Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: decision-tree

Direktori bahasa Inggris

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

14K
Stars
80/100
Kepercayaan
Kategori: agent-frameworksAudit

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

27K
Stars
75/100
Kepercayaan
Kategori: financeAudit

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

13K
Stars
87/100
Kepercayaan
Kategori: design-creativeAudit

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

18K
Stars
87/100
Kepercayaan
Kategori: ml-automationAudit

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

34K
Stars
75/100
Kepercayaan
Kategori: FinanceAudit

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

9.0K
Stars
86/100
Kepercayaan
Kategori: ml-automationAudit

Turn any technical book PDF into a Claude Code skill โ€” ready to study, reference, and use while you work.

1.0K
Stars
85/100
Kepercayaan
Kategori: utilityAudit

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

4.7K
Stars
76/100
Kepercayaan
Kategori: ml-automationAudit

Superfast AI decision making and intelligent processing of multi-modal data.

3.6K
Stars
76/100
Kepercayaan
Kategori: robotics-iotAudit
Sem84

Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 26 languages via tree-sitter. Built for coding agents.

3.2K
Stars
84/100
Kepercayaan
Kategori: agent-frameworksAudit

A curated collection of 13 tested Claude Code agent skills for producing decks, research briefs, PRDs, articles, audits, and other finished work.

626
Stars
83/100
Kepercayaan
Kategori: presentationAudit

Crabbox: warm a box, sync the diff, run the suite.

1.3K
Stars
81/100
Kepercayaan
Kategori: utilityAudit