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: counting

英語版ディレクトリ

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

1.3K
Stars
72/100
信頼
カテゴリ: robotics-iot監査

Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golang@golang-naming` skill), linter configuration (→ See `samber/cc-skills-golang@golang-lint` skill), or doc comments (→ See `samber/cc-skills-golang@golang-documentation` skill).

3.0K
Stars
67/100
信頼
カテゴリ: coding-agents監査

Claude Code plugin that generates production-grade Python CLIs for any web app. 20 CLIs and counting.

201
Stars
65/100
信頼
カテゴリ: web-automation監査

Use when a task needs current public-web facts, comparisons, fact-checking, sources, or a multi-source synthesis and both web_search and web_fetch are available.

647
Stars
72/100
信頼
カテゴリ: research監査

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

282
Stars
63/100
信頼
カテゴリ: automation監査

Review skill PRs with structured severity-rated feedback covering token budgets, routing conflicts, required sections, and repo conventions. WHEN: \"review skill\", \"review skill PR\", \"review skill changes\", \"check skill quality\", \"skill PR feedback\".

244
Stars
59/100
信頼
カテゴリ: design-creative監査

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

929
Stars
64/100
信頼
カテゴリ: robotics-iot監査

In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more

788
Stars
62/100
信頼
カテゴリ: geo-science監査

An open-source PyTorch code for crowd counting

730
Stars
63/100
信頼
カテゴリ: robotics-iot監査

Manages Neo4j Aura Agents via the v2beta1 REST API — create, list, get, update, delete,

101
Stars
61/100
信頼
カテゴリ: automation監査
CAN62

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition (ECCV’2022 Poster).

387
Stars
62/100
信頼
カテゴリ: document-processing監査