ワンクリックでManusで任意のスキルを実行

websocket-googleai

スター20

フォーク11

更新日2026年3月20日 00:08

Update googleai_dart from Google AI WebSocket schema changes. Use for live schema refresh, change review, scaffolding, and verification.

インストール

Codex または Claude でインストールこの Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。

Manusで実行

ソース

davidmigloz

davidmigloz/ai_clients_dart

GitHub リポジトリを開く Creator のリポジトリを見る

ダウンロード

Manusで実行

Google AI WebSocket Workflow

Prerequisites

Auth: No auth env vars required for fetch/review; runtime WebSocket usage still uses Google AI credentials.
CLI: python3 .agents/shared/api-toolkit/scripts/api_toolkit.py
Existing-package commands: run the repo-relative examples from the repository root. If you run them elsewhere, invoke the script via an absolute path and pass an absolute --config-dir.

Workflow

Fetch:

python3 .agents/shared/api-toolkit/scripts/api_toolkit.py fetch   --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config

Fetch writes the candidate spec to the configured output_dir as latest-<spec>.json. 2. Review:

python3 .agents/shared/api-toolkit/scripts/api_toolkit.py review   --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config

Implement with scaffold plus the package references, then promote the reviewed candidate from output_dir/latest-<spec>.json into packages/googleai_dart/specs/ before final verification.
Verify:

python3 .agents/shared/api-toolkit/scripts/api_toolkit.py verify   --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config   --checks all --scope all

Specs

Spec	Description
`live`	Real-time bidirectional audio/video streaming via WebSocket

Package References

Separate Dart Quality Steps

cd packages/googleai_dart
dart analyze --fatal-infos
dart format --set-exit-if-changed .
dart test test/unit/

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name	websocket-googleai
description	Update googleai_dart from Google AI WebSocket schema changes. Use for live schema refresh, change review, scaffolding, and verification.

Google AI WebSocket Workflow

Prerequisites

Auth: No auth env vars required for fetch/review; runtime WebSocket usage still uses Google AI credentials.
CLI: python3 .agents/shared/api-toolkit/scripts/api_toolkit.py
Existing-package commands: run the repo-relative examples from the repository root. If you run them elsewhere, invoke the script via an absolute path and pass an absolute --config-dir.

Workflow

Fetch:

python3 .agents/shared/api-toolkit/scripts/api_toolkit.py fetch   --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config

Fetch writes the candidate spec to the configured output_dir as latest-<spec>.json. 2. Review:

python3 .agents/shared/api-toolkit/scripts/api_toolkit.py review   --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config

Implement with scaffold plus the package references, then promote the reviewed candidate from output_dir/latest-<spec>.json into packages/googleai_dart/specs/ before final verification.
Verify:

python3 .agents/shared/api-toolkit/scripts/api_toolkit.py verify   --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config   --checks all --scope all

Specs

Spec	Description
`live`	Real-time bidirectional audio/video streaming via WebSocket

Package References

Separate Dart Quality Steps

cd packages/googleai_dart
dart analyze --fatal-infos
dart format --set-exit-if-changed .
dart test test/unit/