'matching' 검색 결과

Filter rows from Excel or previously converted Parquet files, a format designed for efficient data storage. Summarize matching records by group with counts, percentages, and totals, then export the summary to Excel.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Count records containing a specified risk level by work category
• Calculate group shares among matching records
• Summarize large datasets already converted to Parquet

Analyze Excel workbooks across multiple sheets, locate matching fields, clean values, and compare groups. Produce counts, cross-tabulations that compare categories, charts, and an Excel report with a download link.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Count matching fields across multiple sheets
• Clean numeric values and merged-cell groups
• Compare counts and shares by category

Scan multiple Excel sheets for rows with missing or invalid entries in a target column. Combine matching records with their source sheet names, then export an Excel file with every extracted data row filled red for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find missing entries across multiple Excel sheets
• Create a review list with source sheet names
• Export matching rows with red highlighting

Investigate .NET app crashes on Apple platforms by converting runtime addresses in .ips logs into function names, source files, and line numbers. It locates matching debug symbols and supports retrieving logs from connected iOS devices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating .NET MAUI or Mono crashes on Apple platforms
• Resolving runtime addresses to source files and line numbers
• Retrieving crash logs from a connected iPhone

Review regular expressions used to detect errors in agent engines. Check for empty matches, test patterns against real logs, and add safeguards against repeated matches that can cause JavaScript loops to hang.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review new error detection patterns
• Test patterns against empty strings
• Check detection using real error logs

Inspect live development or staging traffic to find an identifier that distinguishes one developer’s requests across services. Produce a matching mirrord HTTP filter and a report showing where the identifier survives, disappears, or cannot be observed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find a filter for personal requests on a shared staging cluster
• Check whether request IDs survive across services
• Build mirrord filters using JWT claims or cookies

Configure mirrord to route selected Kafka messages to a local application. Generate Kubernetes resource files and matching message filters, check their consistency, and troubleshoot connection or splitting issues, including Kafka Streams and AWS MSK IAM setups.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up Kafka message splitting for local debugging
• Filter messages by headers or payload fields
• Configure Kafka Streams or AWS MSK IAM connections

Process astronomical data in Python with Astropy. This skill covers celestial coordinate, unit, and time conversions; reading and editing FITS astronomy files; matching object catalogs; and calculating cosmic distances using cosmological models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting celestial coordinates for an observing time and location
• Reading FITS images and inspecting their headers
• Matching objects across astronomical catalogs

Match blockchain transactions in TRES to customer invoices or vendor bills in a connected ERP accounting system. Review ranked candidates, choose the payment account, and approve linking, optional fiat value adjustments, and synchronization to Xero, QuickBooks Online, or NetSuite.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding the vendor bill paid by a blockchain transaction
• Locating a payment for a customer invoice
• Reviewing and adjusting a transaction's fiat value

Review transaction grouping rules in TRES Finance to see how many transaction entries they would affect. Identify zero matches and overlapping rules, and compare existing rules’ new matches with the rollups they have already produced.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preview a rule’s matching entries before creation
• Review pending rollup requests
• Check overlaps with active rules

Analyze strategic interactions in markets, including firm entry, pricing, auctions, and bargaining. Guides equilibrium selection and computation, explains how to handle multiple possible outcomes, and helps assess whether data can identify the model's parameters.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing and computing an equilibrium
• Planning an analysis of firm entry or price competition
• Handling multiple equilibria in empirical models

Choose and implement methods for estimating causal effects from observational data or policy changes. Guidance covers method assumptions, estimation, diagnostic checks, and robustness tests that examine whether findings hold under alternative analysis choices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a causal method for evaluating a policy change
• Analyzing policies introduced at different times across regions
• Checking instrumental variable strength and underlying assumptions

Tailors resumes to a target job description by checking keyword coverage, rewriting experience around context, actions, and measurable results, and reviewing compatibility with applicant tracking systems, software used to process applications. Outputs recommendations and revised resume text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tailoring a resume to a specific job opening
• Checking missing keywords against a job description
• Rewriting experience with measurable results

Verify BB workflows in an isolated development app using browser interactions and the matching source CLI. Select relevant checks, collect screenshots and persisted-state evidence, and report passes, failures, untested cases, and blockers separately.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check affected workflows after a BB feature change
• Run a smoke test of BB's main interactions
• Audit verification coverage against source changes

