'cis' 검색 결과

인터뷰, 문의, 설문을 정리해 제품과 디자인 결정에 쓸 HTML 화면을 만듭니다. 근거, 주제, 확신 수준, 개선안 비교와 다음 실험을 함께 제시합니다.

• 인터뷰와 고객 문의를 함께 분석합니다
• 초기 설정 개선안을 비교합니다
• 관계자에게 근거와 불확실성을 공유합니다

Create AgentDB learning plugins that use recorded experience to improve agent decisions. Choose a learning method, store states, actions, and rewards, train models, and evaluate suggested actions through CLI and API workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train agents from historical experience
• Build decision-making for games and navigation
• Combine experience from multiple agents for training

악성코드 감염 지표, 공격자 제어 서버 주소, 악용이 확인된 취약점 정보를 가져와 유형, 출처, 심각도, 관측 기간별로 현재 사이버 위협을 조사합니다.

• 최근 악성코드 지표를 조사합니다
• 심각한 악용 취약점을 확인합니다
• 공격자 제어 서버 지표를 확인합니다

AgentDB에서 경험 데이터를 활용하는 학습 플러그인을 만듭니다. 용도에 맞는 학습 방법 선택부터 행동과 보상 기록, 모델 훈련과 평가까지 진행합니다.

• 과거 경험으로 에이전트 학습
• 게임과 경로 선택의 의사 결정 구현
• 여러 에이전트의 경험을 모아 학습

Work through project decisions one question at a time, with a recommendation and brief reasoning. Record each settled answer immediately in project documentation, keeping unresolved questions visible and documents marked as drafts until explicitly accepted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarify goals and boundaries before implementation
• Record decisions as an interview progresses
• Preserve decisions when discussions are interrupted

Work through project decisions one question at a time, with a recommended answer and a short explanation. Record settled choices in project documentation, including scope, completion criteria, constraints, risks, and unresolved questions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarify project goals through a decision interview
• Agree on deliverables and completion criteria
• Record settled decisions in project documentation

Make system architecture decisions by clarifying requirements and constraints, comparing benefits and drawbacks, and considering simpler alternatives. Record the reasoning in ADRs, architecture decision records, so significant choices and their rationale are documented.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying requirements before system design
• Comparing architecture patterns
• Documenting decisions and rationale in ADRs

Turn internal meeting transcripts or notes into concise minutes that emphasize decisions and next steps. Record attendees, decision reasons, assigned actions with deadlines, unresolved issues, and references in a consistent format for team follow-up.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating minutes from a weekly meeting transcript
• Organizing notes from a design review
• Recording action owners and deadlines

Set up Cisco Duo multi-factor authentication for VPN, RDP, SSH, and web applications. Configure access rules based on users and device health, introduce security keys, and establish authentication monitoring and emergency access procedures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Duo authentication to VPN and remote server access
• Strengthening authentication for privileged accounts
• Restricting access based on device health

Make system design decisions by clarifying requirements, identifying constraints, and comparing the benefits and drawbacks of different approaches. Record the reasoning in architecture decision records, or ADRs, while considering simpler alternatives and the team's experience.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing requirements before designing a system
• Comparing architectural patterns and trade-offs
• Documenting the reasons behind design decisions

Guide an agent through searching past decisions before work, saving new decisions with their reasons, and treating corrections as lessons. The workflow helps distinguish useful long-term knowledge from temporary details, code facts, and routine activity already captured by hooks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking earlier decisions before starting a task
• Saving a resolved issue with its underlying reason
• Preserving lessons from corrections

Examine strategic decisions through a structured meeting of AI agents representing executive roles. Gather independent recommendations, challenge assumptions, summarize disagreements, and record approved decisions with action owners and deadlines after the founder reviews the proposal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Evaluate market expansion from several executive perspectives
• Compare views on product direction or pricing
• Review hiring plans and organizational choices

Review a specific meeting’s notes and transcript to summarize decisions, commitments, named owners, and stated deadlines. Keep proposals and completed work separate, flag recording gaps, and draft a concise follow-up message when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing decisions and commitments after a meeting
• Checking explicitly stated owners and deadlines
• Distinguishing agenda proposals from agreed work

Adapt existing PyTorch training scripts to run across multiple GPUs or machines with Accelerate. This skill covers device setup, distributed training configuration, and mixed precision, which uses lower-precision numbers to reduce memory use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adapt a single-GPU training script for multiple GPUs
• Configure mixed precision to reduce training memory use
• Set up training with DeepSpeed or FSDP

Store phase documents verbatim in MemPalace, organized as decisions, plans, or milestones. Avoid duplicate entries and mirror decision or delivery facts into a knowledge graph that records when those facts became valid.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserve decision documents with their source information
• File plans and summaries by document type
• Record dated decision and delivery facts in a knowledge graph

Guides agents through sending human decision requests and updates using registered recipients. It covers concise briefs, delivery checks, duplicate prevention, and linking replies to the correct work so that delivery receipts are kept distinct from human decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sending a decision request with clear options
• Reporting an outcome that needs no action
• Investigating a failed or uncertain delivery

Turn AI-assisted coding work into optional, short learning exercises. Predict behavior, compare your approach with the implementation, or explain code in your own words, with feedback that helps clarify how the code works and why design choices were made.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding a newly created module
• Reviewing the reasoning behind a design decision
• Checking understanding after a database schema change

Design a GenLayer review workflow for agents acting on a blockchain. Define evaluation criteria, evidence formats, decision outputs, and the connection needed to turn review decisions into restrictions or revocation of delegated authority.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define review criteria for delegated agents
• Structure action logs, receipts, and spending evidence
• Design decisions to continue, warn, constrain, or revoke

Coordinate work across AI agents with shared rules for locating team files, recording decisions and their reasons, and requesting help. It also defines who owns revisions after a reviewer rejects an artifact.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Locate team files across separate working directories
• Record decisions that affect other agents
• Request input from another specialist

Turn existing research notes into an authoritative knowledge article after a team has made its decision. Records the outcome, rationale, trade-offs, and rejected alternatives while preserving source notes and links showing which documents the article replaces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting a decision after research
• Combining several research notes into one reference
• Updating an authoritative article with replacement links

Create AgentDB learning plugins that use recorded experience to improve agent decisions. Choose a learning method, store states, actions, and rewards, train models, and evaluate suggested actions through CLI and API workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train agents from historical experience
• Build decision-making for games and navigation
• Combine experience from multiple agents for training

Work through sixteen open questions in four rounds to clarify major product decisions, risky changes, or large refactors. The agent adapts later questions to earlier answers, then turns your decisions into a step-by-step implementation plan.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying decisions before a major product change
• Planning a large refactor
• Deciding rollout order for a risky change

[omh] Previously rejected options to revisit: recall scoped reviewed rejected decisions without elevating them to approved memory. Use when the user says: decision-recall, rejected decision recall, rejected decisions, why was this rejected, previously rejected alternative, 거절된 결정, 기각된 대안.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.