ai-mlOfficial
Official Provider SkillView repo
Configure the Vision Language Model (VLM) used for analyzing experiment plots. Use when the user asks to change the VLM provider or model, adjust temperature or max_tokens, enable or disable thinking mode, or troubleshoot VLM-related behavior in config.yaml.
Files1 files
SKILL.md45 lines
Loading editor…
Install
RecommendedOne command — your agent picks it up automatically.
Select an AI agent above to see the install command.
or
Manual Install
More stepsDownload the file and paste it into your agent's system prompt.
Skill details
Versionv1.0.0
AuthorNVIDIA
Categoryai-ml
Skill IDNVIDIA/Quantum-Calibration-Agent-Blueprint/data/knowledge/skills/vlm-configuration
Related skills
Analysis ScriptsWrite and run Python scripts to analyze quantum experiment data stored in HDF5 files. Use when the user asks to analyze experiment results, fit peaks or curves, extract features from measurement arrays, or when reusable analysis logic should be saved alongside an experiment for future reuse.Experiment ExecutionReference guide for running individual quantum calibration experiments and interpreting their results. Use when the user asks to run a single experiment (e.g. resonator spectroscopy, qubit spectroscopy, T1, T2), inspect experiment plots with the VLM, or query experiment history and schemas via the lab tool.Workflow ExecutionExecute a previously planned calibration workflow node by node, tracking progress and handling failures. Use when the user asks to run, resume, or continue an existing workflow, or to execute a sequence of calibration steps that has already been defined in data/workflows/.Workflow PlanningPlan a new calibration workflow by discussing experiment sequences, success/failure criteria, and extracted parameters with the user before any files are created. Use when the user asks to plan, design, or create a new calibration sequence, or to build a multi-step workflow for a qubit or device. Requires explicit user confirmation before writing workflow files.Writing Experiment ScriptsAuthor new experiment scripts that are compatible with the lab system's auto-discovery. Use when the user asks to create a new experiment type, add a custom measurement, or write a Python script that should be discoverable via the `lab` and `run_experiment` tools. Covers required function signatures, type hints, docstrings, and return formats.Nemoclaw Maintainer Cross Issue SweepScans other open issues to find ones a given PR may also fix or accidentally break. Outputs adjacent-fix opportunities and contradiction risks with file:line evidence. Use when reviewing a PR to discover bundling opportunities or downstream impact across the issue queue.