Skills matching the name, description or GitHub author.
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implement...
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes archi...
Master Python asyncio, concurrent programming, and async/await patterns for high-performance FastAPI applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-block...
Quick reference cheatsheet for libpython-clj Python interop. Includes initialization, module imports, function calls, data conversions, NumPy/Pandas/Transformers patterns, and troubleshooting. Use when calling...
Python interoperability setup using libpython-clj for Clojure agent development. Includes Python environment configuration, module importing strategies, data type conversion between Python and Clojure, NumPy/Pa...
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python backend project workflows. Use when setting up Python projects, managing dependencies, or optimizing...
Standardize Python development using UV - a fast, unified package and project manager. Use when creating Python projects, managing dependencies, setting up virtual environments, installing Python versions, or o...
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, t...
This skill should be used when users request comprehensive analysis of technology ecosystems, comparing multiple libraries/frameworks/tools with quantitative metrics from GitHub and web research. Trigger words...
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data mode...
A comprehensive, long-horizon skill for designing, coding, debugging, and scaling AI-integrated systems — including Python backends, React frontends, RAG pipelines, vector databases, and tool orchestration. Ens...
Maintain approved technology stack including TypeScript/Python languages, React/Tailwind frontend, Node.js/FastAPI backend, PostgreSQL/Redis persistence, and Ansible infrastructure automation with enforced qual...
Instrument Java/Spring Boot applications with observability metrics. Use when adding metrics to microservices, integrating with monitoring systems (Prometheus, Cloud Monitoring), managing metric cardinality, or...
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and re...
Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use when implementing availability and latency SLOs, creating SLO-aligned histogram buckets, m...
Add OpenTelemetry instrumentation to service methods for distributed tracing and observability. Use when adding new service methods, debugging complex flows, investigating performance issues, or need distribute...
Implement domain-specific KPI metrics for business operations like charges, invoices, payments. Use when instrumenting service layer operations, measuring business process outcomes, implementing SLI/SLO monitor...
Set up Micrometer metrics in a Spring Boot service from scratch, including dependencies, Actuator configuration, and registry customization. Use when starting a new microservice, configuring metrics export back...
Prevent OutOfMemoryError from unbounded metric tags by implementing cardinality limits. Use when adding tags to Micrometer metrics, normalizing URIs or IDs to bounded categories, monitoring metric explosion, or...
Implement OpenTelemetry (OTEL) logging with trace context correlation and structured logging. Use when setting up production logging with OTEL exporters, structlog/loguru integration, trace context propagation,...
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development for FastAPI applications. Use when writing Python tests, setting up test suites, or implementing testing be...
Test custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles an...
Complete patterns for testing async Python code with pytest: pytest-asyncio configuration, AsyncMock usage, async fixtures, testing FastAPI with AsyncClient, testing Kafka async producers/consumers, event loop...
Create pytest fixtures following project patterns including factory fixtures, async fixtures, and multi-layer organization. Use when setting up test fixtures, creating test data, organizing test utilities, or s...
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