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COBRApy is a powerful Python library for Constraint-Based Reconstruction and Analysis (COBRA). It enables deep dives into cellular metabolism, allowing users to build, simulate, and analyze complex metabolic models (e.g., genome-scale models). Core functionalities include Flux Balance Analysis (FBA), Flux Variability Analysis (FVA), performing gene/reaction knockouts, and optimizing growth media. It supports standard metabolic model formats like SBML, JSON, and YAML.

This comprehensive guide details the process of managing BambooHR API changes, addressing breaking changes, and migrating from legacy patterns. It covers critical tasks such as converting XML to JSON, updating deprecated field usages (e.g., 'bestEmail' to 'workEmail'), and implementing robust testing and rollback strategies for seamless integration.

This guide covers advanced usage of the Anthropic Messages API. Learn how to implement real-time streaming responses, utilize system prompts for persona control, process visual inputs (Vision), and enforce structured data output (JSON). This is essential for building sophisticated, robust, and multi-modal Claude-powered applications.

Automatically scaffolds the initial project specification and requirements documents (spec.json and requirements.md). It guides the user through scope definition by checking existing project briefs, clarifying intent (who, current state, desired change), and generating a structured, ready-to-use foundation for development planning. Ideal for starting any new feature or project.

This comprehensive guide provides advanced workflows for interacting with ClickHouse. It covers efficient bulk data insertion (CSV, JSON), complex analytical querying (funnel analysis, retention), implementing materialized views for pre-aggregation, and utilizing powerful window functions. Ideal for building high-performance OLAP dashboards and executing large-scale data transformations.

This comprehensive workflow provides robust export and conversion capabilities for Apple Notes. It converts Apple Notes' internal HTML storage into multiple developer-friendly formats, including Markdown, JSON, HTML, and SQLite. Use it for reliable backups, migrating notes to other applications, or building searchable, portable note archives.

Execute comprehensive document workflows using Adobe PDF Services API. This skill allows you to convert content (HTML/DOCX) into PDFs, extract structured text and tables from existing PDFs using Sensei AI, generate dynamic documents from Word templates, and convert PDFs to Markdown. Ideal for building robust document automation pipelines and advanced content extraction solutions.

This guide demonstrates how to implement tool use (function calling) with Claude's Messages API. It covers defining structured tools using JSON Schema, handling tool calls, executing the corresponding code, and feeding the results back to create sophisticated, multi-step AI agents and complex workflows.

This resource provides production-ready architectural patterns for integrating Anthropic's Claude models using TypeScript and Python. It covers robust client wrappers, managing multi-turn conversations, enforcing structured JSON output via prefilling, and implementing multi-tenant architectures. Essential for building reliable, enterprise-grade AI applications.

This advanced guide covers core Anthropic workflow patterns, specifically focusing on tool use (function calling) and building complex, agentic loops. It provides detailed instructions on defining tools using JSON Schema, executing tool calls, and managing the iterative process required for building sophisticated, AI-powered agents using the Anthropic API.

This workflow is designed for developers building design-to-code pipelines. It connects to Figma via API to extract core design tokens, including colors, typography styles, and spacing values. It converts these raw design assets into structured code formats, such as CSS custom properties, JSON tokens, and Tailwind configurations, ensuring design consistency across development environments.

Generates high-quality, deterministic, and editable vector diagrams (SVG) for system architecture, workflows, and pipelines. By using a structured JSON specification (FigureSpec), it ensures that the same input always yields the identical output, making it ideal for reproducible technical documentation, academic papers, and formal system modeling where precise layout and connections are critical. It is optimized for non-data-plot, formal diagrams.