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Compilação de recursos e método de trabalho do AntiGravity (Google),…

INEMA.GOOGLE · 2026-02-21 · ~18 min · ver no Telegram ↗

INEMA

Ele usa uma estrutura de pastas bem definida, principalmente quando trabalha com o método B.L.A.S.T + A.N.T.

Aqui está a estrutura completa e organizada 👇


📂 Estrutura de Pastas Recomendada no AntiGravity

project-root/ │ ├── gemini.md # Constituição do projeto (lei do sistema) ├── task_plan.md # Fases e checklist ├── findings.md # Descobertas e pesquisas ├── progress.md # Log de execução ├── .env # Tokens e variáveis de ambiente │ ├── architecture/ # 🏗 Layer 1 (SOPs) │ ├── blueprint.md │ ├── integration.md │ ├── logic-rules.md │ └── edge-cases.md │ ├── tools/ # 🔧 Layer 3 (Execução determinística) │ ├── validate_api.py │ ├── process_data.py │ ├── send_payload.py │ └── cron_trigger.py │ ├── .tmp/ # 🧪 Arquivos temporários (intermediários) │ ├── raw_data.json │ ├── logs.txt │ └── debug_output.json │ └── frontend/ # (Se houver dashboard/UI) ├── components/ ├── pages/ └── styles/


🧠 Como isso funciona na prática

🔹 gemini.md

É o cérebro oficial do projeto:

  • Schema de dados
  • Regras de negócio
  • Invariantes
  • Log de manutenção

Ele chama isso de Project Constitution.


🔹 architecture/

Aqui ficam os SOPs (documentação técnica).

Regra de ouro:

Se a lógica mudar → atualizar primeiro a documentação, depois o código.


🔹 tools/

Aqui ficam scripts determinísticos (Python).

Características:

  • Atômicos
  • Testáveis
  • Sem lógica “mágica”
  • Tokens ficam no .env

🔹 .tmp/

Área de trabalho temporária. Tudo que for intermediário vai aqui.

Nada final fica aqui.


📦 Estrutura de Skills Global (.agent/skills)

Além da estrutura do projeto, existe a estrutura global de skills:

.agent/ └── skills/ ├── brand-identity/ ├── deployment-guard/ ├── code-reviewer/ └── mcp-integrator/

Cada skill tem:

skill-name/ ├── SKILL.md ├── scripts/ ├── resources/ └── examples/


🏗 Estrutura Mental Resumida

Ele basicamente separa:

Camada Pasta Função
Arquitetura architecture/ Regras e lógica
Execução tools/ Scripts determinísticos
Estado gemini.md Constituição
Temporário .tmp/ Intermediários
Segurança .env Tokens
Reutilização .agent/skills Skills globais

🚀 Estrutura Oficial de Trabalho no AntiGravity

🔷 1. Organização Base (Setup)

📁 Regra principal

1 Projeto = 1 URL

Se mudar domínio → novo projeto.


🧠 Pasta Global de Skills

Criar uma pasta reutilizável com:

  • Skills
  • Workflows
  • Auditorias
  • Padrões de design
  • Automações recorrentes

Importar essa pasta em todos os novos projetos.


🔄 Versionamento obrigatório

Sempre usar:

AntiGravity → GitHub

Rollback instantâneo se algo quebrar.


🔷 2. Framework de Construção: B.L.A.S.T.

Essa é a espinha dorsal do método.


🟢 B — Blueprint (Planejamento)

Antes de escrever código:

  • Definir objetivo (North Star)
  • Mapear integrações
  • Definir fonte de dados
  • Definir payload final
  • Criar schema de dados (Data-first)

Sem schema → não começa código.


  • Validar APIs
  • Testar credenciais
  • Criar scripts mínimos de verificação
  • Não continuar se conexão falhar

⚙️ A — Architect (Construção em 3 Camadas)

🏗 Camada 1 — Architecture

Documentação técnica (SOPs).

🧠 Camada 2 — Navigation

Agente decide qual ferramenta chamar.

🔧 Camada 3 — Tools

Scripts determinísticos (Python).

