技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: finder

英文目录

A Codex skill that analyzes startup URLs or product ideas to find evidence-backed potential first customers using public signals.

989
Stars
84/100
信任
分类: marketing-growth审计

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

34K
Stars
80/100
信任
分类: research审计

Proxy [Finder | Checker | Server]. HTTP(S) & SOCKS :performing_arts:

4.2K
Stars
69/100
信任
分类: web-automation审计

The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.

692
Stars
70/100
信任
分类: rag-knowledge审计

Flight price tracker. Self-hosted, open source, bring your own LLM. The price trail airlines don't show you.

127
Stars
69/100
信任
分类: commerce-automation审计

Local-first handoff prep for developers using coding agents.

149
Stars
68/100
信任
分类: coding-agents审计
Agf67

AI Agent Session Finder — TUI to find, resume and manage sessions across Claude Code, Codex, Gemini, Kiro, OpenCode, Cursor, pi, Hermes

136
Stars
67/100
信任
分类: coding-agents审计

A real-time tech course finder, created using Elasticsearch, Python, React+Redux, Docker, and Kubernetes.

146
Stars
64/100
信任
分类: devops审计

Execute custom scripts from the MacOS context menu (CTRL+click) in Finder.

526
Stars
63/100
信任
分类: productivity-automation审计

Agentic RAG, Multi-Agent Systems, and Vision Reasoning are three pipelines to find the perfect LLM

135
Stars
64/100
信任
分类: rag-knowledge审计

MacOS Finder Extension to show information about media files (images, video and audio), PDF and Office files on the contextual menu.

449
Stars
60/100
信任
分类: document-processing审计