Results for “health-data”
13 skills
cloudthinker-ai azure-sql
Manages and analyzes Azure SQL databases via Azure CLI, covering DTU/vCore performance, elastic pools, geo-replication, and health monitoring.
7
redpanda-data connect-debugging
Diagnoses and validates Redpanda Connect pipelines using linting, dry-run connection tests, logging, metrics, tracing, and health endpoints, including enterprise feature troubleshooting.
6 · bundle
redpanda-data streaming-debugging
Diagnoses Redpanda broker and cluster health using debug bundles, metrics endpoints, logs, CPU profiling, and partition/raft checks, with triage playbooks for common failure modes.
6 · bundle
30eggis sales-sales-pipeline-analyst
Revenue operations analyst specializing in pipeline health diagnostics, deal velocity analysis, forecast accuracy, and data-driven sales coaching. Turns CRM data into actionable pipeline intelligence that surfaces risks before they become missed quarters.
2
github appinsights-instrumentation
Instrument a web application to send telemetry data to Azure Application Insights for observability of app health.
36.2k · bundle
More results
cloudthinker-ai aws-rds-deep
Deep-dive analysis of AWS RDS instances using Performance Insights, event subscriptions, proxy health, and global database status, with parallel execution and anti-hallucination guardrails.
7
k-dense-ai pyhealth
Build clinical deep-learning pipelines with PyHealth: load EHR, signal, and imaging datasets, define prediction tasks, instantiate models, train with the PyHealth Trainer, and compute clinical metrics.
30.2k · bundle
redpanda-data rpk-cluster
Operate a Redpanda cluster's health, brokers, configuration, and maintenance from the CLI using the `rpk cluster` command group, the front-end to the Admin API. Use when checking cluster health or metadata, decommissioning or recommissioning brokers, getting or setting cluster config properties, balancing or moving.
6 · bundle
alterlab-ieu alterlab-eda
Exploratory data analysis (EDA) on a scientific data file — auto-detects the format, runs structure/quality/statistics checks, and writes a markdown EDA report with downstream recommendations. Use when asked to "explore", "analyze", "summarize", "profile", or "QC" a data file, or to understand its structure/content/quality before deciding what analysis to run. Covers tabular (.csv .tsv .xlsx .parquet), arrays (.npy .npz .hdf5 .h5 .mat .fits), sequence/genomics (.fasta .fastq .sam .bam .vcf .bed .gff .gtf .h5ad), microscopy (.tif .nd2 .czi .lif .ims .dcm .nii), spectroscopy/MS (.mzML .mzXML .mgf .fid .jdx), chemistry (.pdb .cif .mol .sdf .xyz .gro), and proteomics/metabolomics (.pepXML .mzid .mzTab). For zero-shot forecasting of a series use alterlab-timesfm; to create/configure a chunked cloud array store use alterlab-zarr. Part of the AlterLab Academic Skills suite.
60 · bundle
tradermonty skill-integration-tester
Validate multi-skill workflows by checking skill existence, inter-skill data contracts, JSON schema compatibility, file naming conventions, and handoff integrity.
2.3k · bundle
redpanda-data sql-debugging
Diagnose and observe an Oxla distributed analytical database using system catalog tables, Prometheus metrics, runtime log-level changes, and troubleshooting workflows for slow queries, node health, and memory/OOM pressure. Also covers debugging Oxla's external data sources, including the Redpanda/Kafka ingestion path.
6 · bundle
redpanda-data streaming-admin-api
Operate a Redpanda cluster via its HTTP Admin API on port 9644, covering broker lifecycle, partitions, cluster config, health, security, and enterprise features.
6 · bundle
theheavenlyd3mon release-it
Build production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "timeout strategy", "deployment pipeline", "chaos engineering", "bulkhead pattern", "retry with backoff", or "health checks". Also trigger when designing resilient microservices, planning zero-downtime deployments, or investigating cascading failure scenarios. Covers capacity planning, health checks, and anti-fragility patterns. For data systems, see ddia-systems. For system architecture, see system-design.
28 · bundle