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mkurman

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1. ▌
   Code Optimizer · mkurman bundle

   Deep code optimization audit using parallel specialist agents. Each agent hunts for performance anti-patterns, inefficiencies, and suboptimal code using pattern-based detection (Grep/Glob) WITHOUT reading the full source code first — avoiding anchoring bias on existing implementations. Covers ALL optimization domains: database queries, memory leaks, algorithmic complexity, concurrency, bundle size, dead code, I/O & network, rendering/UI, data structures, error handling, caching, build config, security-performance, logging, and infrastructure. Use when asked to: "optimize my code", "find performance issues", "audit code quality", "speed up my app", "find bottlenecks", "code review for performance", "find anti-patterns", "improve code efficiency", "reduce latency", "optimize performance", "code smell detection", "find slow code", "optimize this project", "performance audit", "code optimization". Also triggers on: "optimizar codigo", "encontrar cuellos de botella", "mejorar rendimiento".
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2. ▌
   Pymol · mkurman bundle

   Visualize, analyze, and render protein and molecular structures using PyMOL. Use when the user wants to create images of protein structures, perform structural alignments or superposition, measure distances or contacts, highlight binding sites or active site residues, color by B-factor/pLDDT, or analyze protein-ligand interactions. Do not use for docking, molecular dynamics, or sequence-only analysis.
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3. ▌
   Angelslim · mkurman

   Tencent AngelSlim — accessible, comprehensive, and efficient toolkit for large model compression. Quantization (FP8/INT4/NVFP4/1.25-bit), pruning, speculative decoding (Eagle3), and diffusion model compression.
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4. ▌
   Biopython · mkurman bundle

   Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
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5. ▌
   Deeptools · mkurman bundle

   NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
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6. ▌
   Diffusers · mkurman

   HuggingFace Diffusers library for diffusion models: text-to-image, image-to-image, inpainting, super-resolution. Supports Stable Diffusion, Flux, SDXL, and custom pipelines.
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7. ▌
   Freqtrade · mkurman

   Open-source crypto trading bot. Strategy development in Python, backtesting, hyperparameter optimization, dry-run and live trading. Supports major exchanges via CCXT. Telegram integration for monitoring.
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8. ▌
   Geomaster · mkurman bundle

   Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
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9. ▌
   Gymnasium · mkurman

   Standard API for single-agent reinforcement learning environments (Gymnasium). Provides Classic Control, Box2D, Toy Text, MuJoCo, and Atari environments with a unified env.step()/env.reset() interface. For multi-agent RL, use PettingZoo. For algorithm implementations, use stable-baselines3 or CleanRL.
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10. ▌
    Hydra Zen · mkurman

    Pythonic config generation for Hydra (hydra-zen). Eliminates hand-written YAML by generating structured dataclass configs directly from Python objects and functions. Provides make_config, builds, zen, store, and launch utilities for configurable, reproducible, and scalable workflows. Use for typed experiment configuration, Hydra boilerplate reduction, and Python-first ML workflow design.
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11. ▌
    Hypogenic · mkurman bundle

    Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
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12. ▌
    Iec 62304 · mkurman

    IEC 62304 medical device software lifecycle framework. Risk classification, software safety classification (A/B/C), design control, verification, validation, and regulatory documentation for FDA/EU MDR submissions.
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13. ▌
    Langgraph · mkurman

    LangGraph — orchestrate LLM agents as stateful graphs. Multi-agent coordination, persistent state, human-in-the-loop, streaming, checkpointing, and conditional control flow. Build complex agent workflows.
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14. ▌
    Lifelines · mkurman

    Survival analysis in Python: Kaplan-Meier, Cox proportional hazard, Aalen additive, parametric models, and competing risks. Censored data handling for churn, clinical, and actuarial applications.
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15. ▌
    Lighteval · mkurman

    All-in-one LLM evaluation toolkit (HuggingFace LightEval). 1000+ tasks with multi-backend support: Accelerate, vLLM, SGLang, Nanotron, TGI, LiteLLM, inference providers, and custom models. Sample-by-sample result exploration, custom task/metric creation. Used by HuggingFace's Leaderboard and Evals team. For pure GPT-style model eval, also consider lm-evaluation-harness.
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16. ▌
    Llama Cpp · mkurman

