'baseline' 검색 결과

Test interface behavior in a real browser and save actions, checks, and screenshots in a replayable RVF session file. Use recorded sessions to repeat tests, investigate CI failures, and compare screenshots against an earlier baseline.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking user flows in a real browser
• Recording a baseline before interface changes
• Comparing screenshots with a previous test run

Compare accessibility findings between two versions of a web page. Identify newly introduced and fixed issues, count existing findings, and report evidence and suggested fixes without editing application code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check accessibility before committing local changes
• Compare a page against a branch baseline
• Confirm which accessibility issues a change fixed

Prepare a one-page briefing before a company's quarterly earnings report. Gather market estimates, rank key metrics, and outline optimistic, baseline, and pessimistic scenarios, including the developments that could influence the stock's reaction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a briefing before quarterly earnings
• Prioritizing company-specific metrics to watch
• Comparing optimistic, baseline, and pessimistic scenarios

Review source code for MCP, a protocol connecting AI applications to tools. Check authentication, input validation, unsafe execution, and other security risks, then report findings with file and line references and separate manual follow-ups.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an MCP server before release
• Checking authentication and validation on a network-exposed server
• Auditing tool code for unsafe execution paths

Create integration tests for .NET database access before migrating from Oracle to PostgreSQL. The tests record expected Oracle behavior with controlled test data and portable checks, providing a baseline for later migration validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording Oracle behavior before migration
• Testing repository methods and stored procedure calls
• Checking empty strings, NULL inputs, and datetime precision

Audit Azure Storage settings for public containers, encryption, access permissions, network restrictions, and logging gaps. Use command-line checks and monitoring alerts to produce findings and remediation guidance across subscriptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing storage settings across Azure subscriptions
• Investigating publicly accessible blob containers
• Verifying encryption, network, and logging controls

Investigate malware that survives OS reinstallation by checking UEFI firmware, boot files, and Secure Boot settings. Use chipsec and supporting tools to compare trusted baselines, identify bootkit indicators, and document findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating reinfection after OS reinstallation
• Checking unexpected Secure Boot changes
• Comparing firmware against a trusted vendor baseline

Inspect Windows startup entries with Sysinternals Autoruns to find possible malware persistence, settings that let malware restart automatically. Review signatures, file locations, and changes from a clean baseline to identify entries that need investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious startup entries on a Windows endpoint
• Comparing startup settings against a clean baseline
• Checking for remaining malware startup entries after cleanup

Improve prompts through test cases and baseline comparisons, measure how well AI answers use retrieved sources, and check agent configurations. Includes Python tools for prompt analysis, retrieval quality reports, and token estimates, with costs calculated from supplied rates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare prompt revisions against a baseline
• Measure answer quality against retrieved sources
• Check agent tool settings and loop risks

Add or update Handsontable performance tests for rendering and user interactions. The skill guides trace recording, measurement boundaries, baseline comparisons, and reports that help reviewers identify performance changes in pull requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a performance test for a Handsontable feature
• Investigate filtering or sorting performance
• Compare performance changes in a pull request

Check running experiments, collect logs and result metrics, and summarize progress alongside baseline comparisons. It supports SSH servers, Vast.ai, and Modal, with optional Weights & Biases metrics and cost reporting for the supported compute services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether remote experiments have finished
• Compare collected metrics with the matching baseline
• Investigate NaN values or diverging training runs

Compare two GEO audits, which assess a site's readiness for AI search visibility, and produce a monthly client report. Summarize score changes, crawler access, completed actions, newly discovered issues, and priorities for the following month.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a monthly GEO progress report for a client
• Compare baseline and current audit scores
• Review completed actions and next month's priorities

Design, review, and implement Gantt charts for project schedules. Assess source data, task dependencies, and resource needs, then define suitable views, editing behavior, rendering tools, accessibility, exports, and tests—or recommend a clearer alternative.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose between a Gantt chart, Kanban board, or timeline
• Map project-management exports into schedule data
• Review dependencies, critical path, and baseline variance

Research key competitors and produce cited profiles, a comparison table, and implications for a product decision. Separate facts from inferences and assumptions, highlight evidence quality, and create a consistent baseline for later comparisons.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a product's positioning against competitors
• Informing roadmap priorities with competitive evidence
• Investigating a rival's strengths after lost deals

Compare baseline and current Pinot JMH benchmark results using an isolated baseline worktree.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Accept screenshot baseline changes and commit the updated version.json.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Establish MSBuild/.NET build performance baselines before optimizing. USE FOR: unranked slow builds; cold, warm, incremental or no-op measurements; before/after comparisons; CI output caching; static graph, artifacts output and dependency graph trimming. Start here before build-perf-diagnostics, incremental-build or build-parallelism. DO NOT USE FOR: known repeated-restore fixes (use eliminate-redundant-restores), non-MSBuild builds. For measured target/task/analyzer bottlenecks, use build-perf-diagnostics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm. Use it to discover enabled benchmark libraries, capture a reproducible command/version/device/environment baseline, compare stable runs against a declared tolerance, or diagnose configuration, device-binding, workload-precondition, and measurement failures. Trigger for requests such as measuring BlueField compression speed, NIC RDMA throughput, crypto latency, or a pre-upgrade baseline. Do not use for application end-to-end timing, custom benchmark code, DOCA installation, or binary patches.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extracts clinical trial baseline data (study, region, participants, etc.) from article text or PMID. Checks PubMed for metadata; always falls back to LLM extraction for full details.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Accept screenshot baseline changes and commit the updated version.json.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit whether the organisation's AI spend actually paid — measured against baselines, not vendor math or vibes. Use when a CFO asks what the AI tools returned, when renewing AI contracts, when consolidating overlapping AI subscriptions, or to build the measurement plan before the next spend. Produces an ROI audit with per-tool verdicts (keep/consolidate/cut), the honest-measurement method behind each number, and a baseline plan for whatever can't be scored yet. To forecast ROI before an investment use roi-estimator; this skill measures what already happened.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Measure your own writing corpus for the words and sentence shapes you over-use, so an agent writing in your voice stops amplifying your tics into a style. Produces a counted baseline file and checks any new draft against it. Use when an agent's drafts start sounding like a caricature of you, before publishing anything written in your voice, or every ten new pieces to re-measure.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Simulate transcription factor perturbation effects on cell state in silico with CellOracle and Dynamo, and predict transcriptional responses to genetic perturbations with GEARS, scGen, and CPA. Covers the direction-not-magnitude principle, local-linear validity, the GRN/velocity error it inherits, baseline discipline (mean and additive baselines), and the validation gap. Use when predicting TF knockout or overexpression effects, ranking driver TFs for fate transitions, or planning perturbation experiments. For GRN construction see multiomics-grn; for experimental Perturb-seq see single-cell/perturb-seq.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.