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Biopython Molecular Toolkit

K-Dense-AI/scientific-agent-skills

Biopython provides Python APIs for sequence manipulation, database access, BLAST automation, structural bioinformatics, and phylogenetics, making it ideal for scripting custom pipelines and batch processing in computational molecular biology workflows.

Datamol Cheminformatics Helper

K-Dense-AI/scientific-agent-skills

Datamol wraps RDKit with Pythonic APIs tailored for drug discovery, offering SMILES/SELFIES/InChI parsing, standardization, descriptor and fingerprint calculation, clustering, 3D conformer workflows, and parallel/cloud-aware batch I/O while returning native rdkit.Chem.Mol objects.

Matplotlib Visualization Guide

K-Dense-AI/scientific-agent-skills

Guides using matplotlib to craft static, animated, and interactive plots through both pyplot and object-oriented APIs, detailing styling, subplots, and export options for publication-ready scientific workflows.

Modal Cloud GPU Platform

K-Dense-AI/scientific-agent-skills

Modal delivers cloud-native serverless Python with on-demand GPUs, persistent storage, and web endpoints to deploy ML workloads, batch jobs, and APIs without writing Dockerfiles.

Polars Bio Genomics Toolkit

K-Dense-AI/scientific-agent-skills

polars-bio accelerates genomic interval math and bioinformatics I/O by combining Polars, Arrow, and DataFusion to handle BED/VCF/BAM/GFF/FASTA streams, SQL queries, and cloud storage with overlap, coverage, and nearest APIs plus streaming fallbacks.

Single-Cell Generative Toolkit

K-Dense-AI/scientific-agent-skills

Probabilistic deep-learning framework built on PyTorch for single-cell omics; handles batch correction, integration, multimodal and spatial data, differential expression, and transfer learning with unified APIs.

VS Code Extension Development Guide

vscode-extension-guide-en

sickn33/antigravity-awesome-skills

A comprehensive guide covering the entire lifecycle of building VS Code extensions, from initial scaffolding to successful Marketplace publication. Learn best practices for Webviews, TreeViews, testing, packaging, and troubleshooting, ensuring compatibility with the latest APIs.

Optimize Adobe API Costs and Usage

adobe-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and toolkit for optimizing and monitoring consumption-based costs across the Adobe Creative Cloud ecosystem. It provides strategies and code snippets for tracking usage (credits, transactions) for Firefly, PDF Services, Photoshop, and Lightroom APIs. Use this when implementing usage monitoring, managing billing alerts, or reducing operational expenses related to Adobe API calls.

Adobe Core API Quickstart Guide

adobe-hello-world

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide provides minimal working examples for key Adobe APIs: Firefly AI image generation, PDF content extraction, and Photoshop background removal. It serves as a practical quickstart for developers starting new Adobe integrations, testing API connectivity, or learning basic API calling patterns using TypeScript and Node.js.

Adobe API Integration Best Practices

adobe-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

This guide identifies and corrects the most common programming mistakes and anti-patterns when integrating with Adobe APIs. It covers critical topics such as migrating from deprecated JWT to OAuth, implementing token caching, handling asynchronous job polling, and secure file uploads. Essential reading for building robust, production-ready Adobe integrations.

Adobe Local Development Workflow Setup

adobe-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide details setting up a robust, local development loop for Adobe integrations (Firefly, PDF, Photoshop). It covers using the `aio` CLI for App Builder, implementing hot reload, and establishing unit/integration testing with mocking to ensure rapid, reliable iteration cycles for Adobe APIs.

Adobe API Performance Optimization Guide

adobe-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for developers to optimize performance when integrating Adobe APIs (Firefly, PDF, Photoshop). Techniques covered include implementing token caching, parallelizing asynchronous job submissions, leveraging response caching (LRU), and optimizing connection handling to minimize latency and maximize throughput.

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