Search Skills

Analyzes geospatial data with geopandas, handling coordinate projections for distance calculations, spatial filtering, and earthquake data processing.

Optimizes LLM inference request batching and scheduling to minimize cost while meeting latency and padding constraints through strategic grouping and shape management.

Guides LaTeX document editing to eliminate overfull hbox warnings by substituting words with shorter synonyms from a constrained list.

Provides expert guidance for optimizing slow SQL queries, improving database performance through query plan analysis and benchmarking strategies.

Guides Bayesian Network tasks including structure learning, parameter fitting, causal interventions, and sampling using pgmpy or similar libraries.

Processes CSV data for sensor/simulation results, including time-series analysis and missing value handling with pandas.

Guides implementation of gRPC-based key-value store services in Python, covering protobuf definitions, CRUD operations, and service troubleshooting.

Guides building and resolving compatibility issues in Cython extensions, particularly for modern numpy versions (2.0+).

Provides technical guidance for DNA assembly methods including Golden Gate, Gibson, and restriction enzyme cloning, with focus on primer design and fragment assembly strategies.

Guides compilation of SQLite with gcov for code coverage instrumentation, including build flags and troubleshooting.

Extracts weight matrices from black-box two-layer ReLU neural networks using input-output queries for model extraction and reverse engineering.

Guides conversion of legacy COBOL applications to modern languages (Python, Java) while preserving exact behavior and data format compatibility.

Provides best practices and workflows for analyzing exoplanet light curve data, including detection methods and troubleshooting.

Guides migration of legacy Python 2 scientific computing code to Python 3 with modern libraries for data processing and analysis.

Automates Python project packaging setup, ensuring correct pyproject.toml, build configuration, and distribution metadata per best practices.

Fits first-order dynamic models to step response data, extracting gain (K) and time constant (tau) parameters for system analysis.

Configures Nginx for reverse proxy, load balancing, SSL/TLS, caching, and API gateway deployment.

Simulates vehicle motion dynamics, calculates safe following distances and time-to-collision, and implements cruise control state machines for automotive systems.

Enables professional document creation, editing, and analysis with full .docx format support including tracked changes and comments preservation.

Creates structured markdown files (task_plan.md, findings.md, progress.md) for organizing complex multi-step tasks and research projects, enhancing planning efficiency.

Downloads real-time or historical streamflow data from USGS using the dataretrieval package for hydrological analysis.

Processes Three.js scene graphs for 3D asset export, including mesh baking, InstancedMesh expansion, and per-link OBJ/URDF output.

Performs dimensionality reduction on multivariate data using Principal Component Analysis with varimax rotation to identify underlying factors and reduce variable collinearity.

Streamlines Python dependency management, virtual environment setup, and project workflows using the fast uv package manager.