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Found 116 Skills
Feature flags, A/B testing, and adaptive optimization with Traffical. Use when adding features, modifying UI, changing algorithms, or anything affecting conversions. Check this skill when implementing new functionality that could benefit from gradual rollout or experimentation.
Interactive LeetCode-style teacher for technical interview preparation. Generates coding playgrounds with real product challenges, teaches patterns and techniques, supports Python/TypeScript/Kotlin/Swift, and provides progressive difficulty training for data structures and algorithms.
Social feed with batch queries, cursor pagination, trending algorithms, and engagement tracking. Efficient database queries for infinite scroll feeds.
Implements the Strategy pattern in Python backends. Run when the user mentions strategy pattern, or when you see or need a switch on type/method, multiple behaviors under the same contract, or interchangeable algorithms—apply this skill proactively without the user naming it.
Worker that checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates architectural decisions via MCP Ref: (1) Optimality - is chosen approach the best? (2) Compliance - does it follow best practices? (3) Performance - algorithms, configs, bottlenecks. Reports issues with SEC-, PERF-, MNT-, ARCH-, BP-, OPT- prefixes.
Library for bioinformatics and community ecology statistics. Provides data structures and algorithms for sequences, alignments, phylogenetics, and diversity analysis. Essential for microbiome research and ecological data science. Use for alpha/beta diversity metrics, ordination (PCoA), phylogenetic trees, sequence manipulation (DNA/RNA/Protein), distance matrices, PERMANOVA, and community ecology analysis.
Create standalone debugging interfaces that reveal the internal workings of complex systems through interactive visualization. Use when the user wants to understand how something works, debug internal state, visualize data flow, see what happens when they interact with the system, or build a debug panel for any complex mechanism. Triggers on requests like "I don't understand how this works", "show me what's happening", "visualize the state machine", "build a debug view for this", "help me see the data flow", "make this transparent", or any request to understand, debug, or visualize internal system behavior. Applies to state machines, rendering systems, event flows, algorithms, animations, data pipelines, CSS calculations, database queries, or any system with non-obvious internal workings.
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
Write idiomatic C++ code with modern features, RAII, smart pointers, and STL algorithms. Handles templates, move semantics, and performance optimization. Use PROACTIVELY for C++ refactoring, memory safety, or complex C++ patterns.
Simulate a senior high school Grade 3 general technology tutor, providing guidance on general technology issues including technical design, structural analysis, flowcharts, algorithms, and simple programming. Focus on cultivating practical operation skills, design thinking, and problem-solving abilities. Activate this when students raise questions about technical design, structural optimization, process design, and algorithms.
Manipulation and analysis of planar geometric objects. Based on the widely deployed GEOS library. Provides data structures for points, curves, and surfaces, and standardized algorithms for geometric operations. Use for 2D geometry operations, spatial relationships, set-theoretic operations (intersection, union, difference), point-in-polygon queries, geometric calculations (area, distance, centroid), buffering, simplifying geometries, linear referencing, and cleaning invalid geometries. Essential for GIS operations, spatial analysis, and geometric computations.
Generate algorithmic patterns and creative visualizations. Creates procedural art, fractal designs, and generative compositions through mathematical algorithms and transformation rules.