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VastAI Compute Architecture

vastai-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Outlines a Vast.ai reference architecture that combines instance selection, training job automation, Docker image prep, data transfer handling, and runtime error patterns so teams can standardize GPU ML pipelines.

BRENDA Enzyme Explorer

brenda-database

K-Dense-AI/claude-scientific-skills

Access the BRENDA SOAP API to retrieve enzyme kinetic parameters, reaction equations, organism-specific data, and environmental preferences, enabling biochemical research, metabolic pathway reconstruction, and enzyme engineering workflows.

Genomic Interval Toolkit

K-Dense-AI/claude-scientific-skills

High-performance Rust toolkit with Python bindings for genomic interval analysis, covering overlap detection, coverage track generation, ML tokenization, reference sequence handling, fragment processing, and scoring workflows for sequencing datasets.

Automated Chart Visualization

chart-visualization

bytedance/deer-flow

Transforms raw input into intelligent visualizations by selecting from 26 chart types, extracting required parameters from reference specs, and running a Node.js generator to return the final chart image URL and payload.

BigQuery Pipeline Audit

bigquery-pipeline-audit

github/awesome-copilot

Reviews Python + BigQuery pipelines to flag runaway costs, missing dry-run safeguards, unsafe backfills, write idempotency issues, and monitoring gaps, returning a structured report with exact function/line references for minimal fixes.

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