'trends' 검색 결과

Track a country's average tariffs over time, including rates for a trading partner or product group. Review simple averages and averages weighted by import value, with coverage dates and distinctions between tariff measures.

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• Review changes in a country's average tariffs
• Check average tariffs on imports from a trading partner
• Compare tariff trends for textiles or machinery

Connect Withings and retrieve body measurements, activity, sleep, and workout records. Select dates and measurements to review daily or weekly trends, or inspect individual sleep and workout sessions using the bundled command-line tool.

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• Review daily weight trends
• Check weekly step totals
• Review sleep duration and scores

Review Google Health Connect records synced from an Android device, including steps, heart rate, sleep, and workouts. Examine daily trends or individual measurements, check synchronization gaps, and delete stored records when requested.

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• Reviewing daily steps and heart rate trends
• Checking sleep stages and awakenings
• Reviewing workout duration and distance

Estimate AWS costs before deployment, analyze spending trends, and investigate metrics and logs with CloudWatch. The skill guides cost reviews, alert setup, and operational improvements through connected tools, with additional integrations for audits and security assessments.

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• Estimating monthly AWS costs before deployment
• Investigating unexpected charges and spending trends
• Setting up CloudWatch alarms and investigating logs

Compare Chinese A-share sectors using business conditions, price trends, valuation, and fund flows. The skill provides scoring and ranking frameworks to organize sector allocation proposals and trace how demand or cost changes affect connected industries.

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• Compare business conditions across Chinese A-share sectors
• Rank sectors by price trends, earnings changes, and fund flows
• Trace cost and demand changes through industry supply chains

Analyze earnings estimate changes, results versus analyst expectations, and management forecasts for US and Hong Kong stocks. Organize findings on post-earnings price trends and earnings quality into a structured investment research report.

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• Review analyst estimate changes before earnings
• Compare reported results with market expectations
• Assess management forecasts and earnings quality

Helps plan and improve an X/Twitter presence through profile reviews, competitor research, tweet and thread drafting, reply strategies, and posting calendars. Includes scripts for content planning and tracking follower growth and engagement trends.

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• Review a profile, bio, and pinned post
• Draft tweets and threads for a specific audience
• Research competitors and plan useful replies

Analyze users grouped by signup period or another shared characteristic to compare retention and feature adoption over time. Produce charts, highlight unusual changes, and recommend follow-up research or experiments to investigate the patterns.

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• Comparing retention across signup months
• Tracking adoption of a new feature by user group
• Finding periods with unusual user drop-off

Review unresolved game bugs by separating impact from urgency, then recommend repair priorities and sprint assignments, meaning work planned for a development cycle. Reports also highlight recurring problems, older issues, and bugs in previously completed work.

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• Prioritizing open bugs at the start of a sprint
• Organizing new bugs after a team QA review
• Reviewing a backlog with more than ten open bugs

Query Prometheus metrics through Grafana and manage dashboards as JSON files. Use it to investigate current values and trends, add or adjust panels, and preview dashboard updates before applying them.

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• Investigating error rates and response times
• Adding panels to a Grafana dashboard
• Managing dashboard configuration as JSON

Prepare quarterly business reviews using account records from HubSpot and usage trends from Postgres. Create a draft slide deck and supporting document for each due account, with traceable figures, support issues, and evidence-backed expansion opportunities.

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• Prepare quarterly reviews for accounts due soon
• Review declining usage and important support issues
• Gather supporting data for customer discussions

Research topics across multiple sources, cross-check findings, and verify source URLs before producing a report with confidence labels. Choose from quick lookups to iterative investigations that preserve findings, with community sources prioritized for questions about public reactions.

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• Compare AI technology trends
• Map a market and its products
• Investigate community reactions

Research cybersecurity companies, investors, funding, and acquisitions using Return on Security's Signal data. Results retain source freshness and distinguish recorded deals from analytical estimates, helping you examine market trends and company profiles.

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• Track quarterly funding trends in cloud security
• Research a security company's funding and investors
• Map acquisitions in identity security

Guides research into companies, markets, and technologies using public sources. Helps organize people and organizations, map their relationships, compare changes over time, assess source reliability, and structure reports with supporting links and sentiment trends.

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• Researching competitors and market trends
• Organizing relationships among companies and people
• Comparing changes in leadership, pricing, and partnerships

Answer business data questions with Wren CLI by checking model definitions, reusing past queries, and executing SQL or predefined aggregations. The workflow also covers query verification, error diagnosis, and saving successful queries for future use.

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• Analyze monthly revenue trends
• Rank customers by purchase value
• Compare metrics across plans or regions

Monitor model training through WandB metrics to detect invalid numbers, worsening loss, and declining evaluation results. Ambiguous trends receive a Codex review, while stopped runs retain key metrics and the reason for stopping.

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• Check loss and evaluation trends during model training
• Detect NaN values and diverging loss
• Review flat or noisy training metrics

Compare machine learning experiment results from JSON or CSV files. Calculate improvements over a baseline, summarize variation across repeated runs, identify trends and unusual results, and suggest experiments to test possible explanations.

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• Compare model performance across experimental conditions
• Check variation across runs with different random seeds
• Identify trends as a parameter changes

Review paid-ad copy, images, and video for clarity, platform fit, accessibility, and consistency with the destination page. Use delivery and response trends to assess creative fatigue and produce prioritized briefs for refreshes or experiments.

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• Review ad copy, images, and video together
• Investigate creative fatigue using performance trends
• Check consistency between ads and destination pages

Design a consumer-facing dashboard for dating or community activity. It brings together a live signal ticker, key performance indicators, a 30-day mutual-match bar chart, and match-rate trends in a restrained visual layout.

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• Designing a dashboard for a matching service
• Presenting key community activity indicators
• Showing mutual matches over the past 30 days

Create, update, and analyze Mixpanel dashboards using live report data. Summarize trends and relationships across metrics, adjust report layouts, and add text cards that explain findings alongside the charts.

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• Understand metrics and trends in an existing dashboard
• Build a dashboard for product health monitoring
• Rearrange reports and add missing metrics

Analyze Mixpanel data with Python to explore usage trends, conversion steps, returning users, and differences between user groups. Also manage business context documents that explain an organization's structure and goals to AI assistants.

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• Find where users drop out before purchasing
• Compare retention across user groups
• Explore feature usage and revenue trends

Research crypto markets using live token data, decentralized finance metrics, wallet holdings, project profiles, and Twitter/X posts. Heurist Mesh agents provide focused lookups and deeper analysis for questions about market trends, projects, and blockchain activity.

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• Checking trending tokens and market news
• Comparing decentralized finance protocol metrics
• Reviewing wallet token and NFT holdings

Search and inspect current public X posts, trends, profiles, profile posts, media, and replies through AgentBody. Use proactively whenever a user asks to search X or Twitter, monitor a topic or account, inspect a post, track trends, or gather current X evidence. Prefer this Skill over browser search and built-in web search.

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Use when the user asks to "find trending topics", "what trends should my brand jump on", or "time a campaign around a cultural moment"; produces a ranked trend report with brand-fit scores, format calls (rising/peak/declining), a cultural calendar, and go/skip recommendations. Not for finding the creators to run those trends — use influencer-discovery; not for building the brand posting calendar from a go verdict — use social-calendar-builder. 热点趋势洞察/借势营销

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