Agent Skill

Digital Health Clinical Asr Finetune skill

digital-health-clinical-asr-finetuneNVIDIA/skillsskills/digital-health-clinical-asr-finetune/SKILL.md

Stage 4 of the Clinical ASR Flywheel. Use when priority KER is above 0.3 to run stock NeMo SFT on Parakeet TDT v2 and offline cycle N+1 re-eval. NOT for generic word boosting (use /finetune-asr).

3.7kApache-2.0

always on

72 tokname + description

once used

5,118 tokSKILL.md body

bundled files

627 KB

repo stars

3.7kGitHub

Install the Digital Health Clinical Asr Finetune skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/NVIDIA/skills --skill digital-health-clinical-asr-finetune

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/skills/digital-health-clinical-asr-finetune ~/.claude/skills/digital-health-clinical-asr-finetune

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

When	What loads	Cost
Every session	Name and description	72 tok
When the agent uses it	The SKILL.md instructions	5,118 tok
Only if opened	6 bundled files (27 KB)	varies

Until it is used, digital-health-clinical-asr-finetune costs about 19× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from NVIDIA/skills would load 20,796 tokens of descriptions. Skills vs MCP study

Checks

The instructions are over 5,000 tokens, the Agent Skills specification's guideline for SKILL.md.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

Clinical ASR Flywheel — Stage 4 (Fine-tune)
Critical workflow rules (apply on every activation)
Purpose
When to use this skill
Prerequisites
Instructions
4a. Provision a GPU host (skip if you already have one)
4b. Term-aware train/val split
4c. Choose the base model
4d. Stock NeMo SFT
4e. Offline cycle N+1 eval — close the loop
4f. (Optional) Deploy as a Riva NIM
Examples
Artifacts produced
Troubleshooting
Limitations
Next steps
References

More skills from NVIDIA/skills

All skills in this repo

accelerated-computing-cudfNVIDIA/skills
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
3.7k2356 tok idle · 2,307 in use
ambient-healthcare-agent-with-nemotron-voice-agentNVIDIA/skills
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
3.7k1744 tok idle · 2,849 in use
amc-run-rtsp-calibrationNVIDIA/skills
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
3.7k159 tok idle · 4,607 in use
amc-run-sample-calibrationNVIDIA/skills
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
3.7k164 tok idle · 3,627 in use
amc-run-video-calibrationNVIDIA/skills
Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
3.7k157 tok idle · 4,576 in use
amc-setup-calibration-stackNVIDIA/skills
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
3.7k67 tok idle · 4,277 in use
boltz2-nimNVIDIA/skills
Use Boltz2 NIM for biomolecular structure prediction and binding affinity. Invoke for Boltz2, protein structures, protein-ligand/DNA/RNA complexes, SMILES or CCD ligands, pIC50/IC50 affinity scoring, mmCIF output, hosted NVIDIA API calls, or local Docker deployment.
3.7k71 tok idle · 1,433 in use
cdf-anomalygenNVIDIA/skills
Use when running the CDF AnomalyGen pipeline over a defect dataset — mask placement, fine-tuning, synthetic defect-image generation (SDG), evaluation, quality refinement, and pseudo-labeling — even when the user names only one stage.
3.7k54 tok idle · 9,563 in use