Search Skills

Provides a unified Python API for accessing and analyzing biological data across 40+ bioinformatics databases including UniProt, KEGG, and PubChem.

Guidance controls LLM outputs using regex and grammars to guarantee valid JSON, XML, and code generation, enforcing structured formats and enabling multi-step workflows.

Automates addressing GitHub PR comments using gh CLI, verifying authentication and simplifying code review workflows.

Enables querying the CZ CELLxGENE Census for single-cell expression data with biological filtering and integration to scanpy/PyTorch for population-scale analysis.

Automates meeting preparation by integrating Notion context and research to draft agendas and pre-reads tailored to attendees.

Accesses BRENDA enzyme database via SOAP API to retrieve kinetic parameters, reaction equations, and organism data for biochemical research and metabolic pathway analysis.

Drafts professional emails for business, technical, and customer communication contexts, ensuring clarity and appropriateness.

High-performance vector similarity search engine for RAG and semantic search, enabling fast nearest neighbor and hybrid search in production systems.

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching for production API deployment.

Tracks ML experiments with automatic logging, real-time visualization, hyperparameter sweeps, and model registry management in a collaborative MLOps platform.

Provides ISO 27001 audit expertise, security control assessment, and compliance verification for internal and external ISMS audits.

Platform for creating and deploying persistent autonomous AI agents that execute multi-step automation through visual workflows and continuous agent systems.

Generates comprehensive market research reports with strategic analysis frameworks, professional formatting, and data-driven insights in top consulting firm style.

Programmatically accesses NIH Metabolomics Workbench database to query metabolite data, MS/NMR spectra, and study metadata for biomarker discovery and metabolomics research.

Generates compliant clinical reports including case, diagnostic, trial, and patient documentation with regulatory templates and validation tools.

Enables Bayesian inference with PyMC, including hierarchical models, MCMC (NUTS), and model comparison techniques for probabilistic programming.

Comprehensive citation management tool for academic research, enabling search, metadata extraction, citation validation, and BibTeX generation from sources like Google Scholar and PubMed.

Generates professional academic research posters in LaTeX using beamerposter, tikzposter, and baposter with layout design and visual best practices.

Visualizes ML training metrics, model graphs, and performance for debugging and experiment comparison using Google's TensorBoard.

Unifies distributed training frameworks for PyTorch with minimal code changes, automatic device placement, and mixed precision support.

Simplifies RDKit for drug discovery tasks including SMILES parsing, molecular descriptors, and 3D conformer generation.

Compresses large language models via knowledge distillation, retaining performance while reducing inference costs. Supports soft targets and logit distillation techniques.

Analyzes Neuropixels neural recordings including preprocessing, spike sorting, and AI-assisted quality assessment for extracellular electrophysiology data.

Integrates with protocols.io API to manage scientific protocols, including creation, updates, collaboration, and documentation for lab and research workflows.