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Browse Secure Claude Skills

Search verified agent skills and review security grades before installing · full A–Z index

Optimizing Query By IdAOptimizes Snowflake query performance using query ID from history. Use when optimizing Snowflake queries for: (1) User provides a Snowflake query_id (UUID format) to analyze or optimize (2) Task mentions "slow query", "optimize", "query history", or "query profile" with a query ID (3) Analyzing query performance metrics - bytes scanned, spillage, partition pruning (4) User references a previously run query that needs optimization Fetches query profile, identifies bottlenecks, returns optimize...datasqlperformanceVotes: 0GitHub stars: 124
Developing Incremental ModelsADevelops and troubleshoots dbt incremental models. Use when working with incremental materialization for: (1) Creating new incremental models (choosing strategy, unique_key, partition) (2) Task mentions "incremental", "append", "merge", "upsert", or "late arriving data" (3) Troubleshooting incremental failures (merge errors, partition pruning, schema drift) (4) Optimizing incremental performance or deciding table vs incremental Guides through strategy selection, handles common incremental got...datarustgoVotes: 0GitHub stars: 124
Data CatchallAData: data engineering, analytics, ETL, QA, testing. Triggers: data pipeline, etl, data warehouse, analytics, dashboard, metrics, kpi, testing, test automation, qa, quality assurance, ci/cd testing, data science.datatestingci/cdVotes: 0GitHub stars: 18
PytorchABuilding and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch models.datapythongoVotes: 0GitHub stars: 23
Us Census DataAThis skill should be used when the user asks to "get Census data", "query American Community Survey", "find ACS data", "get population by state", "query Decennial Census", "find Census variables", "get median income data", "download demographic data", "Census API query", "get housing data from Census", or mentions US Census Bureau data (demographics, income, poverty, education, housing, population estimates, etc.).datapythongoVotes: 0GitHub stars: 3
NplAdef plot_hist(da_observations, da_forecast, station_name, rp=None, leadtimes=None): if leadtimes is None: leadtime = da_forecast.leadtime.values fig, ax = plt.subplots() for leadtime in leadtimes: observations, forecast = utils.get_same_obs_and_forecast(da_observations, da_forecast, leadtime) rank = utils.get_rank(observations.values, forecast.values) ax.hist(rank, histtype='step', label=int(leadtime), bins=np.arange(0.5, max(rank)+1.5, 1), alpha=0.8) ax.legend(loc=9, title="Lead time (days)"...datapythonVotes: 0GitHub stars: 18
Flooding TriggerAdef plot_hist(da_observations, da_forecast, station_name, rp=None, leadtimes=None): if leadtimes is None: leadtime = da_forecast.leadtime.values fig, ax = plt.subplots() for leadtime in leadtimes: observations, forecast = utils.get_same_obs_and_forecast(da_observations, da_forecast, leadtime) rank = utils.get_rank(observations.values, forecast.values) ax.hist(rank, histtype='step', label=int(leadtime), bins=np.arange(0.5, max(rank)+1.5, 1), alpha=0.8) ax.legend(loc=9, title="Lead time (days)"...datapythonVotes: 0GitHub stars: 18
Trigger DevelopmentAstart = '2001-01-01' end = '2001-10-31' version = 2 rf_list_slice = da_glofas_reforecast_interp[version].sel(time=slice(start,end)) ra_slice = da_glofas_reanalysis[version].sel(time=slice(start, end)) rf_list_slice.mean(axis=1).plot.line( x='time', add_legend=True) ra_slice.plot.line(label='Historical', c='k') plt.show() ``` We'll compute forecast skill using the ```xskillscore``` library and focus on the CRPS (continuous ranked probability score) value, which is similar to the mean absolute ...datapythonVotes: 0GitHub stars: 18
Drought TriggerAThis notebook explores the Ranked Probability Skill Score (RPSS) for IRI's seasonal forecast. In the end results were not really used. Interactive tool several skill measurements: https://iri.columbia.edu/our-expertise/climate/forecasts/verification/ Data description RPSS: http://iridl.ldeo.columbia.edu/maproom/Global/Forecasts/skill_precip_seasonal.html Data files RPSS: http://iridl.ldeo.columbia.edu/home/.jingyuan/.NMME_seasonal_hindcast_verification/.monthly_RPSS_seasonal_hindcast_precip_E...datapythonVotes: 0GitHub stars: 18
Twitter IntelAReal-time X/Twitter intelligence - analyze accounts, track topics, and monitor keywords using live data. Use when you need current social media insights, competitor monitoring, or audience research.datapythonbashVotes: 0GitHub stars: 18
Sap Rpt1 Oss PredictorAUse SAP-RPT-1-OSS open source tabular foundation model for predictive analytics on SAP business data. Handles classification and regression tasks including customer churn prediction, delivery delay forecasting, payment default risk, demand planning, and financial anomaly detection. Use when asked to predict, forecast, classify, or analyze patterns in SAP tabular data exports (CSV/DataFrame). Runs locally via Hugging Face model.datapythongoVotes: 0GitHub stars: 5
Weather FetcherAInstructions for fetching current weather temperature data for Karachi, Pakistan from wttr.in APIdataapiVotes: 0GitHub stars: 67,171
Github TopicsA追踪 GitHub 话题下的热门项目趋势，AI 智能分析，每日趋势报告。datapythonbashVotes: 0GitHub stars: 78
Yahoofi Info SignalAAnalyzes stock data and generates technical signals using Yahoo Finance. Use when the user asks for analysis of a specific stock ticker using this specific tool, or asks for "yahoo stock analysis" or mentions "get_info" or "signal" scripts. Provides RSI, MACD, MA, and simple trend signals.datapythongoVotes: 0GitHub stars: 5
sap-odata-explorerAQuery and explore SAP OData endpoints with secure logging and configurable output. Use this skill when the user needs to fetch data from SAP systems, explore SAP entity structures, or query SAP business objects like BusinessPartner, SalesOrder, Product, etc.datagobashVotes: 0GitHub stars: 17
Ai DailyAFetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes and shareable card images. Use when user asks about AI news, daily tech updates, or wants news organized by date or category.datapythongoVotes: 0GitHub stars: 235
Etl DesignerADesign ETL/ELT pipelines with proper orchestration, error handling, and monitoring. Use when building data pipelines, designing data workflows, or implementing data transformations.datapythonsqlVotes: 0GitHub stars: 29
Data Quality CheckerAImplement data quality checks, validation rules, and monitoring. Use when ensuring data quality, validating data pipelines, or implementing data governance.datapythongoVotes: 0GitHub stars: 29
Sdlc ReportsAGenerate comprehensive SDLC reports including iteration status, metrics dashboards, and executive summaries.datagoreactVotes: 0GitHub stars: 211
Decision SupportAFacilitate data-driven technical decisions using embedded decision matrices and trade-off analysis.datagosqlVotes: 0GitHub stars: 211