'sam' 검색 결과

Build and deploy AWS Lambda functions without managing servers. Guidance covers APIs, scheduled jobs, event triggers, permissions, shared dependencies, and performance tuning, with code and command examples for deployment and troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building lightweight APIs with API Gateway or function URLs
• Running scheduled jobs with EventBridge
• Processing S3 uploads or SQS messages

Develop firmware and drivers for ARM Cortex-M microcontrollers, including Teensy, STM32, nRF52, and SAMD. Get complete modules with initialization and usage examples, plus guidance on interrupts, memory handling, data transfers, performance, and fault diagnosis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an SPI driver for an external sensor
• Design interrupt-driven UART reception
• Review DMA transfers and cache consistency

Plan an A/B test to compare product changes, with a clear hypothesis, variants, sample estimates, and tracking checks. Define success metrics and stopping rules before launch, then document results and decisions.

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• Planning a signup form A/B test
• Estimating sample size and test duration
• Checking event tracking before launch

Solve competition mathematics problems and examine proofs through independent agents that actively look for gaps, counterexamples, and misused theorems. Produces a checked argument or clearly states what remains unresolved, with optional PDF output.

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• Solve an IMO or Putnam problem
• Check a competition proof for gaps
• Find counterexamples to claims within a proof

Analyze binaries, malware samples, memory dumps, and packet captures in sandboxed security challenges. Trace program behavior, investigate crashes, and verify exploit conditions while preserving original files, decoded artifacts, and observable evidence for reproducible findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reverse engineer a binary’s structure and behavior
• Unpack a malware sample and separate its components
• Investigate crashes and verify exploit conditions

Research social discussions using public posts or authorized exports, and produce reports that link each claim to inspected evidence. Track duplicate posts, distinguish speakers, document access gaps, and audit conclusions that exceed the observed sample.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing product discussions across social platforms
• Creating cited reports from supplied post exports
• Checking repost duplication and comment attribution

Check Microsoft API usage against official documentation and code samples. Find methods, parameters, and packages for Azure SDKs, .NET libraries, and Microsoft APIs, then compare implementations to investigate errors or outdated patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify methods and parameters before writing code
• Find official code samples for authentication or uploads
• Investigate missing methods and type errors

Add or verify model support in SGLang's Rust processor so chat requests produce the same prompt text and token IDs as Python. Use reference-generated test cases to find differences in tools, reasoning settings, conversation history, and errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding model support to sglang-processor
• Porting model rendering from sgl-router
• Rechecking prompt behavior after a Dynamo update

Examine recorded calls and voicemails for signs of AI-generated speech. Extract acoustic features, classify samples with machine learning, and prepare reports with confidence scores and sound visualizations to support voice impersonation investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating calls impersonating executives
• Checking suspicious voicemails
• Comparing suspect recordings with genuine voice samples

Plan a prospective clinical study by ranking endpoints, estimating participant numbers and statistical power, and assessing feasibility. Outputs include assumptions and named reviewers, providing material for expert review before a protocol is finalized.

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• Choosing primary and secondary study endpoints
• Estimating sample size with dropout allowance
• Assessing feasibility before a study review

Route enterprise research questions to specialized skills for clinical studies, R&D finance, market research, or user research. Receive a concise digest of findings, next actions, output files, and assumptions that need human review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a clinical study and sample size
• Review R&D budgets and spending classifications
• Estimate market size and design surveys

Plan and evaluate product A/B tests with clear hypotheses, success metrics, sample size estimates, and stopping rules. Rank proposed experiments and interpret results using effect sizes and uncertainty to support practical product decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a product improvement idea into a testable hypothesis
• Estimate the sample size needed for an A/B test
• Rank experiments by impact, confidence, and ease

Analyze A/B test results to decide whether to launch a change, extend testing, stop, or investigate further. Check sample size, statistical significance, uncertainty ranges, and effects on other important metrics, then summarize the recommendation and next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether an A/B test shows a meaningful difference
• Reviewing sample size and test duration
• Deciding whether to launch a tested change

Measure chat layout jumps while a response runs by tracking the Working line through CDP, a browser debugging connection. Count upward movements and compare the same prompt before and after changes to status lines, step rows, or folding behavior.

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• Checking layout jumps after changing progress displays
• Measuring jumps caused by collapsing content
• Comparing flicker before and after a UI change

Configure Cloud Logging within one Google Cloud project. Set storage locations, retention periods, routing rules, and viewing permissions; create metrics from logs; and adjust stored volume through exclusions or sampling, which retains only a portion of entries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set regional log storage and retention periods
• Restrict access to sensitive logs
• Count specific errors with logs-based metrics

Develop varied ideas for names, writing angles, and problem solving by exploring five candidates internally and presenting the strongest. It also expands small example collections into diverse datasets for evaluation, training, or testing.

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• Finding a distinctive product name
• Developing a fresh angle for a blog post
• Exploring solutions to a technical problem

Create masks that identify object regions in images using points, boxes, or existing masks. The skill guides automatic mask generation, transparent-background extraction, annotation workflows, and deployment, without requiring training for each specific task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting objects with transparent backgrounds
• Building annotation tools with point and box selection
• Generating object masks automatically

Create or modify Excel workbooks, then independently check the saved file with Python. Verify required sheets, columns, populated cells, row counts, and sample selections against the requested structure before reporting the work as complete.

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• Creating Excel workbooks from reference data
• Identifying the correct workbook before editing
• Checking required sheets, columns, and row counts

Update or create Excel workbooks with checks against the requested structure. Identify the correct file before editing, then reread the saved workbook to verify sheet names, populated columns, row counts, and selected sample counts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify the correct workbook among similarly named files
• Verify required sheets and columns after editing
• Check selected sample counts and required selection criteria

Plan or run DNA analysis to find small genetic changes in tumors, using tumor samples alone or paired with normal tissue. Check sample pairing, contamination, data quality, filtering, and annotations that add information to detected variants.

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• Planning analysis of paired tumor and normal samples
• Reviewing filtering and limitations for tumor-only analysis
• Checking quality in whole-genome, exome, or cancer-panel data

Plan or run ATAC-seq analysis to identify accessible DNA regions. Check sequencing quality, align reads, detect peaks, combine evidence across replicate samples, and prepare comparisons between conditions with quality summaries and visualization tracks.

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• Check the quality of ATAC-seq samples
• Detect accessible DNA regions from FASTQ or BAM files
• Build consensus peaks across replicate samples

Retrieve study, mutation, clinical, and sample data from cBioPortal and turn the results into concise summaries. Use it to browse studies, inspect molecular profiles, or look up mutations for specified genes.

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• Find studies by keyword
• Look up mutations for a specified gene
• Review clinical and sample information

Design charts and dashboards that show data distributions, uncertainty, missing values, and sample sizes clearly. Choose visual forms that preserve meaningful variation and explain where averages, aggregation, or interval choices could mislead readers.

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• Choosing a chart to show a data distribution
• Presenting confidence intervals clearly
• Revealing variation hidden by dashboard averages

Investigate clickjacking, where a hidden page tricks users into unintended clicks. Check protective headers, then verify in a real browser whether the embedded page retains authentication and allows sensitive actions.

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• Reviewing payment and account settings pages
• Testing OAuth authorization screens
• Checking pages with missing frame protection