GitHub
backend-python-performance
Profile and optimize Python backend code using cProfile, memory profilers, and performance best practices. Use when debugging slow FastAPI code, optimizing bottlenecks, or improving application performance.
Résultats pour « Python »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: Documentation
Explorer
GitHub
senior-backend
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...
GitHub
senior-architect
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...
GitHub
backend-async-python
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...
GitHub
cva-quickref-libpython
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...
GitHub
cva-setup-interop
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...
GitHub
backend-uv-manager
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...
GitHub
uv-python-manager
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...
GitHub
senior-data-scientist
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...
GitHub
tech-ecosystem-analyzer
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...
GitHub
senior-data-engineer
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...
GitHub
fullstack-ai-engineering
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...
GitHub
global-tech-stack
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...
GitHub
python-micrometer-core
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...
GitHub
python-micrometer-gcp-cloud-monitoring
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...
GitHub
python-micrometer-sli-slo-monitoring
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...
GitHub
observability-instrument-with-otel
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...
GitHub
python-micrometer-business-metrics
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...
GitHub
python-micrometer-metrics-setup
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...
GitHub
python-micrometer-cardinality-control
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...
GitHub
otel-logging-patterns
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,...
GitHub
backend-python-testing
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...
GitHub
python-test-micrometer-testing-metrics
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...
GitHub
pytest-async-testing
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...
Catégories populaires
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.