Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: iterative-methods

英語版ディレクトリ

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

19K
Stars
85/100
信頼
カテゴリ: research監査

Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.

5.8K
Stars
74/100
信頼
カテゴリ: development監査

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

3.0K
Stars
85/100
信頼
カテゴリ: ml-automation監査

A Vault swiss-army knife: A CLI tool to init, unseal and configure Vault (auth methods, secret engines).

2.3K
Stars
73/100
信頼
カテゴリ: devops監査

(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.

2.2K
Stars
76/100
信頼
カテゴリ: research監査

A traceable AI agent skill that provides original public views and investment methods of fund manager Zheng Xi with real fund data for research.

1.3K
Stars
76/100
信頼
カテゴリ: data監査

Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.

2.0K
Stars
79/100
信頼
カテゴリ: automation監査

A full-lifecycle Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations with quality scoring and pedagogical audits.

324
Stars
77/100
信頼
カテゴリ: presentation監査

A platform-neutral analytical skill that profiles messy data, selects adaptive methods, and produces source-backed visual reports for high-stakes decisions.

204
Stars
77/100
信頼
カテゴリ: data監査