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: standalone

英語版ディレクトリ

Open source routing engine for OpenStreetMap. Use it as Java library or standalone web server.

6.5K
Stars
86/100
信頼
カテゴリ: geo-science監査

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

989
Stars
84/100
信頼
カテゴリ: marketing-growth監査

Manages Envoy Proxy as a Standalone or Kubernetes-based Application Gateway

2.8K
Stars
76/100
信頼
カテゴリ: devops監査

A C++ standalone library for machine learning

5.4K
Stars
75/100
信頼
カテゴリ: ml-automation監査

Official Basecamp CLI with AI agent integration, JSON output, and plugins for Claude Code and Codex, enabling agent-driven project management.

226
Stars
69/100
信頼
カテゴリ: productivity監査

A library of reusable AI agent skills following the Agent Skills standard, installable across multiple AI development tools.

118
Stars
74/100
信頼
カテゴリ: utility監査

Fizzy CLI and Agent Skills

205
Stars
71/100
信頼
カテゴリ: utility監査

Complete guide explaining how to build and run a virtualized small Kubernetes cluster with one Proxmox VE standalone node on a single computer.

1.2K
Stars
71/100
信頼
カテゴリ: devops監査

Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.

3.1K
Stars
73/100
信頼
カテゴリ: media-automation監査

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

34K
Stars
77/100
信頼
カテゴリ: research監査

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
信頼
カテゴリ: data-analysis監査

Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add semantic patterns, callouts, accessible motion, or sketchy/hand-drawn styling.

24K
Stars
75/100
信頼
カテゴリ: security監査