Agent Skills by cwinkelmann
Showing 12 vetted skills indexed across 1 GitHub repositories.
active-learning-wildlife
Operationalize active learning workflows for wildlife detection with HILDA.
testing-data
Validate HILDA test data completeness and JSON integrity for pipeline testing.
megadetector
Generate Python code for MegaDetector single-image, batch, and folder inferences.
python-best-practices
Standardizes modern Python 3.10+ patterns including typing, error handling, async code, imports, and docstrings for projects and reviews.
local-vision-trainer
Train and fine-tune computer vision models locally on CUDA GPUs.
run_testing
Automate HILDA test suite execution with pytest and environment checks.
sahi-inference
Run tiled SAHI inference on large drone orthomosaic images.
deep-research
Orchestrates a 13-agent team workflow for academic research and APA 7.0 outputs.
iguana-case-study
Generate lectures, practicals, exercises, and exams from Winkelmann (2025) thesis findings.
practical-cv-wildlife
Orchestrate a six-agent workflow mapping PCV gaps to aerial wildlife detection curriculum.
wildlife-classification
Orchestrate a 7-agent pipeline for wildlife classification model comparison.
geospatial-patterns
Standardize CRS handling and coordinate transformations for geospatial data workflows.