    LLM inference in C/C++ with Python bindings. GPU acceleration via CUDA/Metal/Vulkan, 2-8 bit quantization (GGUF), KV cache, and grammar-based sampling. Run Llama, Mistral, Gemma, Phi locally.
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17. ▌
    Metaworld · mkurman

    Robotics multi-task and meta-reinforcement learning benchmark (Meta-World). Standardized continuous-control benchmark built on Gymnasium with MT1, MT10, MT50 multi-task suites and ML1, ML10, ML45 meta-learning suites. Supports synchronous and asynchronous vector execution. Use for robotic manipulation benchmarking, multi-task RL, meta-RL adaptation, and evaluating generalization across tasks and goals.
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18. ▌
    Neurokit2 · mkurman bundle

    Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
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19. ▌
    Open Clip · mkurman

    OpenCLIP — open-source implementation of CLIP trained on LAION-5B/OpenCLIP datasets. Multi-head attention pooling, SigLIP loss variants, and wide model zoo (ViT, ConvNeXt, EVA). Community-driven.
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20. ▌
    Pufferlib · mkurman bundle

    High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
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21. ▌
    Simpleitk · mkurman

    Simplified interface to the Insight Toolkit (ITK) for medical image processing. Segmentation, registration, filtering, resampling, morphological operations. Supports DICOM, NIfTI, NRRD, dozens of formats.
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22. ▌
    Textarena · mkurman

    Text-based game suite for LLM training and evaluation (TextArena). 100+ single-player, two-player, and multi-player text games with an OpenAI Gym-style interface. Designed for benchmarking, self-play, multi-agent RL, and reasoning-focused LLM evaluation. Use for text-game environments, self-play RL, strategic reasoning evaluation, and agent-vs-agent tournaments.
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23. ▌
    Tiledbvcf · mkurman

    Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics.
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24. ▌
    Torchdrug · mkurman bundle

    PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
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25. ▌
    Benchmark Contamination Scan · mkurman

    Scan training data for benchmark contamination — n-gram overlap, embedding similarity, and exact canary detection against 60+ evaluation datasets.
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26. ▌
    Core Web Vitals · mkurman bundle

    Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts".
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27. ▌
    Create Workflow · mkurman bundle

    Conversational guide for creating valid YAML workflow definitions. Use when asked to "create a workflow", "new workflow definition", "build a workflow", "workflow YAML", "define workflow steps", or "workflow from template".
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28. ▌
    Frontend Design · mkurman

    Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
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29. ▌
    Backtrader · mkurman

    Python backtesting framework for trading strategies. Data feeds, brokers, analyzers, and live trading support. Strategy development with commission models, slippage, and signal-based execution.
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30. ▌
    Distilqwen · mkurman

    DistilQwen2.5 — Alibaba's industrial practices for training distilled open lightweight language models. Knowledge distillation from Qwen2.5 72B into smaller 0.5B-7B models.
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31. ▌
    Etetoolkit · mkurman bundle

    Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.
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32. ▌
    Google Adk · mkurman

    Google Agent Development Kit (ADK). Code-first Python toolkit for building, evaluating, and deploying AI agents. Multi-agent orchestration, tool integration, built-in evaluation, and deployment to Vertex AI.
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33. ▌
    Markitdown · mkurman bundle

    Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
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34. ▌
    Omop Ohdsi · mkurman

    OHDSI (Observational Health Data Sciences and Informatics) OMOP Common Data Model. Tools for converting EHR data to OMOP CDM, running cohort analyses, and population-level estimation. Standard for observational research.
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35. ▌
    Pettingzoo · mkurman

    Multi-agent reinforcement learning environment API (PettingZoo). Standard API for multi-agent RL extending Gymnasium with Agent Environment Cycle (AEC) and Parallel APIs. Includes Atari, Butterfly, Classic, MPE, and SISL environments. For single-agent RL, use Gymnasium. For algorithm implementations, use stable-baselines3 or CleanRL.
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36. ▌
    Polars Bio · mkurman bundle

    High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for BED/VCF/BAM/GFF intervals. Streaming, cloud-native, faster bioframe alternative.
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37. ▌
    Pylabrobot · mkurman bundle

    Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.
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38. ▌
    Scikit Bio · mkurman bundle

    Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
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39. ▌
    Scvi Tools · mkurman bundle

    Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
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40. ▌
    Synthlabs Curation · mkurman

