GitHub
design-experiment
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.
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niznik-dev AI Skills
GitHub ↗浏览 niznik-dev 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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已收录技能
6收录技能的仓库 Stars 合计
48仓库 Forks
0平均每个技能的仓库 Stars
8同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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近期收录动态
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GitHub
create-meeting-agenda
Create weekly software meeting agenda in the wiki repo.
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GitHub
summarize-experiment
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.
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GitHub
scaffold-experiment
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)....
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GitHub
run-experiment
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.
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GitHub
create-inspect-task
Create custom inspect-ai evaluation tasks through interacted, guided workflow.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。