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Found 151 Skills
Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model". Trigger with relevant phrases based on skill purpose.
Run and interact with KarpathyTalk, an open markdown-based developer social network with GitHub auth, SQLite, and an LLM-friendly JSON/markdown API.
Guide counterparty credit risk measurement and management for OTC and securities trading. Use when measuring current or potential future exposure to a counterparty, setting or reviewing counterparty credit limits, evaluating ISDA Master Agreement netting benefits, designing collateral management or CSA terms, assessing central clearing mandates under Dodd-Frank or EMIR, monitoring counterparty creditworthiness via CDS spreads or ratings, managing Herstatt or settlement risk in FX, quantifying wrong-way risk, or building real-time exposure dashboards. Also use for counterparty default scenarios, credit deterioration events, EAD and SA-CCR calculations, and CVA capital charges.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Research tool for visually exploring BLS Occupational Outlook Handbook data with an interactive treemap, LLM-powered scoring pipeline, and data scraping/parsing utilities.
Use when normal web_fetch cannot read a page, when a site blocks basic fetching, or when the user needs YouTube content in AI-ready form. Guides fallback use of Firecrawl for single-page web scraping and SerpApi for YouTube search/video metadata/transcripts only.
Automates the Karpathy LLM Wiki workflow: turns web, GitHub, and YouTube URLs into well-structured, citable, wikilinked pages with automatic linting and sourcing — invoke with /pin-llm-wiki
YES24 / 인터파크 공연의 공개 일정 + 등급별 잔여석을 단일 HTTP 호출로 조회 (조회 전용, 예매·결제 없음).
Guidance for training FastText text classification models with constraints on model size and accuracy. This skill should be used when training FastText models, optimizing hyperparameters, or balancing trade-offs between model size and classification accuracy.
Эксперт AutoML. Используй для automated machine learning, hyperparameter tuning и model selection.
Design experiment plans with progressive stages — initial implementation, baseline tuning, creative research, and ablation studies. Plan baselines, datasets, hyperparameter sweeps, and evaluation metrics. Use when planning experiments for a research paper.
Implements the Syncfusion WPF Color Palette (SfColorPalette) control for color selection interfaces with swatches. Use this when implementing color picker functionality, color swatches, or color binding in WPF applications. Covers setup, color selection, data binding, swatch navigation, appearance customization, and theming.