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niznik-dev AI Skills

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Browse published AI skills maintained by niznik-dev. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

48

Repository forks

0

Average repository stars per indexed skill

8

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

design-experiment

niznik-dev

Plan LLM fine-tuning and evaluation experiments. Use when the user wants to design a new experiment, plan training runs, or create an experiment_summary.yaml file.

GitHub

summarize-experiment

niznik-dev

Create a lightweight summary of experiment results from a completed (fine-tuned and evaluated) experiment. Use after run-experiment to capture key metrics from the experiment in textual form.

GitHub

scaffold-experiment

niznik-dev

Set up complete experimental infrastructure for all runs in a designed experiment. Orchestrates parallel generation of fine-tuning configs (via scaffold-torchtune) and evaluation configs (via scaffold-inspect)....

GitHub

run-experiment

niznik-dev

Execute the complete experimental workflow - model optimization followed by evaluation - for all runs in a scaffolded experiment. Use after scaffold-experiment to submit jobs to SLURM.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.