2 409 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 952 tokens or less — that is what one costs your context window when the agent loads it. 549 ship runnable scripts rather than instructions alone. 31 of them cannot work without an MCP server, most often rube. We also found 386 copies of these same skills sitting in other people's repositories — counted once here, not 386 times.
2 409 unique 443 authors 5 updated this month 241 from vendors
This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.
Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.
Instrument C/C++ with -finstrument-functions for execution tracing and Perfetto visualization
Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.
Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I''m stuck", "Im stuck", "I''m confused", "Im confused", "I don''t understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn''t this work", "why does not this work", "I''m a beginner", "Im a beginner", "I''m learning", "Im learning", "I''m new to this", "Im new to this", "walk me through", "how does this work", "what''s wrong with my code", "what''s wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics.
Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.
Google Workspace Admin SDK: Audit logs and usage reports.
Google Sheets: Append a row to a spreadsheet.
Google Sheets: Read values from a spreadsheet.
Google Sheets: Read and write spreadsheets.
Export a Google Sheets spreadsheet as a CSV file for local backup or processing.
Read event data from a Google Sheets spreadsheet and create Google Calendar entries for each row.
Set up a Google Sheets spreadsheet for tracking expenses with headers and initial entries.
Read data from a Google Sheet and create a formatted Google Docs report.
Append a deal status update to a Google Sheets sales tracking spreadsheet.
Export Google Contacts directory to a Google Sheets spreadsheet.
>- Multi-model LLM Council with live dashboard. Query multiple AI models simultaneously, see responses side-by-side in a swarm-style dashboard, synthesize consensus, and run anonymous model-to-model voting. Use when the user asks to start the LLM council, compare models, query multiple models, convene council, ask all models, do model comparison, run multi-model queries, or launch the council dashboard. Supports Claude Sonnet 4.5, Claude Opus 4.5, GPT-4o, GPT-5.1, Gemini 2.5 Flash, and Gemini 2.5 Pro via AI Gateway.
AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.
Simple Pomodoro timer for focused work sessions with session tracking and productivity analytics. Use when users request focus timers, ask about productivity patterns, or want to track work sessions over time. Demonstrates the System Skill Pattern (CLI + SKILL.md + Database).
| Ab Test Analyzer - Auto-activating skill for Data Analytics. Part of the Data Analytics skill category.
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".
| Aggregation Helper - Auto-activating skill for Data Analytics. Part of the Data Analytics skill category.
| Build a complete wallet portfolio tracker using Alchemy Enhanced APIs. Use when implementing token balance dashboards, NFT galleries, transaction history views, or wallet analytics applications. "alchemy transaction history", "build dApp with alchemy".
| reduce operations with batching and caching, monitor usage via Analytics API. "algolia pricing", "algolia expensive", "algolia budget".
| for multi-tenant RBAC, dashboard team management, and audit logging. "algolia team access", "algolia multi-tenant", "algolia SSO".
| OpenTelemetry tracing, structured logging, and Grafana dashboards. "monitor algolia", "algolia alerts", "algolia tracing", "algolia dashboard".
| Implement Algolia Insights API for click/conversion tracking, search analytics, and real-time event-driven index updates via database change listeners. "algolia click tracking", "algolia conversion", "algolia event tracking".
| Analyze DEX liquidity pools for TVL, volume, fees, impermanent loss, and LP profitability. Use when analyzing liquidity pools, calculating impermanent loss, or comparing DEX pools. Trigger with phrases like "analyze liquidity pool", "calculate impermanent loss", "LP returns", "pool TVL", "DEX pool metrics", or "compare pools".
| Anomaly Detector - Auto-activating skill for Data Analytics. Part of the Data Analytics skill category.
| This skill enables Claude to create Application Performance Monitoring (APM) dashboards. It is triggered when the user requests the creation of a new APM dashboard, monitoring dashboard, or a dashboard for application performance. The skill helps define key metrics and visualizations for monitoring application health, performance, and user experience across multiple platforms like Grafana and Datadog. Use this skill when the user needs assistance setting up a new monitoring solution or expanding an existing one. The plugin supports the creation of dashboards focusing on golden signals, request metrics, resource utilization, database metrics, cache metrics, business metrics, and error tracking.
| Build property management dashboard with AppFolio API data.
| Monitor Apple Notes automation health and performance metrics.
| This skill enables Claude to profile application performance, analyzing CPU usage, memory consumption, and execution time. It is triggered when the user requests performance analysis, bottleneck identification, or optimization recommendations. The skill uses the application-profiler plugin to identify performance bottlenecks and suggest code-level optimizations. Use it when asked to "profile application", "analyze performance", or "find bottlenecks". It is also helpful when the user mentions specific performance metrics like "CPU usage", "memory leaks", or "execution time".
| This skill empowers Claude to build AutoML pipelines using the automl-pipeline-builder plugin. It is triggered when the user requests the creation of an automated machine learning pipeline, specifies the use of AutoML techniques, or asks for assistance in automating the machine learning model building process. The skill analyzes the context, generates code for the ML task, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when the user explicitly asks to "build automl pipeline", "create automated ml pipeline", or needs help with "automating machine learning workflows".
Hands-on implementation partner for creating tools, scripts, dashboards, and prototypes. Use when the user wants to build something tangible — apps, scripts, automations, or internal tools. Triggers include "build", "create tool", "make app", "implement", "prototype", "automate", or when the goal is working software.
| Optimize CAST AI autoscaler performance, node provisioning speed, and API efficiency. Use when nodes take too long to provision, autoscaler is not reacting fast enough, or optimizing API call patterns for multi-cluster dashboards. Trigger with phrases like "cast ai performance", "cast ai slow", "cast ai node provisioning", "cast ai autoscaler speed".
| Chart Js Config Creator - Auto-activating skill for Visual Content. Part of the Visual Content skill category.
| Chart Type Recommender - Auto-activating skill for Data Analytics. Part of the Data Analytics skill category.
| Churn Analysis Helper - Auto-activating skill for Data Analytics. Part of the Data Analytics skill category.
| and rep performance dashboards from exported data. Use when analyzing forecast accuracy, building attainment reports, or creating executive revenue dashboards. Trigger with phrases like "clari analytics", "clari dashboard", "clari forecast accuracy", "clari pipeline coverage".
| Set up local development for Clari API integrations with mock data. Use when building forecast dashboards, testing export pipelines, or iterating on Clari data transformations locally. Trigger with phrases like "clari dev setup", "clari local testing", "develop with clari", "clari mock data".
| Reference architecture for Clari revenue intelligence integrations. Use when designing a forecast data platform, planning Clari integration architecture, or establishing team patterns for revenue analytics. Trigger with phrases like "clari architecture", "clari data platform", "clari integration design", "clari best practices".
| Monitor ClickUp API integrations with metrics, tracing, structured logging, and alerting using Prometheus, OpenTelemetry, and Grafana. "monitor clickup", "clickup alerts", "clickup tracing", "clickup dashboard".
| This skill enables Claude to execute clustering algorithms on datasets. It is used when the user requests to perform clustering, identify groups within data, or analyze data structure. The skill supports algorithms like K-means, DBSCAN, and hierarchical clustering. Claude should use this skill when the user explicitly asks to "run clustering," "perform a cluster analysis," or "group data points" and provides a dataset or a way to access one. The skill also handles data validation, error handling, performance metrics, and artifact saving.
| Cohort Analysis Creator - Auto-activating skill for Data Analytics. Part of the Data Analytics skill category.
Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like "collect infrastructure metrics", "monitor server performance", or "track system resources".