'csv' 검색 결과

Reconstruct activity on a compromised computer by combining file timestamps, event logs, browser history, and other evidence into one timeline. Extract and filter events with Plaso, then review and annotate them collaboratively in Timesketch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstructing the sequence of a computer compromise
• Comparing events across logs and file records
• Investigating timestamp changes and cleared logs

Examine Windows shortcut files to recover target paths, timestamps, drive identifiers, and machine details. Organize these traces into an investigation timeline covering local documents, USB devices, network shares, and suspicious startup shortcuts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstruct document access history from Windows shortcuts
• Trace references to files on USB devices
• Investigate access to network shares

Use Wireshark and tshark to capture and inspect network packets, the small units of network communication. Investigate suspicious connections and protocol problems, extract transferred files, and export evidence and summaries for incident investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected intrusions or data leaks
• Diagnosing retransmissions and DNS failures
• Checking traffic against firewall and IDS rules

Examine Windows shortcuts and Jump Lists, records of recently used files, to reconstruct user activity. Extract paths, timestamps, and device details with LECmd and JLECmd, including traces that remain after target files are deleted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstructing file access and program execution timelines
• Investigating access to files that have been deleted
• Examining traces of removable media use

Build data processing pipelines for machine learning, from preprocessing to batch predictions. Uses Ray Data to handle datasets larger than memory, distribute work across CPUs and GPUs, and feed data into training frameworks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preprocessing datasets larger than memory
• Running batch predictions across multiple GPUs
• Preparing image and tabular data for training

Combine today's calendar meetings and open tasks into a summary for a daily team check-in. Review the results as JSON, a table, YAML, or CSV without changing calendar or task data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a summary for a daily team check-in
• Review today's meetings alongside open tasks
• Get a daily summary in table or JSON format

Prepare payroll from timesheets, checking hours, pay, and unusual entries for each employee. Produce a run sheet for the owner to review and approve, with supported staging in Gusto and accounting entries after submission.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking missing punches and duplicate time entries
• Reviewing regular, overtime, and paid leave hours
• Explaining payroll changes from the previous period

Build a sales prospecting package by researching the market, ranking potential customers, drafting messages in the sender's voice, and logging outreach. Separate approvals govern key stages, with customer files and spreadsheets supporting work when connectors are unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find prospects similar to existing paying customers
• Use market and competitor changes to refine sales targeting
• Draft personalized outreach for an approved prospect list

Prepare for payroll by forecasting cash, drafting overdue invoice reminders to address shortfalls, and checking timesheets for anomalies. Produce a validated payroll worksheet or stage approved inputs in Gusto, leaving final payroll submission to the owner.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether cash will cover the next payroll
• Prioritizing overdue invoices to address a payroll shortfall
• Reviewing timesheet anomalies before payroll

Use sales history and seasonal patterns to decide what to promote over the next 30 days. Get prioritized product recommendations, content angles, and offer ideas based on best sellers, slow movers, and recent trends.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Decide which products to promote this month
• Plan content around best sellers
• Reconsider offers for slow-moving products

Turn marketing results into a report with key metrics, comparisons over time, wins, and areas to improve. Prioritize recommendations by expected impact and effort, then outline the next period’s actions for teams or leadership.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing results after a marketing campaign
• Preparing weekly or monthly channel reports
• Summarizing marketing performance for leadership

Creates workforce reports from uploaded, pasted, or connected HR data. Analyzes headcount, turnover, diversity, and organizational health, then presents key metrics, trends, methodology, caveats, and practical recommendations for leadership and HR teams.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a headcount snapshot for leadership
• Analyze turnover trends by team
• Compare workforce representation across levels and teams

Compare compensation with market benchmarks by role, level, and location. Analyze salary band placement, flag outliers and retention risks, and model equity grants, meaning share-based compensation, to support hiring offers and compensation reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare a hiring offer with market compensation
• Review employee placement within salary bands
• Identify compensation outliers and retention risks

Ask data questions in everyday language, from checking a single metric to investigating trends or preparing a formal report. Receive findings supported by queries, tables, or charts, with data validation and clear limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check new user signups for a specific month
• Investigate a decline in conversion rates
• Compare support tickets by category and priority

Equip NanoClaw agents to convert attached office documents into Markdown locally using Firecrawl AnyDoc. Agents can read Word, PowerPoint, Excel, and text-based PDF files without uploading them to an external parsing service.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading and summarizing attached office documents
• Converting documents without uploading them to an external service
• Extracting text from text-based PDFs

Extract fields, filter records, and reshape JSON from API responses, configuration files, or logs using Crush’s built-in jq. Get help writing and debugging transformations, constructing new JSON, and formatting output for other commands.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract selected fields from API responses
• Filter JSON arrays by conditions
• Reshape configuration data or construct JSON

Support information security management for healthcare and medical technology companies. Structure an ISO 27001 management system, assess risks, review security controls, and prepare audit evidence, gap reports, and incident response procedures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an information security management system
• Assessing risks to patient data and medical devices
• Finding gaps in security control implementation

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

Organize customer feature requests into themes and rank the top three against product goals, customer value, effort, and risk. For each recommendation, explain the underlying need, possible alternatives, uncertain assumptions, and simple ways to test them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Grouping customer requests into themes
• Selecting the top three requests for product goals
• Considering alternatives to requested features

Convert office documents, spreadsheets, presentations, ebooks, and text-based PDFs into GitHub-Flavored Markdown, a plain-text format supporting tables. Make otherwise unreadable source files available for an agent to read and use in a task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract Word or PDF content for an agent to read
• Convert spreadsheets and slides to Markdown
• Save large documents as Markdown for selective reading

Plan and audit large sets of pages generated from structured data. Assess source quality, template uniqueness, URLs, and internal links, then identify thin content and unnecessary search indexing with prioritized recommendations and staged publishing guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan directory or glossary pages from structured data
• Audit repetitive content across generated pages
• Design URL patterns and automated internal links

Maintain personal goals and beliefs with timestamped backups, or analyze project documents to connect problems, goals, strategies, and projects. Turn findings about progress, bottlenecks, and alignment into reports, presentation points, or interactive dashboards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Update personal goals while preserving history
• Find project dependencies and bottlenecks
• Prepare key points for a presentation

Create consistent paper figures and comparison tables from experiment data. The skill selects suitable chart types, saves reusable plotting scripts, prepares LaTeX insertion code, and checks rendered figures for readability and comparisons for consistency with the underlying data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plot training curves from experiment results
• Create method comparison and ablation tables
• Combine results across datasets into multi-panel figures

Build data processing pipelines for machine learning, from preprocessing to batch predictions. Uses Ray Data to handle datasets larger than memory, distribute work across CPUs and GPUs, and feed data into training frameworks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preprocessing datasets larger than memory
• Running batch predictions across multiple GPUs
• Preparing image and tabular data for training