Results for “ets”

10 skills
expo
Eas Observe
Add EAS Observe to an Expo project for startup, navigation, and custom-event performance metrics, query them via the EAS CLI, and interpret the results.
2.2k · bundle
expo
Eas Workflows
Write and validate EAS CI/CD workflow YAML files for Expo projects, using the official schema and documentation.
2.2k · bundle
leandrobenjaminl
Etl Pipelines
Construye pipelines ETL/ELT con Pandas: extracción, transformación y carga de datos con logging, manejo de errores, idempotencia y opciones de orquestación.
0 · bundle
mukul975
Performing Kubernetes Etcd Security Assessment
Assess the security posture of Kubernetes etcd clusters by evaluating encryption at rest, TLS configuration, access controls, backup encryption, and network isolation.
24.6k · bundle
aibot88
AWS
AWS infrastructure management — EKS, ECR, VPC, RDS, ElastiCache, S3, Route53, ACM, Secrets Manager, CloudWatch, IAM
3 · bundle
ziri22
Agent Etl Pipeline
ETL Pipeline Specialist IA — Expert en pipelines ETL (Airflow, dbt, data quality, incremental loads, CDC)
6
expo
Eas Update Insights
Query EAS Update health metrics from the CLI: crash rates, install/launch counts, unique users, payload size, and embedded vs OTA user splits per channel.
2.2k · bundle
expo
Expo Observe
Add EAS Observe to an Expo project for startup, navigation, and custom-event performance tracking, query metrics via the EAS CLI, and interpret results.
2.2k · bundle
metinduraktr-44
Esm
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
0 · bundle
projectious-work
Data Pipeline
Data pipeline patterns — ETL/ELT, batch vs streaming, idempotency, orchestration. Use when designing a data pipeline, choosing between batch and streaming, implementing ingestion or transformation, setting up orchestration, or debugging pipeline failures.
0