Skill UI

A comprehensive guide covering fundamental principles for creating 2D games. It details best practices for sprite organization (atlases, animation), tilemap design, physics implementation (collision shapes, fixed timestep), camera systems (follow, look-ahead), and genre-specific patterns like platformers and top-down games. Essential for game developers building robust 2D experiences.

A comprehensive guide covering core principles for building high-performance 3D game systems. Topics include the rendering pipeline, shader types, physics collision detection, camera control, and advanced optimization techniques like Frustum Culling and LOD. Ideal for developers needing to build visually rich and technically robust 3D environments.

Provides automated guidance for ab test analyzer workflows, covering SQL queries, visualization, statistical analysis, and BI validation so teams can run reliable experiments within data analytics contexts.

A comprehensive framework for rigorously testing and benchmarking LLM agents. It moves beyond simple pass/fail checks to assess complex behaviors, reliability metrics, and capability consistency across multiple runs. Ideal for production monitoring and identifying subtle failure modes in advanced AI agents.

A systematic workflow designed to significantly improve the reliability and performance of existing AI agents. It covers detailed performance analysis, including gathering metrics (e.g., task success rate, latency), classifying failure modes, and advanced prompt engineering techniques (like Chain-of-Thought and Constitutional AI). The process culminates in structured A/B testing and controlled deployment, ensuring measurable, robust improvements.

Aggregates performance metrics from applications, systems, databases, caches, queues, and external services into a central platform, helping teams define a consistent taxonomy, choose aggregation tools, and create dashboards and alerts for faster monitoring and troubleshooting.

Auto-activating aggregation helper skill for data analytics, following best practices for SQL, visualization and BI workflows, guiding queries/configs, and validating outputs.

Automate Amplitude analytics tasks through Composio’s Rube MCP toolkit, covering event ingestion, user activity, property management, cohorts, and schema discovery before each call.

Automate Amplitude analytics tasks through Composio’s Rube MCP toolkit, covering event ingestion, user activity, property management, cohorts, and schema discovery before each call.

Guides teams through assessing business goals, designing measurement plans, and implementing GA4/GTM tracking so marketing and product decisions rely on validated events, UTM strategies, and clean conversions.

Guides teams through assessing business goals, designing measurement plans, and implementing GA4/GTM tracking so marketing and product decisions rely on validated events, UTM strategies, and clean conversions.

Helps analyze current CPU, memory, storage, and network utilization to forecast future infrastructure needs, identify bottlenecks, and recommend scaling tactics with cost context for proactive capacity management.