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Found 181 Skills
Compare GWAS studies, perform meta-analyses, and assess replication across cohorts. Integrates NHGRI-EBI GWAS Catalog and Open Targets Genetics to compare study designs, effect sizes, ancestry diversity, and heterogeneity statistics. Use when comparing GWAS studies for a trait, performing meta-analysis of genetic loci, assessing replication across cohorts, or exploring the genetic architecture of complex diseases.
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
Fetch project statistics from SpecStory Cloud. Run when user says "get project stats", "show SpecStory stats", "project statistics", "how many sessions", or "SpecStory metrics".
Uniview Smart Parking Open Platform Data Analysis Domain openydt data: Read-only data statistics and reports including parking lot payment bills, bill summaries, traffic flow, top license plate distribution, real-time parking lot data, daily vehicle exit/transaction counts, per-minute traffic flow, parking space usage, parking duration analysis, etc. Trigger words: data analysis/statistics/reports/check bills/payment bills/bill summaries/traffic flow/traffic statistics/top license plates/license plate distribution/real-time data/present vehicles/exit counts/transaction counts/per-minute traffic/parking space usage/parking space utilization rate/parking space occupancy/heatmap/echart/parking duration/duration analysis/parking duration distribution
This skill should be used when users want to generate comprehensive statistics and overview of their Obsidian vault, including file counts, types, tags, links, folder structure, and other metadata analysis.
Use when "scientific computing", "astronomy", "astropy", "bioinformatics", "biopython", "symbolic math", "sympy", "statistics", "statsmodels", "scientific Python"
Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.
Updates the "Prowler at a Glance" table in README.md with accurate provider statistics. Trigger: When updating README.md provider stats, checks count, services count, compliance frameworks, or categories.
MLB data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, depth charts, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about MLB scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, depth charts, team/player statistics, or MLB news. Don't use when: user asks about minor league baseball, college baseball, international baseball, or other sports.
WeRead Assistant — Search books, manage bookshelf, view notes and underlines, browse book reviews, reading statistics, discover and recommend good books
Financial and statistics report listing and downloading from Google Play Console via GCS. Use when asked to view, list, or download financial earnings, sales, payouts, or app statistics (installs, ratings, crashes).
Quantitative statistics framework for time-series analysis using Longbridge price data — ADF unit root test (stationarity), cointegration (Engle-Granger / Johansen), GARCH volatility modelling (conditional heteroskedasticity), regression diagnostics (Durbin-Watson / Breusch-Pagan), bootstrap confidence intervals, hypothesis tests (t-test / F-test). Requires statsmodels and scipy. Triggers: "量化统计", "ADF检验", "单位根", "协整检验", "GARCH", "自相关", "异方差", "Bootstrap", "假设检验", "量化統計", "ADF檢驗", "單位根", "協整檢驗", "異方差", "假設檢驗", "quantitative statistics", "ADF test", "unit root", "cointegration", "GARCH", "autocorrelation", "heteroskedasticity", "bootstrap", "hypothesis test", "statsmodels".