Build and query Kusto graphs from natural language. Covers transient graphs (make-graph), persistent graph models/snapshots, pattern matching (graph-match), shortest paths, connected components, and graph-to-table export. Generates the edges-first thinking: define edges, define node lookups, union, make-graph. WHEN: make-graph, graph-match, graph-shortest-paths, graph-to-table, graph-mark-components, persistent graph, graph model, graph snapshot, build a graph from data, find paths between nodes, pattern matching in graph, connected components, transient graph, Kusto graph, KQL graph.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Peptide-spectrum matching and protein identification from MS/MS data. Use when identifying peptides from tandem mass spectra. Covers database searching, spectral library matching, and FDR estimation using target-decoy approaches.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Metabolite identification from m/z and retention time. Covers database matching, MS/MS spectral matching, and confidence level assignment. Use when assigning compound identities to detected features in untargeted metabolomics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

A toolkit for fuzzy string matching and data reconciliation. Useful for matching entity names (companies, people) across different datasets where spelling variations, typos, or formatting differences exist.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build and query Kusto graphs from natural language. Covers transient graphs (make-graph), persistent graph models/snapshots, pattern matching (graph-match), shortest paths, connected components, and graph-to-table export. Generates the edges-first thinking: define edges, define node lookups, union, make-graph. WHEN: make-graph, graph-match, graph-shortest-paths, graph-to-table, graph-mark-components, persistent graph, graph model, graph snapshot, build a graph from data, find paths between nodes, pattern matching in graph, connected components, transient graph, Kusto graph, KQL graph.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

RF Toolbox and RF Blockset in MATLAB -- S-parameter I/O, network conversions (S/Z/Y/ABCD/T/H/G, mixed-mode), cascade/de-embedding, rfbudget analysis, circuit composition, matching networks, amplifier stability, mixer spurs, rational fitting, SI channels, baseband processing, Circuit Envelope simulation. Trigger: sparameters, Touchstone, .s2p, .s4p, rfplot, smithplot, rfparam, rfwrite, zparameters, yparameters, abcdparameters, s2sdd, cascadesparams, deembedsparams, rfbudget, noise figure, OIP3, IIP3, amplifier, modulator, nport, rffilter, attenuator, seriesRLC, shuntRLC, lcladder, txline, circuit, setports, clone, matchingnetwork, stabilityk, stabilitymu, powergain, gammams, gammaml, mixerIMT, OpenIF, rational, rationalfit, stepresp, txlineWRLGC, rf.Amplifier, rf.Mixer, rf.Filter, rf.Sparameter, rfsystem, RF Blockset.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build machine vision inspection systems with MATLAB Visual Inspection Toolbox. Covers the full arc from problem selection through deployment: anomaly detection (Student-Teacher, PatchCore, FastFlow, FCDD), object detection (YOLOX), counting (CounTR, shape matching), gauging and measurement (caliper, fitcircle, fitangle), blob analysis (regionprops, calibrated measurement), shape matching for fixturing and localization, synthetic data generation for training augmentation, and deployment to standalone apps, embedded C/C++, NVIDIA GPUs (TensorRT), NPUs (ONNX), and Beckhoff PLCs. Routes to rule-based tools when problems are geometric and deterministic, AI-based tools when defect appearance varies, and hybrid pipelines combining both.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when a UE5 task involves characters in motion: "import FBX from Maya" with a skeleton, "retarget animations", IK Rig, IK Retargeter, feet sinking or floating after retarget, mocap cleanup, Motion Matching, Pose Search, Choosers, GASP, state machine vs motion matching, root motion, offset root bone, foot IK, Control Rig, Animation Blueprint cost, "animation is expensive", budget allocator, URO, MetaHuman LODs, ML Deformer, cloth.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write, review, or modernize F# code in .NET repositories with functional-first design, algebraic data types, pattern matching, pipelines, async workflows, project ordering, and C# interop. USE FOR: F# .fs/.fsproj code; discriminated unions, records, options, results, pattern matching, computation expressions, or functional domain modeling; strongly typed AI-generated .NET code. DO NOT USE FOR: C# language modernization; FSI-only exploratory scripts with no project changes. INVOKES: inspect .fsproj file order and SDK settings, edit F# source and project files, and run dotnet build/test or dotnet fsi validation commands when changes are made.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.