'trends' 검색 결과

Research markets, competitors, companies, and technical topics using multiple sources in Google NotebookLM. Produce a structured brief with key findings and recommended actions, with optional slides, podcasts, videos, infographics, reports, or mind maps.

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• Researching market trends and business opportunities
• Comparing competitors and their positioning
• Researching prospects before a proposal

Retrieve financial data through natural language queries, including Chinese A-share stocks, funds, futures, company financials, and economic indicators. The skill calls a Python script and presents key results as concise summaries and tables.

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• Checking stock prices and daily market data
• Retrieving recently disclosed revenue and profit
• Comparing prices across stocks

Turn CSV or tabular data into an Excel dashboard with formula-driven key performance indicators, linked charts, small in-cell trend charts, and conditional formatting. A dedicated opening sheet brings the main figures and visual summaries together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing monthly sales and trends
• Bringing management indicators onto one sheet
• Comparing budget and actual results

Validates skill files and registration consistency, then checks project tests and system health. Compares failures with recent changes to distinguish regressions, outdated tests, intermittent failures, and infrastructure issues, producing a report that tracks results over time.

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• Validating definitions and registration for new skills
• Running daily tests and system health checks
• Classifying failures after code changes

Combine growth results, customer feedback, and dated competitor changes into a single weekly marketing brief. Connect the findings, highlight the week’s main issue, and prioritize up to three actions with supporting numbers and estimated value.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review weekly sales and marketing trends
• Connect customer feedback with growth results
• Track meaningful changes among competitors

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.

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

Review product performance by comparing usage, retention, revenue, and other metrics with previous periods and targets. Turn the numbers into a scorecard, explain meaningful trends and uncertainties, and recommend investigations or improvement experiments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare weekly, monthly, or quarterly metrics reviews
• Investigate sudden spikes or drops
• Compare product performance with targets

Turn spreadsheets, query results, or pasted data into clear Python charts. Get help choosing chart types, formatting labels and colors, and producing static images or interactive charts with hover details and zoom.

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• Chart monthly revenue trends for a report
• Compare product scores in a ranked bar chart
• Explore data with hover details and zoom

Analyze data distributions, trends, unusual values, and differences between groups using suitable statistical methods. The skill guides interpretation of effect sizes, meaning the magnitude of differences, alongside uncertainty and business impact, while checking for misleading conclusions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarize business metrics beyond averages
• Assess differences in A/B test results
• Investigate outliers and unusual time-series values

Choose suitable charts for trends, comparisons, distributions, and relationships, then create them in Python with matplotlib, seaborn, or plotly. Apply guidance on colors, labels, scales, and accessibility to produce publication-quality figures or interactive charts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a chart type that fits the data and message
• Create figures for reports or publications
• Build interactive charts with Plotly

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

Design charts, maps, and dashboards around the question readers need answered. Choose suitable chart forms, communicate findings through titles and labels, and check custom colors with a local palette validator to support clear visual distinctions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a chart type for comparisons or trends
• Improve dashboard layout and number formatting
• Check a custom chart palette

Define product KPIs, design dashboards, and analyze retention, feature adoption, and conversion. Choose metrics suited to each product stage, compare groups of users over time, and turn meaningful changes into concrete product actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing KPIs for each product stage
• Designing dashboards for different audiences
• Comparing retention across signup groups

Analyze sprint history to forecast delivery ranges, score team health, and track retrospective actions. Python tools turn structured sprint data into reports that support planning, highlight recurring problems, and show whether improvement efforts are progressing.

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• Forecasting sprint workload from past delivery data
• Assessing team health and prioritizing improvements
• Tracking retrospective actions and recurring themes

Scan a codebase for technical debt—issues that make future maintenance harder—and prioritize fixes using business impact and effort. Generate a ranked backlog, sprint allocations, and trend reports to assess cleanup work over time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess technical debt across a codebase
• Prioritize refactoring for the next sprint
• Compare debt levels before and after cleanup

Creates charts from numerical data using the chart tool and Chart.js v4. Supports bars, lines, pies, scatter plots, and other formats to show comparisons, trends, proportions, and relationships, with options for dataset colors and mixed charts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing values across categories with a bar chart
• Showing monthly changes with a line chart
• Displaying proportions with a pie or doughnut chart

Find and organize technical debt, the code issues deferred for later improvement. Maintain a register, rank items by impact and repair effort, and report unresolved work and changes over each sprint.

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• Scan code for signs of deferred maintenance
• Record known issues and reasons for deferring fixes
• Prioritize fixes by impact and effort

Investigate Google Cloud network problems using traffic logs, performance metrics, and connection path tests. Identify blocked traffic, packet loss, and latency, summarize traffic volumes, or estimate VPC Flow Logs costs.

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• Investigate blocked traffic and packet loss
• Check latency and throughput trends
• Analyze Cloud NAT port exhaustion

Present travel plans, product choices, and numerical data directly in Kortix chat using photo-based steps, cards, maps, tables, and charts. The skill selects a visual format suited to each part of the answer.

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• Showing a first-time travel itinerary with photos and maps
• Comparing hotels or products in cards
• Turning preparation lists into checklists

Create weekly reports from Postgres metrics, comparing current figures with recent weeks. Add plain-language explanations for notable changes, flag missing data, and post one report to Slack while keeping database access read-only.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a weekly metrics report for Slack
• Reviewing weekly changes and recent trends
• Explaining notable changes and flagging data gaps

Collect social posts, business listings, and product reviews through Apify actors, ready-made data collection tools. Filter results by date, rating, or engagement in code before sending relevant records to the AI for research or lead generation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find competitors' most popular social posts
• Build a contact list of local businesses
• Extract recent negative Amazon reviews

Track how often ChatGPT and Perplexity cite a brand using Profound data. Review citation rates, 30-day trends, prompts where the brand appears or is absent, competing brands cited alongside it, and alerts for sudden changes.

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• Review a brand's citation rate and 30-day trend
• Find prompts where a brand appears or is absent
• Identify competing brands cited for the same prompts

Use live DataForSEO data to research search results, keyword demand, backlinks, and competitors. Compare findings in tables, inspect page issues, and track how brands or websites are mentioned and cited in AI responses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare keyword search volume, difficulty, and intent
• Research competitors' rankings and backlink sources
• Inspect page performance and technical issues

Use Google's APIs to review search performance, page speed, indexing status, and organic traffic. Combine real visitor measurements with search and analytics data to identify SEO issues and create reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing search clicks, impressions, and rankings
• Tracking page experience metrics over 25 weeks
• Checking whether Google has indexed specific URLs