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Found 3,730 Skills
Use this skill when building dbt models, designing semantic layers, defining metrics, creating self-serve analytics, or structuring a data warehouse for analyst consumption. Triggers on dbt project setup, model layering (staging, intermediate, marts), ref() and source() usage, YAML schema definitions, metrics definitions, semantic layer configuration, dimensional modeling, slowly changing dimensions, data testing, and any task requiring analytics engineering best practices.
Use this skill when implementing chaos engineering practices, designing fault injection experiments, running game days, or improving system resilience. Triggers on chaos engineering, fault injection, Chaos Monkey, Litmus, game days, resilience testing, failure modes, blast radius, and any task requiring controlled failure experimentation.
Runs .NET tests with dotnet test. Use when user says "run tests", "execute tests", "dotnet test", "test filter", "tests not running", or needs to detect the test platform (VSTest or Microsoft.Testing.Platform), identify the test framework, apply test filters, or troubleshoot test execution failures. Covers MSTest, xUnit, NUnit, and TUnit across both VSTest and MTP platforms. DO NOT USE FOR: writing or generating test code, CI/CD pipeline configuration, or debugging failing test logic.
/em -stress-test — Business Assumption Stress Testing
Use this skill when working with game balancing - economy design, difficulty curves, progression systems, reward schedules, playtesting analysis, or tuning game parameters. Triggers on any game design task involving resource sinks and faucets, XP curves, loot tables, difficulty scaling, player retention mechanics, or interpreting playtest data to adjust game feel.
Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", or "test assumptions". Covers innovation accounting and actionable metrics. For 5-day prototype testing, see design-sprint. For customer motivation analysis, see jobs-to-be-done. Trigger with 'lean', 'startup'.
Use when handling authentication, authorization, encryption, HIPAA compliance, SOC 2, privacy policies, penetration testing, or any security and compliance concerns
DataWorks Infrastructure Management: Create and query operations for Data Sources (51 types), Compute Resources, and Serverless Resource Groups, plus connectivity testing and resource group binding/unbinding. Uses aliyun CLI to call dataworks-public OpenAPI (2024-05-18). Trigger keywords: DataWorks data source, compute resource, resource group, datasource, data source, compute resource, resource group, mysql/hologres/maxcompute data source, holo/mc/flink resource, Serverless resource group, DataWorks infra, create/list datasource, DW environment config, infrastructure initialization, connect database to DataWorks, database connection failure, configure holo/mc resource. Not triggered: data development tasks, scheduling configuration, MaxCompute table management, data integration tasks, ECS/RDS/OSS operations, workspace member management, data quality monitoring, data lineage, data preview.
Personal PHP conventions enforced when creating, modifying, or planning code that will touch PHP files. Covers strict types, function imports, testing philosophy, class design, observability, and planning practices. Activate whenever working on PHP code.
A complete guide to developing MusicFree desktop theme packs from scratch. It is triggered when users request to write, create, design MusicFree desktop theme packs, or ask to generate themes based on reference images, color schemes, or style keywords. It covers the full process including CSS variable system, color design paradigms, static themes, dynamic iframe themes, resource optimization, packaging testing, and submission to the theme market. This Skill is designed for AI execution, guiding AI to collaborate with community contributors (who may have no front-end experience) to complete theme pack development.
Databricks SQL query optimizer: analyzes a slow SQL query, rewrites it for speed using SQL-level optimizations only, validates byte-for-byte result equivalence, and benchmarks both versions with statistical significance testing. Use this skill whenever the user wants to optimize, speed up, tune, or benchmark a SQL query on Databricks. Trigger on: "/databricks-sql-autotuner", "optimize this SQL", "make this query faster", "tune my Databricks query", "benchmark SQL on Databricks", "speed up this spark SQL", "SQL performance on Databricks", "EXPLAIN this query", "why is my query slow on Databricks", "SQL query optimization Databricks", or whenever a user pastes a SQL query and mentions performance, slowness, or runtime.
Review the latest changes and check whether they comply with the project's documented guidelines (AGENTS.md, CLAUDE.md, or equivalent). Use when reviewing local diffs, recent commits, or feature work and you need a findings-first assessment of architecture, reuse, testing, and repo-specific rules.