Coding & Dev Tools

Suggests testing HPA axis functionality before and after starting GH replacement in patients not receiving glucocorticoid replacement with apparently normal pituitary-adrenal function. Triggers include initiating GH replacement in a GHD patient who is not on glucocorticoids and has normal adrenal function.

Recommends confirmatory testing with corticotropin stimulation test in patients presenting with clinical symptoms or signs suggesting PAI (e.g., fatigue, hypotension, hyponatremia, hyperpigmentation) when the patient's condition permits safe testing. Use when a clinician identifies suggestive features and circumstances allow outpatient stimulation testing without imminent need for emergency glucocorticoids.

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.

This skill recommends obtaining a baseline BMD measurement by DXA in adolescents or women with functional hypothalamic amenorrhea (FHA) and concurrent polycystic ovary syndrome (PCOS) who have six or more months of amenorrhea, and earlier if there is history or suspicion of severe nutritional deficiency, other energy deficit states, or skeletal fragility. Use when a clinician states, “She has PCOS and no periods for seven months—let’s get a DXA,” or similar triggers such as “Check BMD in PCOS+FHA after six months amenorrhea” or “Order DXA sooner due to low weight.”

Suggests oral contraceptives over injectable contraceptives for women with BMI ≥27 kg/m2 with comorbidities or BMI ≥30 kg/m2 seeking contraception, provided they are well‑informed and oral contraceptives are not contraindicated. Triggers include clinician questions such as “Which contraceptive method is less likely to cause weight gain in this obese patient?” or “Should I recommend oral pills instead of depot injection for this patient with BMI 29 and hypertension?”.

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.

Recommends against performing dynamic GnRH stimulation testing in the evaluation of hypogonadism, as it provides no additional diagnostic information beyond baseline gonadotropins and sex steroids. Consider this recommendation when evaluating hypogonadism and contemplating GnRH testing.

Decide whether a newly-diagnosed multiple myeloma (NDMM) patient is eligible for high-dose melphalan + autologous stem cell transplantation (ASCT) as part of front-line therapy, using the EHA-ESMO 2021 criteria. Trigger when a clinician asks "is this myeloma patient fit for transplant", "ASCT eligibility for myeloma", "transplant-eligible NDMM", "should I refer for stem cell transplant", "high-dose melphalan candidate", or any decision about whether a newly-diagnosed myeloma patient should go to upfront ASCT.

BPPV Differential Diagnosis Checker

Dizziness Red Flag Screener

Determines age- and body weight-appropriate glucocorticoid dosage for pediatric patients with primary aldosteronism, particularly glucocorticoid-remediable aldosteronism (GRA), to avoid over-treatment. Use when prescribing glucocorticoids to children with confirmed or suspected PA; triggers include pediatric PA, GRA, or need to dose glucocorticoid based on age and weight.

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.

Recommends ACTH stimulation during AVS to improve success rate of bilateral selective catheterization, acknowledging unclear impact on diagnostic accuracy for laterality. Triggers include when setting up AVS and asking 'Should I administer ACTH?' or considering procedural optimization.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum hardware (Google, IonQ, AQT, Pasqal), circuit optimization and compilation, noise modeling and characterization, or quantum experiments and benchmarking (VQE, QAOA, QPE, randomized benchmarking).

Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

Create commit messages following Sentry conventions. Use when committing code changes, writing commit messages, or formatting git history. Follows conventional commits with Sentry-specific issue references.

Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.

Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.

Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support

Capture frames or clips from RTSP/ONVIF cameras.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).

Control Philips Hue lights/scenes via the OpenHue CLI.

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")