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Data & AI

This scraper extracts structured information about human Visium HD Spatial Gene Expression datasets from the 10X Genomics website. For each entry, it retrieves the dataset name, URL, product, species, sample type, cells or nuclei, and preservation method. Useful for quickly compiling a workable list of available datasets without manual browsing.

Data & AI

Detect and analyze alpha decay in trading strategies using statistical methods. Helps identify strategies with degrading performance over time.

Data & AI

Creates a summary.md file capturing key metrics from a completed fine-tuning and evaluation experiment. Parses run statuses, extracts final training loss from SLURM logs and accuracy from .eval files, and compiles them into a textual report. Helps after running experiments to quickly get an overview of results without manually inspecting output files.

Data & AI

Classifies stablecoins to override default resilience sub-factor scores (chainRisk, collateralQuality, custodyModel) when the default inference is incorrect. Useful after adding new stablecoins or auditing existing scores for accuracy.

Data & AI

Displays call statistics for the Vocal Bridge voice agent, including total calls, success rate, average duration, and session details (completed, failed, abandoned). Helps monitor agent performance and retrieve actionable metrics, with optional JSON output for automation.

Data & AI

AI-powered analysis of cellular senescence signatures from transcriptomic (bulk or single-cell), proteomic, or imaging data. Helps identify senescent cells, characterize the senescence-associated secretory phenotype (SASP), estimate senescence burden across tissues, and predict senolytic drug sensitivity. Applicable to aging research, cancer therapy response, and senolytic drug development.

Data & AI

DFT calculation skill using VASP for electronic structure analysis and nanomaterial property prediction. Enables geometry optimization, band structure analysis, and materials property computation.

Data & AI

Select and apply the correct SQL connector implementation pattern (SDK-default minimal or source-specific custom) for building or extending SQL metadata/query extraction connectors. Helps developers choose between minimal and custom paths based on a decision tree, ensuring consistent implementation of authentication, preflight, workflow map, and transformation behavior.

Data & AI

Guided wizard to connect a new dataset. Walks users through selecting connection type, configuring credentials, validating connection, and profiling schema.

Data & AI

Browse and display metric definitions from the active dataset. Quick access to formulas, units, validation status, and metric specifications.

Data & AI

Converts JSON, YAML, XML, and CSV data into token-efficient formats like TSV, TOON, and YAML, reducing token usage by 30-70% for LLM inputs. Supports filtering by paths, limiting nesting depth, and truncating arrays to fit context windows. Useful for minimizing token consumption when feeding structured data to language models.

Data & AI

Master Retrieval-Augmented Generation (RAG) to build LLM applications that provide grounded responses using external knowledge sources. Implement Q&A systems, reduce hallucinations, and integrate LLMs with knowledge bases.