'traces' 검색 결과

상시 실행되는 AI 에이전트의 시작·중지, 로그 모니터링, 권한 관리, 단계적 업데이트와 롤백 절차를 정리합니다. 장애 대응과 성공률·비용 평가를 지원합니다.

• 상시 실행 에이전트의 운영 설계하기
• 실패가 급증할 때 장애 대응하기
• 업데이트와 롤백 절차 마련하기

Playwright로 브라우저 조작을 재현하는 테스트를 만들고 화면별 작업 정리와 자동 실행을 지원합니다. 간헐적 실패를 조사하고 이미지, 영상, 실행 기록을 저장합니다.

• 로그인과 검색 동작을 확인할 때
• 화면별 테스트 작업을 정리할 때
• 간헐적으로 실패하는 테스트를 조사할 때

운영 환경의 동작과 장애 원인을 추적하도록 로그, 지표, 서비스 간 처리 경로와 알림을 설계합니다. 실제 출력과 알림까지 검증합니다.

• 운영 기능의 모니터링 정보 구성
• 서비스 간 로그 연결
• 알림과 대응 절차 검토

claude-mem에 저장된 개발 이력을 읽어 설계 변화, 난제 해결, 작업 패턴을 서사형 보고서로 정리하고, 기억 재사용으로 절약한 토큰을 추정합니다.

• 프로젝트 개발 이력을 돌아볼 때
• 설계 결정과 영향을 추적할 때
• 오류 조사와 작업 패턴을 살필 때

Archify의 실제 도표와 에이전트 작업 기록으로 정확성·가독성·완료 시간을 평가합니다. 변경 전후를 비교해 배치, 연결선 경로와 작성 절차를 개선합니다.

• 도표 배치와 연결선 경로 비교하기
• 도표 수정이 반복되는 원인 조사하기
• 도표 작성 절차의 개선 효과 검증하기

Guide GAIA benchmark runs from environment checks and cost estimates to result comparison. Create a signed submission package compatible with HAL, including agent traces, metadata, and an audit report that checks for benchmark exploitation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check readiness for a GAIA benchmark run
• Estimate costs and run an evaluation
• Package existing results for submission

Experiment with the policies that govern an AI agent, such as planning, memory, and tool use. Test one policy change per variant in a sandbox, an isolated environment, and promote only candidates with measured improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding policy changes that improve low evaluation scores
• Exploring initial agent settings for a new domain
• Comparing manual tuning with an evolved baseline

Create a substantial technical manual for one exact system version. Organize authoritative sources, record offline inputs and outputs, explain behavior with figures, and audit the text and supporting evidence for consistency.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting a protocol or file format at a fixed version
• Building reproducible offline request and response records
• Adding a section with figures and traceable sources

Automate forms, clicks, screenshots, and website checks in a browser where you are already signed in. A separately launched browser also supports scraping and network capture, while login or verification steps can be handed to a person.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill forms on websites where you are already signed in
• Capture screenshots and check website behavior
• Record network traffic in a separately launched browser

Guide implementation and debugging of visual Sequence editing in Remotion Studio. It documents how sequence identifiers, node paths, and stack traces behave during hot reload, and suggests how to track expanded UI state.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Debug Sequence identity during hot reload
• Review how expanded Sequence state is tracked
• Check node-path and stack-trace mappings

Operate NVIDIA Nsight Graphics from the command line to capture application frames and GPU activity. Summarize performance traces, analyze existing capture files through ngfx-replay, and check installed versions and compatibility before starting an investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check installed Nsight Graphics versions and compatibility
• Capture frames from a graphics application
• Summarize GPU activity and investigate performance bottlenecks

Reconstruct how an AI coding agent produced a feature, pull request, or report using local ax records. Connect sessions, commits, skills, and tool activity into an evidence-based sequence with key decisions, checks, and a repeatable recipe.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing how a shipped feature was built
• Reconstructing development from a commit
• Finding the workflow behind work done on a known date

Audit an AI agent's completion claims using existing logs, artifacts, approvals, and deployment records. Reconstruct the run and assess each claim separately, distinguishing proven results, partial support, contradictory evidence, and missing proof without rerunning the work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether an agent's completion report has supporting evidence
• Reviewing tool calls, retries, and checkpoint recovery
• Matching approvals and deployments to the same artifact

Understand a codebase before searching for bugs or vulnerabilities. This skill examines functions line by line, documents assumptions and state changes, and traces calls across modules to build an evidence-based picture of system behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding a codebase before a security audit
• Tracing data and state changes across function calls
• Documenting assumptions for an architecture review

Add Application Insights monitoring to browser apps to record page views, clicks, network requests, and errors. Also covers custom measurements and tracing generative AI operations across browser and backend code to investigate behavior and performance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitoring page views and clicks in a browser app
• Recording network requests and application errors
• Linking browser activity to backend traces

Trace mailbox abuse in a CTF sandbox, a controlled security challenge environment. The skill connects OAuth permissions, forwarding rules, delegated access, and message logs to concrete mail effects, documenting the smallest reproducible sequence and supporting evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace how OAuth consent enables mailbox access
• Investigate forwarding and inbox rule effects
• Verify shared mailbox and delegated access

Review suspicious emails for phishing and business email fraud by examining sender authentication, message content, links, and attachments. Organize indicators of compromise, which are traces of malicious activity, and recommend controls for the email environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a suspected phishing email
• Reviewing SPF, DKIM, and DMARC settings
• Checking for business email fraud

Add structured logs, performance metrics, and traces that follow requests across Python services. Establish consistent log fields and request IDs so production failures can be investigated using recorded activity and service health signals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding searchable JSON logs
• Collecting service metrics with Prometheus
• Following requests across multiple services

Build end-to-end tests with Playwright and Cypress to check complete user workflows, such as login and checkout. Improve test reliability through stable element selection, independent test data, appropriate waits, and debugging with traces and screenshots.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automate tests for login and checkout workflows
• Investigate tests that fail intermittently
• Run browser tests in CI/CD pipelines

Set up monitoring for communication between services in Istio or Linkerd environments. Combine metrics, logs, and distributed traces, which follow requests across services, to investigate delays and errors, visualize dependencies, and define service quality targets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace requests across multiple services
• Create communication metrics and dashboards
• Investigate latency, errors, and connectivity issues

Turn current, prior-period, and budget figures into a financial variance commentary table. It identifies lines needing explanation, traces changes to underlying business activity, and adds a short narrative covering the period's largest movements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing month-end close commentary
• Explaining actual results against budget
• Reviewing major balance-sheet movements

Use OpenViking through OpenClaw to manage long-term memories, search archived conversations, and find imported resources or Agent Skills. Inspect recall traces to understand search results and recover full tool outputs stored outside the conversation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recall past preferences and decisions
• Find exact commands in archived conversations
• Import and search documents or Agent Skills

Set up Phoenix tracing for LLM applications in Python or TypeScript. The skill guides automatic and custom recording of individual operations, conversation grouping, metadata, feedback, and production settings such as batching and personal data masking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up tracing for an LLM application
• Record document retrieval and tool calls
• Group conversation traces by session

Convert Simplicité text logs into structured JSON while keeping only the fields needed for troubleshooting. Preserve multiline errors and stack traces, and reduce the amount of log content passed to an AI agent for analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing large logs for AI analysis
• Extracting timestamps, severity levels, and messages
• Preserving multiline errors during conversion