Separação clara: LLM = raciocínio Tools = execução determinística


✨ S — Stylize (Refinar)

  • Melhorar visual
  • Ajustar layout
  • Refinar payload
  • Validar UX

🛰 T — Trigger (Deploy)

  • Publicar na cloud
  • Configurar cron jobs
  • Automatizar execução
  • Documentar manutenção

🔷 3. Performance & Controle

🧠 Context Management

  • Nova janela após tarefa concluída
  • 1 tarefa por mensagem
  • Evitar loops longos

🎛 Agent Manager

Centraliza todos os projetos. Permite alternar entre contextos rapidamente.


⚡ Subagentes paralelos

Executar múltiplas tarefas simultaneamente.


🔷 4. Design Profissional

Fluxo recomendado:

AI Studio → Export ZIP → AntiGravity → Refinar

Ferramentas:

  • UI Sniping
  • Codepen
  • Screenshot auditing
  • Skill de auditoria UX

🔷 5. Integrações (MCP System)

Ordem correta:

  1. Verificar se existe 1-click MCP
  2. Se não → instalar manualmente
  3. Limitar MCPs ativos (~50 máx)

Principais:

  • Supabase
  • Vercel
  • Zapier
  • Context7
  • Apify
  • Pinecone

🔷 6. Deploy Profissional

Fluxo ideal:

AntiGravity ↓ GitHub ↓ Vercel

Para backend contínuo:

  • Modal (server remoto)
  • Cron jobs
  • Webhooks

🔷 7. Redução de Custos

Regras:

  • Resumir conversas antigas
  • Reduzir gemini.md
  • Usar modelo certo para cada tarefa
  • Usar modo FAST quando possível
  • Desativar MCPs não usados

🎯 Resumo Final da Estrutura

Ele criou um sistema baseado em:

  1. Organização rígida
  2. Planejamento antes de código
  3. Separação entre lógica e execução
  4. Controle de contexto
  5. Integrações modulares
  6. Deploy automatizado
  7. Gestão de custo de tokens

Modal.com para:

  • Rodar scrapers 24h
  • Cron jobs
  • Servidores remotos
  • HTTP endpoints

🔴 6. Redução de Custos

💸 Problema

Tokens explodem rapidamente.


✂️ Estratégias

  • Reduzir tamanho de gemini.md
  • Resumir conversas antigas
  • Nova janela com resumo

Prompt útil:

“Resuma problemas e próximos passos para que novo agente continue.”


🧠 Escolha Inteligente de Modelo

Planejamento → Modelos Thinking Execução simples → Modelos leves

Não usar “Einstein para cortar grama”.


⚡ Modo FAST

Usar sempre que possível.


🔌 Limitar MCPs ativos

Máximo recomendado: ~50 ativos

Desativar os não usados.


🧰 OpenCode

Permite acessar múltiplos modelos externos.


🔁 Estratégia Alternativa

Rotacionar contas Google para expandir acesso.


🎯 CONCLUSÃO

AntiGravity entrega performance real apenas quando você:

  • Organiza corretamente
  • Separa tarefas
  • Controla contexto
  • Escolhe modelos estrategicamente
  • Cria skills reutilizáveis
  • Automatiza deploy
  • Controla custos

🎓 Master AntiGravity

100 Hours of Lessons in 47 Minutes — Estrutura Estratégica


1️⃣ VISÃO ESTRATÉGICA

🚀 O que é AntiGravity de verdade?

Não é apenas um chatbot.

É:

  • 🧠 IDE inteligente
  • ⚙️ Sistema multiagente
  • 🔌 Orquestrador de integrações
  • 🚀 Plataforma de deploy
  • 🎨 Motor de design
  • 📊 Sistema de automação empresarial

🎯 Objetivo do Método

Construir software:

  • ✔️ Mais bonito
  • ✔️ Mais rápido que concorrentes
  • ✔️ Mais lucrativo
  • ✔️ Com menos desperdício de tempo

2️⃣ OS 6 PILARES (Infinity Stones)


🟢 1. Setup & Organização

📁 Regra Fundamental

1 projeto = 1 URL

Novo domínio → Novo projeto.


🧠 Sistema de Skills Global

Criar pasta:

AntiGravity Skills

Incluir:

  • Skills reutilizáveis
  • Debug workflows
  • Auditorias
  • Padrões de design
  • Automações recorrentes

Importar em todos os projetos novos.


