Write scientific manuscripts. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), abstracts, for research papers and journal submissions.
WHAT YOU BECOME
Perfect for these scenarios
Simulate production bottlenecks and optimize workflow to reduce downtime.
Model supply chain delays and test routing strategies to cut delivery times.
Analyze waiting rooms and resource allocation to improve care efficiency.
Predict server loads and test auto-scaling policies to avoid crashes.
MEASURED GAIN
Proven benefits and measurable impact
Test scenarios in hours instead of weeks for rapid system optimization.
Identify inefficiencies before implementation to save on physical changes.
Run unlimited simulations without real-world disruptions or costs.
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
Recommended based on tags and category
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
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.
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.
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