Search Skills

Framework for generating high-quality text and image embeddings using pre-trained models, optimized for semantic search, RAG, and similarity tasks in production environments.

Creates professional slide decks for scientific presentations with structured templates, design guidance, and visual validation for PowerPoint and LaTeX Beamer.

Handles annotated data matrices for single-cell genomics, supporting AnnData objects, h5ad files, and integration with scanpy/scverse tools.

Queries ClinicalTrials.gov API v2 to search and retrieve clinical trial data by condition, drug, location, status, or phase for research purposes.

Accesses RCSB PDB database to search, download, and retrieve 3D protein/nucleic acid structures and metadata for structural biology and drug discovery.

Framework for organizing PyTorch code into LightningModules, enabling scalable neural network training with distributed computing and integrated logging.

Builds scalable backend systems using NodeJS, Express, and GraphQL for API design, database optimization, and security implementation.

Comprehensive guide for creating animated videos programmatically using React, including compositions and media handling.

Provides a production-ready guide for Motion Canvas with setup templates, ESM/CommonJS workarounds, and TypeScript-based video creation troubleshooting.

Provides a comprehensive guide for using the Manim Python framework to create mathematical animations and educational videos programmatically.

Enables deployment of pre-trained transformer models for NLP, computer vision, and multimodal tasks including text generation and image classification.

Enables efficient fine-tuning of large language models with limited resources using parameter-efficient methods like LoRA and QLoRA, integrated with HuggingFace Transformers.

Merges fine-tuned AI models using techniques like SLERP and Task Arithmetic to combine domain expertise without retraining, enhancing performance and enabling rapid experimentation.

Provides SHAP-based model interpretability for explaining predictions, feature importance, and bias analysis across ML models.

Guides users in interpreting and resolving n8n workflow validation errors, warnings, and structure issues.

Comprehensive statistical analysis toolkit for academic research, including hypothesis testing, regression, Bayesian methods, and APA reporting.

Queries PubChem database for chemical compounds, supporting searches by name, CID, SMILES, and retrieving properties, bioactivity, and similarity data.

Autonomous AI framework for biomedical research, executing complex tasks in genomics, drug discovery, and clinical analysis using LLM reasoning and integrated databases.

Comprehensive toolkit for protein language models (ESM3, ESM C) enabling sequence, structure, and function prediction, design, and engineering tasks.

Enables 4/3/2-bit quantization of LLMs without calibration data, accelerating deployment via vLLM and HuggingFace Transformers.

Provides a reference-free, efficient alternative to DPO for LLM preference alignment, achieving better performance with simpler training.

PyTorch-based toolkit for biomedical graph machine learning, featuring GNNs for molecular property prediction, protein modeling, and drug discovery tasks.

Direct REST API access to KEGG database for academic research, enabling pathway analysis, gene mapping, and metabolic pathway exploration.

Provides product managers with tools for feature prioritization, user research synthesis, PRD creation, and go-to-market strategy development.