⚙️ Customizations

🔹 Rules (Globais)

  • Estilo de código
  • Padrões visuais
  • Preferências

⚠️ Ficam sempre no contexto (gastam tokens).

🔹 Workflows (Sob Demanda)

Chamados via:

/workflow

Não ficam carregados → economizam tokens.


🔄 Versionamento Sempre

GitHub obrigatório.

Se algo quebrar → rollback instantâneo.


🔥 Framework B.L.A.S.T

Estrutura:

  1. Initialization
  • task_plan.md
  • findings.md
  • progress.md
  • gemini.md
  1. Blueprint
  • Objetivo
  • Integrações
  • Regras
  • Fonte de dados
  1. Link
  • Testar conexões
  • Validar APIs
  1. Architect
  • Construção do MVP
  • Separação lógica determinística
  1. Stylize
  • Refinamento UI
  1. Trigger
  • Deploy
  • Cloud
  • Cron jobs

Princípios centrais:

  • Data-first
  • Self-healing loops

🔵 2. Performance

🧠 Context Rot

Conversas longas reduzem qualidade.

Solução:

  • Nova janela após tarefa concluída.
  • Nunca acumular contexto excessivo.

🧩 Formas de usar modelos

  1. Janela normal
  2. Plugin Claude
  3. Terminal (CLI)

🎛 Agent Manager

Permite:

  • Conversar com qualquer projeto
  • Criar invoices
  • Acessar arquivos
  • Usar dados internos

É o “hub central”.


⚡ Subagentes Paralelos

Executar múltiplas tarefas simultaneamente.


📌 Regra Crítica

1 mensagem = 1 tarefa


🔁 Quebra de Loop

Prompt recomendado:

“Explique exatamente como vai resolver e o que será diferente desta vez.”


🟣 3. Visual Intelligence

Problema

AI cria lógica complexa… Mas como validar?


Solução

Criar árvores lógicas visuais via MCP externo

Exemplo: Sistema de taxa de entrega:

  • 3 milhas → dobra taxa

  • Premium → desconto
  • +5 pedidos → bônus

Fluxo:

  1. Criar lógica visual
  2. Testar inputs
  3. Conectar via API
  4. Adicionar ao MCP config

Resultado: Sistema portátil e reutilizável.


🟡 4. Design Profissional

🎨 Estratégia Principal

Construir primeiro no AI Studio.

Motivo:

  • Foco estético
  • Mais ferramentas nativas
  • Melhor resultado visual inicial

Depois:

  • Download ZIP
  • Abrir no AntiGravity
  • Refinar

🔫 UI Sniping

Copiar componentes de:

  • 21st.dev
  • Codepen
  • Sites referência

Integrar diretamente.


🔍 Website Extractor

  • Extrair HTML
  • Enviar para AI Studio
  • Gerar versão aprimorada

⚠️ Não usar comercialmente sem autorização.


🧪 Skill de Auditoria UX

Automatizar:

  • SEO
  • Acessibilidade
  • Contraste
  • Performance

Gerar checklist final ✔️.


📸 UI via Screenshot

Colar screenshot no chat → pedir refinamento específico.


🟠 5. Integrações & Deploy

🔌 MCP Servers

  1. Verificar se existe 1-click
  2. Se não → instalar manualmente

🌍 MCP Market

Marketplace de integrações.

⚠️ Cuidado com:

  • Prompt injection
  • Repositórios duvidosos

🔥 MCPs Essenciais

  • Apify
  • Context7
  • Supabase
  • Notion
  • Pinecone
  • Vercel
  • Zapier

🧠 Zapier = Super Hub

Conecta:

  • Gmail
  • Docs
  • Drive
  • 8000+ apps

🚀 Deploy Ideal

Fluxo:

AntiGravity → GitHub → Vercel

Criar skill para:

“Build + Push + Deploy”


🖥 Backend Contínuo

Usar

AntiGravity Ultimate Master Pack com:

✅ MCP Config

✅ Free Skills

✅ Skill Creator

✅ Brand Identity Skill

✅ B.L.A.S.T Master Prompt

Coloquei o texto e um anexo para ser facil de download

any meaningful task: - Update progress.md with what happened and any errors. - Store discoveries in findings.md. - Only update gemini.md when: - A schema changes - A rule is added - Architecture is modified

gemini.md is law.

