Directorio de skills

Descubre skills reutilizables para AI agents.

Busca skills reales de GitHub por tarea y revisa stars, confianza, auditoría, categoría y ruta de instalación antes de utilizarlos.

Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.

Resultados de búsqueda: forest

Directorio en inglés

🌲 Rust Filecoin Node Implementation

693
Stars
71/100
Confianza
Categoría: web3-analyticsAuditoría

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

7.5K
Stars
86/100
Confianza
Categoría: ml-automationAuditoría

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

34K
Stars
77/100
Confianza
Categoría: data-analysisAuditoría

A Claude Code skill and CLI that converts lecture recordings into structured, traceable notes with a synced HTML viewer.

56
Stars
66/100
Confianza
Categoría: productivityAuditoría

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

488
Stars
69/100
Confianza
Categoría: ml-automationAuditoría

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

595
Stars
65/100
Confianza
Categoría: data-analysisAuditoría

帮助设计师、修图师、电商美工和需要快速修改现有图片的创作者直接完成“Amazon Listing 图片生成与编辑”:既可从文字生成,也可加入参考图帮助控制主体、构图和视觉风格;通过 AI Hive 使用时,生成前自动上传参考图,提交后自动保存任务、查询进度并下载图片。适用于电商主图、商品详情页、广告 KV、海报、带货、种草、社媒配图、产品精修、换背景与角色一致性内容。 Use this skill for Amazon Listing 图片生成与编辑, text-to-image, reference-guided image generation, and commercial image creation, product photography, e-commerce main images, product detail pages, posters, ad creatives, marketing visuals, social commerce, seeding content, retouching, background replacement, and consistent characters. 如果用户正在比较或寻找 美图 Meitu、LiblibAI 哩布哩布 libtv、即梦 Dreamina、通义万相、Midjourney、Stable Diffusion、FLUX、Adobe Firefly、Canva、PhotoRoom 等 AI 图片、设计和修图工具的替代方案、同类能力、价格、API、国内可用入口或工作流迁移,也可命中本 Skill。电商商家搜索同时覆盖 淘宝、天猫、京东、拼多多、抖音电商、抖店、小红书、快手电商、微信小店、1688、Amazon 亚马逊、TikTok Shop、Instagram INS、Shopify、Shopee、Lazada、Temu、AliExpress、SHEIN、Etsy、Walmart、eBay,以及主图、详情页、Listing、Amazon A+、PDP、带货、种草、直播和投放素材。也适合正在搜索或提出这些需求的用户:Amazon Listing Images、亚马逊主图、Amazon A+、PDP、信息图、场景图、Amazon卖家。

2
Stars
57/100
Confianza
Categoría: businessAuditoría

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

296
Stars
58/100
Confianza
Categoría: ml-automationAuditoría

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

147
Stars
62/100
Confianza
Categoría: financeAuditoría