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lovable

Read, create, edit, and deploy web apps and projects in Lovable. Use to turn a product brief into a working website or prototype, inspect existing project code, update pages and features, and publish changes through Lovable's official MCP server.

インストール方法を見る

含まれるファイル(3)

  • SKILL.md1.8 KB
  • connector_auth_config.yaml246 B
  • manifest.yaml4.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Lovable

Use the installed lovable CLI. Start with lovable status. If it reports not_connected, run lovable authorize-url and share only the returned connect_url with the user.

OAuth uses Lovable's fixed Muse client and PKCE through authd. CAGI supplies the client secret for token exchange and refresh; it never enters Muse and must never be requested in chat. The first connection requests read-only access. Before a write, or after one fails for missing access, run lovable status --for-command <tool-name>. If it returns scope_status: not_granted, copy scope_add_url exactly and post it on its own line as [Additional Lovable access](<scope_add_url>) so the client renders the native access button, then wait for consent to finish before retrying once. OAuth access does not replace Hatch approval. Never construct a scope URL or ask for tokens in chat.

Run lovable list-tools to inspect the live provider catalogue and schemas, then call an advertised tool with:

lovable call-tool --name <tool> --arguments-json '<json-object>'

list-tools exposes only reviewed Lovable tools and includes each tool's hatch_permission, hatch_action, and hatch_permission_label. Unknown or new provider tools remain unavailable until reviewed. Read permissions follow the user's connector settings; edits, publishes, and database operations use separate granular approvals. Do not retry a failed or timed-out write automatically because its side effect may have completed.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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asgeirtj/system_prompts_leaks7万2026年10月12日 更新

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