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lovable

Lovable MCP tool usage — deploy projects, message agent, test with agent-browser. Minimize credits by delegating to local repo.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=x-cmd-x-cmd-mod-skill0-lib-skill0-life-lovable-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name lovable description Lovable MCP tool usage — deploy projects, message agent, test with agent-browser. Minimize credits by delegating to local repo. metadata {"related":"agent-browser,prompt,devloop"} Lovable Setup & full MCP reference claude mcp add --transport http lovable "https://mcp.lovable.dev" Full MCP reference: lovable-mcp-server.md . Plan — Pro/Business required Auth — OAuth browser prompt on first call Clients — Claude Code, Claude Desktop, ChatGPT, Cursor, VS Code Core workflow: local first, save credits local edit → npm run dev (verify) → git push → mcp__lovable__deploy_project → agent-browser test Rules MUST verify project ID — call list_projects query=<name> to confirm the correct project_id before any action. NEVER reuse an ID from memory or previous context. After deploy, wait 30s then verify the live site before reporting success. MUST screenshot before & after — when modifying a project, capture a before-screenshot, make changes, capture an after-screenshot. Compare to confirm intent. Post to GitHub issue when applicable. Scrub all privacy data (tokens, personal info, emails) before uploading. Common MCP calls mcp__lovable__list_workspaces mcp__lovable__list_projects workspace_id=<id> query=<name> mcp__lovable__get_project project_id=<id> mcp__lovable__deploy_project project_id=<id> mcp__lovable__send_message project_id=<id> message="<instruction>" wait=true mcp__lovable__get_diff project_id=<id> message_id=<msg_id> Usecase — Analytics Quick overview: list_projects publish_status=published returns visitor counts per project. Export as TSV/CSV with schema: id, project, 24h, 7d, 30d, URL . For detailed analytics (pageviews, bounce rate, traffic sources, devices), see ANALYTICS.md . Usecase — Knowledge (persisted instructions for Lovable agent) mcp__lovable__get_project_knowledge project_id=<id> mcp__lovable__set_project_knowledge project_id=<id> content="<markdown>" Always get before set — replaces entirely. Max 10K chars. Also: get/set_workspace_knowledge . Test with agent-browser agent-browser --profile /tmp/ab-default open <url> --session <proj>-mobile --headed agent-browser --session <proj>-mobile set device "iPhone 14" agent-browser --session <proj>-mobile snapshot -i Full usage: see skill0 agent-browser . Troubleshooting Site not updated — deploy_project Code change, local exists — Local → push → deploy Code change, no local — send_message (high credit cost) Mobile test — agent-browser set device "iPhone 14" For PWA issues, sync problems, and more, see TROUBLESHOOTING.md . For more information docs llms.txt — full documentation index lovable.dev llms.txt — product hub, pricing, guides, templates Integrations — Stripe, Supabase, Slack, etc. Chat connectors — bring Notion, Linear, Jira into builds Lovable API — build apps programmatically via REST Related agent-browser — verification flow prompt — communicating with the agent devloop — lovable projects follow devloop shape
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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