    Use when SynthLabs dataset curation should run as repeatable background HTTP jobs instead of manual UI work.
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41. ▌
    Watch Monitor · mkurman

    Canonical watch/monitor pack for meaningful change detection across web sources, connectors, repo activity, or triggers, with false-positive suppression and alert summaries.
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42. ▌
    Github Workflows · mkurman

    Work with GitHub Actions CI/CD workflows - read live syntax, monitor runs, and debug failures. Use when writing, running, or debugging GitHub Actions workflows.
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43. ▌
    Bioservices · mkurman bundle

    Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
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44. ▌
    Chainladder · mkurman

    Property & casualty insurance loss reserving in Python. Chain ladder, Bornhuetter-Ferguson, Cape Cod, bootstrap simulation, and loss development pattern estimation. Actuarial triangle operations.
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45. ▌
    Peer Review · mkurman bundle

    Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.
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46. ▌
    Speechbrain · mkurman

    SpeechBrain — PyTorch speech toolkit. ASR, speaker recognition, speech separation, diarization, enhancement, language identification, and TTS. Recipe-based training with pre-trained model zoo.
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47. ▌
    Statsmodels · mkurman bundle

    Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
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48. ▌
    Zarr Python · mkurman bundle

    Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
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49. ▌
    Debug Like Expert · mkurman bundle

    Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.
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50. ▌
    Web Quality Audit · mkurman bundle

    Comprehensive web quality audit covering performance, accessibility, SEO, and best practices. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website".
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51. ▌
    Migrate To Shoehorn · mkurman

    Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
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52. ▌
    Ubiquitous Language · mkurman

    Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
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53. ▌
    Epidemiology · mkurman

    Disease modeling and epidemiological analysis: SIR/SEIR compartmental models, R0 estimation, outbreak simulation, incidence/prevalence forecasting, and intervention impact modeling.
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54. ▌
    Infographics · mkurman bundle

    Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
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55. ▌
    Merger Model · mkurman

    M&A deal modeling: accretion/dilution analysis, LBO models, DCF valuation, comparable company analysis, precedent transactions, and synergy estimation. Full three-statement merger models.
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56. ▌
    Onnx Runtime · mkurman

    ONNX Runtime — cross-platform ML inference optimizer. Convert PyTorch, TensorFlow, scikit-learn models to ONNX. GPU, CPU, and mobile acceleration. Quantization, graph optimization, and custom ops.
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57. ▌
    Openai Evals · mkurman

    LLM evaluation framework and registry (OpenAI Evals). Framework for evaluating LLMs and LLM-based systems with a registry of community-contributed eval templates. Supports model-graded evals, classification, simple completion matching, and custom completion functions. Use for systematic LLM quality testing, regression detection, and prompt engineering validation.
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58. ▌
    Paper Lookup · mkurman bundle

    Search 10 academic paper databases via their REST APIs to find research papers, preprints, and scholarly articles. Covers biomedical literature (PubMed, PMC full text), preprint servers (bioRxiv, medRxiv, arXiv), multidisciplinary indexes (OpenAlex, Crossref, Semantic Scholar), open access aggregators (CORE, Unpaywall). Use this skill whenever the user wants to search for research papers, find citations, look up articles by DOI or PMID, retrieve abstracts or full text, check open access availability, find preprints, explore citation graphs, search by author or keyword, or access any scholarly literature database. Also trigger when the user mentions PubMed, PMC, bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall, or asks about paper metadata, citation counts, journal articles, manuscript lookups, literature reviews, or systematic searches. Even if the user just says "find papers on X" or "what's been published about Y" or "look up this DOI", this skill should activate.
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59. ▌
    Parallel Web · mkurman bundle

    Search the web, extract URL content, and run deep research using the Parallel Chat API and Extract API. Use for ALL web searches, research queries, and general information gathering. Provides synthesized summaries with citations.
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60. ▌
    PPTX Posters · mkurman bundle

    Create research posters using HTML/CSS that can be exported to PDF or PPTX. Use this skill ONLY when the user explicitly requests PowerPoint/PPTX poster format. For standard research posters, use latex-posters instead. This skill provides modern web-based poster design with responsive layouts and easy visual integration.
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61. ▌
    Pymc Markets · mkurman

