Results for “therapy”

Titrates GH replacement dose to keep IGF-1 below the upper limit of normal and reduces dose when side effects appear. Use when monitoring GH replacement therapy; triggers include patient on GH replacement needing dose adjustment.

Determines levothyroxine dosing for central hypothyroidism to achieve serum free T4 in the mid to upper half of the reference range. Triggers include confirmed central hypothyroidism requiring thyroid hormone replacement when initiating L‑4 therapy.

This skill recommends monitoring desmopressin (DDAVP) doses and adjusting them as needed in patients who have recently started antiepileptic drugs (AEDs). It is triggered when a patient initiates AED therapy and requires DDAVP management for diabetes insipidus.

Monitors euthyroid adults with growth hormone deficiency (GHD) who are initiating GH replacement therapy for the development of central hypothyroidism (CH). Initiates levothyroxine (L-T4) if free thyroxine (fT4) falls below the laboratory reference range; triggers include GHD patient starting GH replacement.

Determines whether to add a mineralocorticoid receptor antagonist (e.g., spironolactone or eplerenone) to glucocorticoid therapy in glucocorticoid-remediable aldosteronism when blood pressure fails to normalize with glucocorticoid alone. Triggered by persistent hypertension or inadequate BP control despite optimized glucocorticoid dosing in GRA patients.

Guides choice among spironolactone, eplerenone, and esaxerenone for primary aldosteronism based on comparative efficacy, safety, and patient-specific factors. Triggers include when initiating MRA therapy and asking 'Which MRA should I prescribe?' or considering switching agents due to adverse effects, cost, or need for potassium supplementation.

Determines whether to recommend unilateral laparoscopic adrenalectomy or medical therapy with a mineralocorticoid receptor antagonist for patients with confirmed unilateral PA (aldosterone-producing adenoma or unilateral adrenal hyperplasia). Triggered when discussing treatment options after confirming unilateral PA in a hypertensive patient with hypokalemia or resistant hypertension.

Identifies patients with normokalemia and no adrenal tumors on CT who likely have bilateral PA and may proceed directly to medical therapy without AVS. Triggers include when a clinician notes normokalemia and clean adrenal CT and asks 'Is AVS necessary if I suspect bilateral disease?'

Initiates a 6‑month trial of DHEA replacement in women with primary adrenal insufficiency (PAI) who have persistent low libido, depressive symptoms, or low energy despite otherwise optimized glucocorticoid and mineralocorticoid therapy. If the patient does not report a sustained beneficial effect after 6 months, discontinue DHEA.

Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning) with support for SFT, DPO, GRPO, KTO, RLOO, and reward model training via CLI commands.

Train or fine-tune language and vision models using TRL or Unsloth on Hugging Face Jobs cloud infrastructure, with support for SFT, DPO, GRPO, and reward modeling, plus GGUF conversion for local deployment.

Fine-tune and align language models using reinforcement learning with TRL, including SFT, DPO, PPO, GRPO, and reward model training.

Perform digital rectal examination (DRE) in all men before initiating testosterone therapy to exclude prostate abnormalities or support suspicion of hypogonadism when prostate volume is reduced. Triggered when a clinician considers starting testosterone and questions whether a prostate exam is needed first or whether to check the prostate before prescribing TTh.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

Econometrics skill for Difference-in-Differences (DID) analysis. Activates when the user asks about: "difference in differences", "DID", "DiD", "diff-in-diff", "parallel trends", "treatment group", "control group", "pre-treatment", "post-treatment", "policy evaluation", "natural experiment", "staggered DID", "event study regression", "two-way fixed effects DID", "callaway santanna", "sun and abraham", "双重差分", "倍差法", "平行趋势", "处理组", "对照组", "政策评估", "事件研究", "交错DID", "渐进处理"

Analyzing session replays, extracting persona-based behavioral patterns, and storytelling UX issues. Reads the 'why' from real user operation logs. Works with Field/Echo for persona validation.

郭靖（武侠虚构）认知与表达框架（压缩蒸馏）：钝感大智、朴素正义、师徒传承… 触发：射雕英雄传 等。虚构

Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

Create care plans with assessments and interventions. TRIGGERS - Use when user needs help with care-plan related tasks.

Create patient intake forms with history and screening. TRIGGERS - Use when user needs help with intake-form related tasks.

Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training

Loads expert mental models on-demand to enhance reasoning, with a library of modules and commands to manage them.

Run PyTorch training across GPUs with minimal changes.

Determines whether to recommend adrenalectomy or mineralocorticoid receptor antagonists for primary aldosteronism based on PA subtype and patient/surgical factors. Triggered after subtype confirmation when clinicians ask “Should this patient have surgery or medical treatment?” or discuss treatment options with the patient.

Generate concise (3-4 page) medical treatment plans in LaTeX/PDF format across all clinical specialties, with SMART goals, evidence-based interventions, and HIPAA compliance.

Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.

Prepare and execute negotiations using tactical empathy, calibrated questions, and the Ackerman method.

Econometrics skill for Difference-in-Differences (DID) analysis. Activates when the user asks about: "difference in differences", "DID", "DiD", "diff-in-diff", "parallel trends", "treatment group", "control group", "pre-treatment", "post-treatment", "policy evaluation", "natural experiment", "staggered DID", "event study regression", "two-way fixed effects DID", "callaway santanna", "sun and abraham", "双重差分", "倍差法", "平行趋势", "处理组", "对照组", "政策评估", "事件研究", "交错DID", "渐进处理"

舒淇（演员）认知与表达框架（压缩蒸馏）：性感与文艺并置、自嘲大嘴、慢热真诚 触发：文艺片、松弛感 等。非替本人编造