uspto-database
Access USPTO data (Patent Search, PEDS, TSDR, assignments) when you need to query patents/trademarks and retrieve prosecution or status information programmatically.
Access USPTO data (Patent Search, PEDS, TSDR, assignments) when you need to query patents/trademarks and retrieve prosecution or status information programmatically.
This skill is applicable when using LaminDB. LaminDB is an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR-compliant. It is suitable for managing biological datasets (scRNA-seq, spatial transcriptomics, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakes, or ensuring data lineage and reproducibility in biological research. It covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integration with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Use lab budget forecaster for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
Import local literature into a managed library; trigger when you need offline deduplication, tagging, and a searchable index.
Use Bio.Entrez to access NCBI databases (e.g., PubMed/GenBank) for searching, fetching summaries, and downloading records when your workflow needs to call the NCBI E-utilities API over the network.
Connect a CMS to toprank SEO tools. Guides users through configuring WordPress, Strapi, Contentful, or Ghost — tests the connection, and writes credentials to .env.local. Once set up, seo-analysis automatically cross- references CMS content against Google Search Console data. Use whenever the user says "connect my CMS", "set up WordPress", "configure Strapi", "add Contentful", "connect Ghost", or "CMS setup". Also trigger if the user asks why no CMS data appears in a seo-analysis report.
PyTorch-native Graph Neural Network framework for molecules and proteins. Suitable for building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, and retrosynthesis. If you need pretrained models and diverse feature extractors, use deepchem; if you need benchmark datasets, use pytdc.
Transform requirements into precise specifications for coding tasks
Best practices for building and improving React code components in Framer, a no-code website builder. Covers property controls, animations, accessibility, and platform constraints. Use when creating, editing, or reviewing Framer components, working with ControlType property controls, or building React components for Framer projects.
Generate 3D animation scripts and lay explanations for drug mechanisms.
Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling. Triggered when user wants to deploy, update, or manage model deployments.
Generate NIH Biosketch documents compliant with the 2022 OMB-approved.
Convert complex Venn diagrams with more than 4 sets to clearer Upset.
Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI. Covers the signing proxy, container registry setup, OCI Container Instance deployment, and PromQL dashboards. Triggered when user wants to monitor LLM deployments, view TTFT/latency/throughput metrics, or set up observability for AQUA.
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan's NSTC when you need agency-compliant narratives, budgets, and review-criteria alignment for a specific solicitation/FOA/BAA.
Score the novelty of biological targets through literature mining and.
Expert system for generating comprehensive biomedical phenotype introductions with structured academic content. Use when users request detailed explanations of cellular phenotypes including concept, mechanism, regulation, and detection methods in Chinese academic writing.