared benchmarks
• Measuring correctness across programming languages
• Evaluating models trained to follow instructions

Turns recurring workflows and proven debugging solutions into reusable skill packages. It creates SKILL.md, a readable overview, and optional supporting examples from a user description or saved project memory, with checks for completeness and portability.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving a debugging solution as a reusable skill
• Packaging recurring workflows for other projects
• Turning saved project knowledge into documented procedures

Use German-language guidance to organize multi-step agent work in Markdown files. Store plans, findings, and progress by task, then revisit those records to resume research, review decisions, and track unfinished phases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Managing research with German-language guidance
• Recovering task context after a break
• Separating plans for concurrent tasks

Turn a product idea into a Lean Canvas, a nine-part outline of business assumptions. Define customer problems, solutions, value, channels, revenue, costs, and metrics, then identify risky assumptions and suggest experiments to test them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing business assumptions for a new venture
• Clarifying target customers and the value offered
• Reviewing revenue, costs, and key metrics together

Document a solved and verified problem when its reasoning is missing from code, tests, and existing documentation. Save one durable lesson in the repository so future agents can find it and avoid repeating substantial investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording reasoning behind a verified fix
• Preserving lessons to prevent recurring mistakes
• Updating a lesson that has become inaccurate

Address existing feedback on a GitHub pull request, a proposed code change. Evaluate comments against the code, apply valid fixes, and verify replies and thread resolution, with options for local handoff or resuming saved work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Addressing feedback across a pull request
• Handling a specific review thread
• Preparing local fixes for someone else to publish

Audit saved project learnings against the current codebase to find outdated explanations, overlapping documents, and contradictions. Maintain the documentation with evidence-based updates, consolidation, replacement, or deletion, and deliver a per-document report with committed changes when applicable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking saved learnings against current code
• Consolidating overlapping knowledge documents
• Correcting outdated paths and links

Develop time-series and event-data solutions with TimescaleDB, an extension for PostgreSQL. The skill provides organized references for installation, time-based tables, ongoing aggregate calculations, compression, and performance troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learn how to install and use TimescaleDB
• Design tables for time-series and event data
• Implement time-bucket and continuous aggregates

Design security controls for Google Cloud Agent Gateway, covering incoming client requests and outgoing agent tool calls. Produce architecture diagrams, configuration files, deployment commands, and validation scripts using Model Armor, IAP, and Agent Registry.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design incoming and outgoing agent communication controls
• Prepare Model Armor filters and tool access policies
• Generate scripts to check authentication and allowed tool calls

Design a Google Cloud system that combines multiple services, starting with a discussion of business and technical requirements. The skill produces service recommendations, architecture diagrams, deployment guidance, and validation plans, with user approval at each stage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gather requirements for a new cloud workload
• Compare and select services for a cloud migration
• Create a diagram and explain system data flows

Design a Google Cloud system for data analysis or machine learning with AI agents. Turn requirements into product choices, an architecture diagram, infrastructure configuration, deployment instructions, and validation steps, with user reviews between phases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a data analysis system with multiple AI agents
• Choose Google Cloud products for analytical requirements
• Prepare an architecture diagram and deployment guide

Develop solution ideas through repeated rounds of research, cross-domain borrowing, recombination, and evaluation. Receive ranked candidates with feasibility and novelty scores, supporting and opposing arguments, and a record of where each idea came from and how it changed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop newsletter retention strategies
• Find approaches inspired by other fields
• Combine and refine existing feature ideas

Prepare for engineering interviews with structured practice in algorithms, system design, and questions about past experience. Develop explanations of your reasoning, analyze solution efficiency, discuss design tradeoffs, and organize concrete stories about your work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Practicing algorithm problems and explaining solutions
• Rehearsing system design interviews
• Structuring stories about past work experience

Update a QM source fork or its deployed package dependency and prepare a pull request. The workflow preserves local customizations, resolves merge conflicts, checks configuration compatibility, and records validation results for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Merge upstream QM changes into a customized source fork
• Upgrade a deployment’s pinned QM package version
• Prepare an update PR with conflict resolutions and check results

Evaluate code generation models with HumanEval, MBPP, and multilingual benchmarks. The skill guides test execution and model comparisons using pass@k, an estimate of whether at least one of k generated solutions passes the tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare code generation models on shared benchmarks
• Measure code generation performance across languages
• Evaluate instruction-tuned coding models

Track gaps between regulatory requirements and company policies, including owners, deadlines, and remediation status. Surface overdue and aging items, record resolutions or accepted risks, and prepare Slack notifications that require explicit confirmation before sending.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing open policy gaps by owner and deadline
• Recording gaps found by policy-diff
• Sending confirmed Slack reminders to gap owners

Draft board and committee meeting minutes using the format of past minutes. Organize agendas, supplied materials, attendance, resolutions, and votes into a draft, with placeholders and a checklist for attorney review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting board minutes from an agenda and presentation slides
• Matching committee minutes to an established house format
• Checking attendance, quorum, and voting details before review

Draft board or committee approvals without a meeting using prior consents and company formatting. Produce a consent draft, signatory checklist, and review prompts covering director conflicts, state-law notice requirements, and actions needing outside counsel review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting written approval for an officer appointment
• Preparing board consent for equity grants
• Updating bank account signing authority

Practice spoken answers to product manager interview questions about designing or improving products. Follow six steps to clarify assumptions, choose users, prioritize a problem, and compare solutions before selecting an MVP, a first version with limited scope.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Practicing answers to product improvement interview questions
• Preparing for product design interview questions
• Turning scattered ideas into a clear spoken answer