“Model inference”

Use python-doctr (docTR) for OCR/KIE inference, document IO/export, model customization, datasets/training/evaluation, CLI helpers, deployment, and…

Set the model or effort a Stratum agent uses in this project, saved in .stratum/models.json.

Route DoWhy causal inference, graphical causal model, and graph/data workflows to the right sub-skill and bundled references.

Fetch weather/climate data via Earth2Studio data sources for specific variables and times.

Add causal reasoning to agent actions.

Use when working directly with the `esm` Python SDK, ESM3 or ESMC model IDs, Forge/Biohub inference clients, or ESMFold2 folding workflows.

**[REQUIRED]** For **ALL** data science and machine learning tasks.

Detect and resolve incoherence across documentation, code and specs.

Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs.

Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss.

Use AlphaFold 3 PyTorch for protein and biomolecular structure-prediction workflows, heterogeneous molecule inputs, PDB/mmCIF/MSA/template preparation…

Show or set the models max-speed workers run on.

Model and inspect a software product spanning multiple repositories using explicit members and contract relationships, without inferring architecture from…

Use synthetic data and back-translation with quality filters and held-out protection.

Opinionated Bayesian modeling workflow with PyMC and ArviZ.

Benchmark and A/B-test multiple LLMs or systems-under-test on one evaluation dataset.

Detect and resolve incoherence in documentation, code, specs vs implementation.

Run Gemini batch inference on Google Cloud Vertex AI.

Running AI models locally with Ollama and llama.cpp.

Bayesian modeling with PyMC.

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.

Use when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features"…

This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement…

Route GeoAI geospatial data, inference, training, foundation-model, and integration workflows.