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: spoken-digits

英語版ディレクトリ

Desktop app that records your on-screen work session and uses the GitHub Copilot CLI to reconstruct it as an intent + ordered steps, then builds a reusable Skill or Automation for Microsoft Scout, Microsoft Copilot Cowork, or Copilot Studio.

3.0K
Stars
83/100
信頼
カテゴリ: utility監査

Create a new skill in the current repository. Use when the user wants to create/add a new skill, or mentions creating a skill from scratch. This skill follows the workflow defined in .agents/skills/README.md and helps scaffold, validate, and sync new skills.

51K
Stars
80/100
信頼
カテゴリ: automation監査

Build a reproducible local rough-cut workflow for talking-head or narrated screen-recording videos with transcript review gates.

1.3K
Stars
64/100
信頼
カテゴリ: Video Creation監査

Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

1.4K
Stars
69/100
信頼
カテゴリ: media-automation監査

A Claude Code skill that measures brand visibility in AI-generated answers by running a logged-in browser agent across engines like Google AI Overview, ChatGPT, Claude, Gemini, and Yandex Alice.

17
Stars
65/100
信頼
カテゴリ: marketing-growth監査

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

491
Stars
59/100
信頼
カテゴリ: ml-automation監査

The ChatGPT/DeepSeek Voice Assistant uses a Raspberry Pi (or desktop) to enable spoken conversation with OpenAI or DeepSeek large language models. This implementation listens to speech, processes the conversation through the OpenAI/DeepSeek service, and responds back. Like Apple Siri, Amazon Alex, Google Nest Home, Mi XiaoAi etc.

100
Stars
67/100
信頼
カテゴリ: support-automation監査

Place one CALL-E phone call to get a spoken, code-verified human approval before an agent or a pipeline does something irreversible, such as a production deploy, a database restore, a bulk refund or a migration. Use when the approver is away from a keyboard and the action cannot be undone.

63
Stars
67/100
信頼
カテゴリ: data-analysis監査

Conduct phone-based accessibility intake interviews for users who cannot complete web-based accessibility audit forms (screen reader fatigue, motor impairment, low vision, cognitive load), and produce a structured result mapped to VPAT 2.4 / Section 508 conformance reporting fields.

63
Stars
61/100
信頼
カテゴリ: security監査

Place a one-off welcome and onboarding call to a customer who just signed up, capture a structured result such as business type, goal, pain points, sentiment, and activation status, then write that result back to a CRM and queue a human follow-up task when the customer asks for one.

63
Stars
61/100
信頼
カテゴリ: business監査

Place one consent-first CALL-E callback after a local safety gate has already blocked an extreme-risk developer action, so a known project owner can say stop or request normal review without granting the agent destructive permission.

63
Stars
68/100
信頼
カテゴリ: coding-agents監査