This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
WHAT YOU BECOME
Perfect for these scenarios
Set up recurring jobs like backups, reports, or API calls without coding.
Track execution status, logs, and errors for all scheduled tasks in one place.
Quickly diagnose and fix issues with failed cron jobs using detailed logs.
Handle high-frequency or complex job schedules with ease using cronjob.org.
MEASURED GAIN
Proven benefits and measurable impact
Cut configuration time by half with pre-built templates and CLI tools.
Ensure near-perfect uptime for critical scheduled tasks with robust infrastructure.
Free up time for developers by automating repetitive job management tasks.
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
NEXT SCRIPTS
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This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating documentation for AI agent workflows, onboarding guides, or when standardizing agent interaction patterns across projects.