    Bayesian inference for financial markets using PyMC. Stochastic volatility models, regime-switching, Bayesian portfolio optimization, factor models, and Markov chain Monte Carlo for risk estimation.
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62. ▌
    Scikit Learn · mkurman bundle

    Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
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63. ▌
    Transformers · mkurman bundle

    This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
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64. ▌
    Usfiscaldata · mkurman bundle

    Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
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65. ▌
    Synthlabs Generation · mkurman

    Use when you need to drive SynthLabs generation through backend routes instead of the UI.
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66. ▌
    Pr Issue Triage · mkurman

    Canonical PR/Issue triage pack combining repo review queues with work tracker context and approval-gated write-backs.
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67. ▌
    Userinterface Wiki · mkurman bundle

    UI/UX best practices for web interfaces. Use when reviewing animations, CSS, audio, typography, UX patterns, prefetching, or icon implementations. Covers 11 categories from animation principles to typography. Outputs file:line findings.
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68. ▌
    Biostatistics · mkurman

    Medical biostatistics hypothesis testing toolkit: t-tests, ANOVA, chi-square, Fisher exact, Mann-Whitney, Kruskal-Wallis, sample size calculation, power analysis, multiple testing correction, survival analysis, and clinical trial biostatistics.
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69. ▌
    Esg Reporting · mkurman

    ESG (Environmental, Social, Governance) reporting and analytics. SASB, TCFD, GRI, and CDP frameworks. Carbon accounting, supply chain sustainability, diversity metrics, and regulatory disclosure support.
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70. ▌
    Guardrails AI · mkurman

    Guardrails AI — LLM output validation and guardrails. Define guardrails as XML/JSON specs, validate outputs against structural and semantic constraints, correct/retry on failure, and audit model behavior.
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71. ▌
    Latex Posters · mkurman bundle

    Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
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72. ▌
    Model Pruning · mkurman

    Structured and unstructured model pruning: weight pruning, attention head pruning, layer removal, and neural architecture search for efficient LLMs.
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73. ▌
    Open Notebook · mkurman bundle

    Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.
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74. ▌
    Phylogenetics · mkurman bundle

    Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
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75. ▌
    Plaid Finance · mkurman

    Plaid financial data API: bank accounts, transactions, balances, income, assets, identity verification, and ACH payments. Connect to 12,000+ financial institutions for personal finance and lending apps.
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76. ▌
    Riskfolio Lib · mkurman

    Portfolio risk and optimization: mean-variance, risk parity, CVaR, CDaR, worst-case, and robust optimization. Factor models, Black-Litterman, NCO. Supports plotting and interactive dashboards.
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77. ▌
    Synthlabs UI Operator · mkurman

    Use when SynthLabs work must be driven through the visual app for verifier review, data preview, settings changes, DEEP mode, or other browser-led workflows.
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78. ▌
    Request Refactor Plan · mkurman

    Create a detailed refactor plan with tiny commits via user interview, then file it as a GitHub issue. Use when user wants to plan a refactor, create a refactoring RFC, or break a refactor into safe incremental steps.
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79. ▌
    Tavily · mkurman

    Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.
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80. ▌
    Albumentations · mkurman

    Fast image augmentation library (Albumentations). 70+ transforms for classification, segmentation, object detection, keypoints, and pose estimation. Optimized OpenCV-based pipeline with unified API across all CV tasks. Supports images, masks, bounding boxes, and keypoints simultaneously. Note: classic Albumentations (MIT) is no longer maintained; successor AlbumentationsX uses AGPL-3.0. For torchvision-native augmentations, use torchvision.transforms.v2.
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81. ▌
    Aml Compliance · mkurman

    Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance workflow. Sanctions screening, PEP detection, transaction monitoring, suspicious activity reporting (SAR), and OFAC compliance.
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82. ▌
    Dhdna Profiler · mkurman bundle

    Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person reasons", "cognitive profile", "thinking pattern", "DHDNA", "digital DNA", or wants to understand the mind behind any text. Also trigger when the user provides text and wants deeper insight into the author's reasoning patterns, decision-making style, or cognitive signature.
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83. ▌
    Dicom Pipeline · mkurman

    End-to-end DICOM workflow: parsing, anonymization/de-identification, conversion, structured reporting, PACS query/retrieve, and DICOMweb. Build automated medical imaging pipelines.
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84. ▌
    Generate Image · mkurman bundle

    Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.
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85. ▌
    Medical Coding · mkurman

    Medical code mapping and classification tools. ICD-10-CM/PCS, CPT, SNOMED CT, HCPCS, LOINC, RxNorm. Code validation, mapping between terminologies, HCC risk adjustment, and reimbursement modeling.
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86. ▌
    Pyportfolioopt · mkurman

    Portfolio optimization library: mean-variance, Black-Litterman, CVaR optimization, risk parity, Hierarchical Risk Parity (HRP), and CLA. Factor models, shrinkage estimators, and ex-ante risk analysis.
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87. ▌
    What If Oracle · mkurman bundle

    Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like "what if...", "what would happen if...", "what are the possibilities", "explore scenarios", "scenario analysis", "possibility space", "what could go wrong", "best case / worst case", "risk analysis", "contingency planning", "strategic options", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.
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88. ▌
    Rust Programming · mkurman bundle

    Use when writing, reviewing, or refactoring Rust code, especially workspace crates, public APIs, error handling, async code, ownership choices, or performance-sensitive paths.
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89. ▌
    Create Gsd Extension · mkurman bundle

    Create, debug, and iterate on GSD extensions (TypeScript modules that add tools, commands, event hooks, custom UI, and providers to GSD). Use when asked to build an extension, add a tool the LLM can call, register a slash command, hook into GSD events, create custom TUI components, or modify GSD behavior. Triggers on "create extension", "build extension", "add a tool", "register command", "hook into gsd", "custom tool", "gsd plugin", "gsd extension".
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90. ▌
    React Best Practices · mkurman bundle

    React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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91. ▌
    Clinical Trials · mkurman

    ClinicalTrials.gov API client and analysis toolkit. Search, filter, and download trial records. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery.
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92. ▌
    Database Lookup · mkurman bundle

    Search 78 public scientific, biomedical, materials science, and economic databases via their REST APIs and return structured JSON results. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD, Exoplanet Archive), earth/environment (USGS, NOAA, EPA, OpenWeatherMap), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, DailyMed, ZINC, BindingDB), materials science (Materials Project, COD), biology/genomics (Reactome, BRENDA, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, ChEBI, BioGRID, Gene Ontology, QuickGO, NCBI Protein/Taxonomy, dbSNP, SRA, ENA, gnomAD, UCSC Genome, ENCODE, JASPAR, MouseMine, PRIDE, LINCS L1000, Human Protein Atlas, Human Cell Atlas, RummaGEO, Metabolomics Workbench, EMDB, Addgene), disease/clinical (COSMIC, Open Targets, ClinPGx, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog, Monarch, HPO), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, BEA, BLS, Federal Reserve, World Bank, ECB, US Treasury, Alpha Vantage, Data Com
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93. ▌
    Huggingface Tgi · mkurman

    HuggingFace Text Generation Inference (TGI). High-performance LLM serving with continuous batching, tensor parallelism, watermarking, and OpenAI-compatible API. Native HF model hub integration.
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94. ▌
    Quantlib Python · mkurman

    QuantLib Python bindings for quantitative finance. Pricing and risk analytics for fixed income, equity, FX, credit derivatives, and structured products. Yield curves, options, swaps, bonds, and Monte Carlo simulation.
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95. ▌
    Research Grants · mkurman bundle

    Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
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96. ▌
    Research Lookup · mkurman bundle

    Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.
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97. ▌
    Scikit Survival · mkurman bundle

    Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
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98. ▌
    Stripe Payments · mkurman

    Stripe payments integration: charges, subscriptions, invoices, webhooks, Connect platform, and fraud prevention (Radar). Build payment workflows, recurring billing, and marketplace payouts.
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99. ▌
    Torch Geometric · mkurman bundle

    Guide for building Graph Neural Networks with PyTorch Geometric (PyG). Use this skill whenever the user asks about graph neural networks, GNNs, node classification, link prediction, graph classification, message passing networks, heterogeneous graphs, neighbor sampling, or any task involving torch_geometric / PyG. Also trigger when you see imports from torch_geometric, or the user mentions graph convolutions (GCN, GAT, GraphSAGE, GIN), graph data structures, or working with relational/network data. Even if the user just says 'graph learning' or 'geometric deep learning', use this skill.
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100. ▌
     Venue Templates · mkurman bundle

     Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
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