Skill UI

A systematic tool for scientific inquiry, guiding users through the entire research process. It helps formulate testable, mechanistic hypotheses from raw observations or preliminary data, following the established scientific method. The workflow includes comprehensive literature review, evidence synthesis, generating competing explanations, and designing experiments, all while mandating the creation of scientific schematics for visualization.

This comprehensive tool guides the systematic creation of detailed technical specifications. It orchestrates the entire design lifecycle, including context loading, deep discovery and analysis (tailored for new features, extensions, or simple additions), synthesis using established design principles, and generating a boundary-first, structured design draft. Ensures all requirements are mapped to explicit technical components.

This skill provides comprehensive integration with the LabArchives Electronic Lab Notebook (ELN) platform via its REST API. It allows users to programmatically manage notebooks, retrieve user data, automate entry creation, upload diverse attachments (PDF, CSV, images), perform full notebook backups, and generate detailed usage reports. Ideal for automating scientific workflows and integrating ELN data with tools like Jupyter or REDCap.

PufferLib is a high-performance, scalable RL framework designed for massive parallel training and vectorized simulation. Featuring PuffeRL (optimized PPO+LSTM) and the PufferEnv API, it supports multi-agent systems, custom environment creation, and achieves industry-leading speeds (up to millions of steps/second). Ideal for advanced research and large-scale AI experimentation.

This skill guides the creation of highly competitive research grant proposals for major funding bodies like NSF, NIH, DOE, DARPA, and NSTC. It covers all critical components, including significance statements, innovation narratives, budget planning, compliance with specific agency guidelines (e.g., PAPPG, R01), and structuring the proposal to maximize funding success. It is essential for academic and R&D professionals.

UMAP (Uniform Manifold Approximation and Projection) is a powerful technique for non-linear dimensionality reduction. This skill enables the creation of scalable, structure-preserving embeddings (2D/3D) for visualization, clustering preprocessing, and advanced machine learning feature engineering. It supports various metrics (e.g., Euclidean, Cosine) and supervised learning workflows.

Access comprehensive LaTeX templates, formatting requirements, and detailed submission guidelines for major academic venues. This skill supports the creation of manuscripts destined for top-tier journals (Nature, Science, Cell), international conferences (NeurIPS, ICML, CVPR), research posters, and major grant proposals (NSF, NIH, DOE). It ensures your work meets the specific formatting standards required by the target publication.

This document provides a comprehensive guide to managing rate limits when interacting with the Lucidchart API. It details specific limits for various operations (e.g., shape creation, document listing, exporting) and offers implementation patterns, including a token bucket rate limiter class and robust retry strategies. Use this knowledge to build automated workflows that reliably handle high-volume batch processing and prevent API throttling.

This skill provides comprehensive knowledge on setting up and handling real-time webhook events from Lucidchart. It details how to receive notifications—such as document creation, updates, sharing, and shape additions—via signed JSON payloads over HTTPS. Users can implement robust integrations for compliance auditing, triggering CI/CD pipelines, or notifying external collaboration tools like Slack.

This workflow provides an end-to-end programmatic solution for managing the Canva design lifecycle. It allows users to create new designs via the API, redirect users to the editor for modifications, retrieve design metadata, and finally, export finished assets in various high-quality formats (PDF, PNG, JPG, etc.). Ideal for integrating design capabilities into external applications like CMS or marketing automation tools.

A production-ready guide detailing the best-practice architecture for integrating with the Canva Connect API. It outlines the project structure, layer architecture (Routes, Services, Client, Infrastructure), authentication flow (OAuth 2.0 PKCE), and best practices for handling design creation, asset management, and exports. Use this when building new Canva-powered applications or standardizing existing integration projects.

Execute a comprehensive creative workflow utilizing the Adobe Firefly v3 API. This tool supports advanced AI image generation from text prompts (text-to-image), generative fill for inpainting masked areas, and image expansion (outpainting) to grow canvas size. Ideal for automating marketing asset creation and building complex creative pipelines.