Results for “trends”

Calculate BMI, log weight entries, and chart body composition trends. Use when tracking fitness progress, setting weight goals, or reviewing data.

Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.

Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans.

Debug agent execution by querying trace and metric tables, analyzing tool calls, durations, errors, and performance trends.

Monitor brand mentions, analyze sentiment, and identify trends across social platforms. Use when the user needs to analyze social data, track brand health, or understand audience sentiment.

Monitors trending topics across 35+ platforms, aggregates trends, analyzes sentiment, and provides real-time notifications via MCP tools.

Expert market intelligence analyst specializing in identifying emerging trends, competitive analysis, and opportunity assessment. Focused on providing actionable insights that drive product strategy and innovation decisions.

Search YouTube videos, channels, and trends through the AISA YouTube SERP client. Use when: the user needs YouTube search, trend discovery, channel research, or SERP analysis.

Use this skill whenever the user wants to conduct an event study, create event study plots, test for parallel trends, implement difference-in-differences designs, or work with any panel data estimation that involves pre/post treatment comparisons. Trigger on phrases like "event study", "parallel trends", "pre-trends", "dynamic treatment effects", "leads and lags", "TWFE", "two-way fixed effects", "staggered adoption", "staggered treatment", "difference-in-differences", "DiD", "Sun and Abraham", "Callaway and Sant'Anna", "de Chaisemartin", "Borusyak", "did_multiplegt", "fixest", "did2s", "bacon decomposition", or any reference to plotting coefficients around a treatment event. Also trigger when the user uploads panel data and wants to estimate treatment effects with variation in treatment timing. All code is in R.

Coordinates a 12-phase pipeline that turns trends into scheduled, analyzed, and scaled social media content, with Paperclip issue tracking.

Search, analyze, and monitor X/Twitter from the terminal with a fast Rust CLI, including AI-powered analysis, trends, and follower tracking.

Analyze user engagement and retention patterns by cohort to identify trends in user behavior, feature adoption, and long-term engagement.

Analyze CGM blood glucose data from Nightscout. Use this skill when asked about current glucose levels, blood sugar trends, A1C estimates, time-in-range statistics, glucose variability, or diabetes management insights.

Generates a concise, executive-ready performance summary covering key metrics, trends, and what's driving movement, using Adobe Analytics data.

Multi-signal trend forecasting for autonomous agents. Combines prediction market odds, Twitter/X social sentiment, news velocity, and stock market data into a unified trend analysis with confidence scoring. Powered by AIsa — one API key, five data streams. Use when: the user needs X/Twitter research, monitoring, posting, or engagement workflows.

Use when tracking emerging developments in technology, markets, regulations, or industry practices. This skill provides a systematic approach to monitoring trends so the organization stays informed about changes that could impact strategy or operations.

Daily live-trend scan for any active brand — surfaces timely topics, launches, news, and community pain points in the brand's niche, scored for relevance and timeliness, deduplicated against a rolling log, and written as candidate topics the social calendar can pull.

Filters and ranks trending Hugging Face models, datasets, and spaces by novelty and significance, providing a 'why notable' explanation for each pick.

YouTube SERP Scout for agents. Search top-ranking videos, channels, and trends for content research and competitor tracking. Use when: the user needs YouTube search, trend discovery, channel research, or SERP analysis.

Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `trend-forecast`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Multi-signal trend forecasting for autonomous agents. Combines prediction market odds, Twitter/X social sentiment, news velocity, and stock market data into a unified trend analysis with confidence scoring. Powered by AIsa — one API key, five data streams. Use when: the user needs X/Twitter research, monitoring, posting, or engagement workflows.

Discover trending, anticipated, and popular movies and TV shows via the Trakt.tv API from the terminal. No authentication required for read-only discovery. Use when the user asks about what to watch, trending movies, popular shows, or media discovery.

Cross-platform 30-day social research on a topic — Reddit, X/Twitter, Hacker News, Polymarket, open web. Clusters mentions by narrative, ranks by velocity, and surfaces the contrarian thread with traction.

Research any topic across Reddit, X, and the web from the last 30 days, then synthesize findings into actionable insights and copy-paste-ready prompts.

Detects and ranks trending market themes by analyzing cross-sector momentum, volume, and breadth signals with lifecycle maturity assessment.

Analyzes market breadth using Monty's Uptrend Ratio Dashboard data to diagnose the current market environment. Generates a 0-100 composite score from 5 components (breadth, sector participation, rotation, momentum, historical context).

Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.

Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.

Guides choosing between Tailwind, CSS Modules, and global CSS with BEM, and implementing responsive layouts with Grid, Flexbox, and Container Queries.

Automatically hunt for high-impact OSS contribution opportunities in trending repositories.

Automatically hunt for high-impact OSS contribution opportunities in trending repositories.