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Found 1,915 Skills
Perform statistical hypothesis testing, regression analysis, ANOVA, and t-tests with plain-English interpretations and visualizations.
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
식약처 공공 OpenAPI를 k-skill-proxy 경유로 조회하기 전에 증상·복용상황을 반드시 되묻는 인터뷰형 의약품 안전 체크 스킬.
Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.
Запуск тестов проекта: unit, integration. Определение типа проекта и выбор стратегии.
Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.
Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.
Investing.com via HTML scrape: cotizaciones, historico OHLCV, fundamentals (income/balance/cashflow/ratios), dividendos, earnings, perfil de empresa. 81K+ equities, 344 commodities, 10K indices, 2.4K currencies, 10K ETFs, 4.1K cryptos. Cobertura global.
Search and retrieve content from Product Hunt. Get posts, topics, users, and collections via the GraphQL API.
Universal Strava API integration for fitness data management. Use when working with Strava activities, athlete profiles, segments, routes, clubs, or any fitness tracking data. Triggers on requests to get/create/update activities, analyze training stats, export routes, explore segments, or interact with Strava data programmatically.
Pydantic models and validation. Use when: (1) Defining schemas, (2) Validating input/output, (3) Generating JSON schema.
This skill should be used after creating or modifying skills to update the main README.md file. It scans all skills in ~/.claude/skills/, extracts metadata from SKILL.md files, and regenerates the README with categorized skill listings. Triggers on requests mentioning "update skills readme", "refresh skills list", or after adding new skills.