MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Read, create, edit, and deploy web apps and projects in Lovable.
Install Lovable
$ npx skills add asgeirtj/system_prompts_leaks --skill lovable -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgeirtj/system_prompts_leaks lovable --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Meta/muse-agent/skills/lovable .claude/skills/lovable && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lovable" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-agent/skills/lovable into .claude/skills/lovable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lovable", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-agent/skills/lovableType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add asgeirtj/system_prompts_leaks --skill lovable -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgeirtj/system_prompts_leaks lovable --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Meta/muse-agent/skills/lovable .agents/skills/lovable && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lovable" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-agent/skills/lovable into .agents/skills/lovable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lovable", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgeirtj/system_prompts_leaks --skill lovable -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgeirtj/system_prompts_leaks lovable --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Meta/muse-agent/skills/lovable .cursor/skills/lovable && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lovable" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-agent/skills/lovable into .cursor/skills/lovable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lovable", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/asgeirtj/system_prompts_leaks.git --path Meta/muse-agent/skills/lovable--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add asgeirtj/system_prompts_leaks --skill lovable -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgeirtj/system_prompts_leaks lovable --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Meta/muse-agent/skills/lovable .gemini/skills/lovable && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lovable" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-agent/skills/lovable into .gemini/skills/lovable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lovable", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install asgeirtj/system_prompts_leaks lovableInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add asgeirtj/system_prompts_leaks --skill lovable -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .github/skills && cp -r skills-src/Meta/muse-agent/skills/lovable .github/skills/lovable && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lovable" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-agent/skills/lovable into .github/skills/lovable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lovable", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgeirtj/system_prompts_leaks --skill lovable -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgeirtj/system_prompts_leaks lovable --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Meta/muse-agent/skills/lovable .opencode/skills/lovable && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lovable" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-agent/skills/lovable into .opencode/skills/lovable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lovable", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lovable- GitHub stars
- 69k
- Token cost
- ~464 tokens
- SKILL.md length
- 204 words
- Files
- 3
- Skills in repo
- 128
- Repo updated
- First seen
- Licence
- CC0-1.0
At a glance
Read, create, edit, and deploy web apps and projects in Lovable.
- Turn a product brief into a working website
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Inspect existing project code
- Update pages and features
What it does
Lovable is an agent skill from asgeirtj/system_prompts_leaks. 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.
Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `connector_auth_config.yaml` and `manifest.yaml`).
It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro… The licence is CC0-1.0.
When your agent uses it
- Turn a product brief into a working website
- Inspect existing project code
- Update pages and features
- Publish changes through Lovables official MCP server
Example prompts
- “/lovable”
What it can do on your machine
Read from SKILL.md and the folder at commit 60d44cc. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Lovable loads about 464 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 204 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from asgeirtj/system_prompts_leaks at commit 60d44cc, republished under its CC0-1.0 licence (© asgeirtj). 204 words, ~464 tokens.
Download SKILL.mdSave it as
.claude/skills/lovable/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- lovable
- description
- 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.
- icon
- lovable
- metadata.includeInPrompt
- false
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.
© asgeirtj, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in Meta/muse-agent/skills/lovable of asgeirtj/system_prompts_leaks.
- SKILL.md
- connector_auth_config.yaml
- manifest.yaml
Open the folder on GitHubat commit 60d44cc
Compare with similar skills
Lovable next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lovable this skillasgeirtj/system_prompts_leaks | 69k | — | ~464 | Automated safety check: Pass | CC0-1.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence |
Similar skills
- Official
MCP Server Builder
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
- Official
MCP Integration for Plugins
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
MemPalace Memory Search
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
Crush Configuration
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
Context Mode Output Sandbox
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
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Runs a goal as a project in which the agent coordinates separate agent threads, judging when to split the work, and interviews you first when nothing can be verified.
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Creates and validates a new native Muse plugin package in the current workspace, limited to five capability families, and leaves installation to you.
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Related
Works with
Categories
Questions about Lovable
What does Lovable do?
Read, create, edit, and deploy web apps and projects in Lovable. Lovable is an agent skill from asgeirtj/system_prompts_leaks. Read, create, edit, and deploy web apps and projects in Lovable.
When should I use Lovable?
Lovable fits situations like: turn a product brief into a working website; inspect existing project code; update pages and features; publish changes through Lovables official MCP server.
How do I install Lovable in Claude Code?
Run `npx skills add asgeirtj/system_prompts_leaks --skill lovable -a claude-code`. Or copy the skill folder (Meta/muse-agent/skills/lovable in asgeirtj/system_prompts_leaks) into .claude/skills/lovable in your project. Claude Code loads it when a task matches its description.
How do I install Lovable in Codex?
Run `npx skills add asgeirtj/system_prompts_leaks --skill lovable -a codex`. Or copy the skill folder (Meta/muse-agent/skills/lovable in asgeirtj/system_prompts_leaks) into .agents/skills/lovable in your project. Codex loads it when a task matches its description.
Can I use Lovable in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgeirtj/system_prompts_leaks --skill lovable -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lovable, .gemini/skills/lovable, .github/skills/lovable and .opencode/skills/lovable in your project.
What does Lovable need to run?
SKILL.md names no scripts, command-line tools or credentials: Lovable is instructions for the agent only.
Does Lovable access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Lovable safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Lovable use?
Lovable is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Lovable use?
About 464 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Lovable?
Skills that share tags, products or a category with Lovable: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lovable?
asgeirtj (a GitHub user) maintains it in asgeirtj/system_prompts_leaks, which has 69,280 GitHub stars. The repository holds 128 skills in this directory. The repository was last updated on October 10, 2026.
Source: asgeirtj/system_prompts_leaks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.