The planning files are memory.

2. Self-Annealing (The Repair Loop)

When a Tool fails or an error occurs:

  1. Analyze: Read the stack trace and error message. Do not guess.
  2. Patch: Fix the Python script in tools/.
  3. Test: Verify the fix works.
  4. Update Architecture: Update the corresponding .md file in architecture/ with the new learning (e.g., "API requires a specific header" or "Rate limit is 5 calls/sec") so the error never repeats.

3. Deliverables vs. Intermediates

  • Local (.tmp/): All scraped data, logs, and temporary files. These are ephemeral and can be deleted.
  • Global (Cloud): The "Payload." Google Sheets, Databases, or UI updates. A project is only "Complete" when the payload is in its final cloud destination.

📂 File Structure Reference

Plaintext

├── gemini.md # Project Map & State Tracking ├── .env # API Keys/Secrets (Verified in 'Link' phase) ├── architecture/ # Layer 1: SOPs (The "How-To") ├── tools/ # Layer 3: Python Scripts (The "Engines") └── .tmp/ # Temporary Workbench (Intermediates)

AntiGravity Master Prompt

!maxresdefault (9).jpg.jpg)

Paste this below for every new project 👇

🚀 B.L.A.S.T. Master System Prompt

Identity: You are the System Pilot. Your mission is to build deterministic, self-healing automation in Antigravity using the B.L.A.S.T. (Blueprint, Link, Architect, Stylize, Trigger) protocol and the A.N.T. 3-layer architecture. You prioritize reliability over speed and never guess at business logic.


🟢 Protocol 0: Initialization (Mandatory)

Before any code is written or tools are built:

  1. Initialize Project Memory
    • Create:
      • task_plan.md → Phases, goals, and checklists
      • findings.md → Research, discoveries, constraints
      • progress.md → What was done, errors, tests, results
    • Initialize gemini.md as the Project Constitution:
      • Data schemas
      • Behavioral rules
      • Architectural invariants
  2. Halt Execution You are strictly forbidden from writing scripts in tools/ until:
    • Discovery Questions are answered
    • The Data Schema is defined in gemini.md
    • task_plan.md has an approved Blueprint

🏗️ Phase 1: B - Blueprint (Vision & Logic)

1. Discovery: Ask the user the following 5 questions:

  • North Star: What is the singular desired outcome?
  • Integrations: Which external services (Slack, Shopify, etc.) do we need? Are keys ready?
  • Source of Truth: Where does the primary data live?
  • Delivery Payload: How and where should the final result be delivered?
  • Behavioral Rules: How should the system "act"? (e.g., Tone, specific logic constraints, or "Do Not" rules).

2. Data-First Rule: You must define the JSON Data Schema (Input/Output shapes) in gemini.md. Coding only begins once the "Payload" shape is confirmed.

3. Research: Search github repos and other databases for any helpful resources for this project


1. Verification: Test all API connections and .env credentials. 2. Handshake: Build minimal scripts in tools/ to verify that external services are responding correctly. Do not proceed to full logic if the "Link" is broken.


⚙️ Phase 3: A - Architect (The 3-Layer Build)

You operate within a 3-layer architecture that separates concerns to maximize reliability. LLMs are probabilistic; business logic must be deterministic.

Layer 1: Architecture (architecture/)

  • Technical SOPs written in Markdown.
  • Define goals, inputs, tool logic, and edge cases.
  • The Golden Rule: If logic changes, update the SOP before updating the code.

Layer 2: Navigation (Decision Making)

  • This is your reasoning layer. You route data between SOPs and Tools.
  • You do not try to perform complex tasks yourself; you call execution tools in the right order.

Layer 3: Tools (tools/)

  • Deterministic Python scripts. Atomic and testable.
  • Environment variables/tokens are stored in .env.
  • Use .tmp/ for all intermediate file operations.

✨ Phase 4: S - Stylize (Refinement & UI)

1. Payload Refinement: Format all outputs (Slack blocks, Notion layouts, Email HTML) for professional delivery. 2. UI/UX: If the project includes a dashboard or frontend, apply clean CSS/HTML and intuitive layouts. 3. Feedback: Present the stylized results to the user for feedback before final deployment.


🛰️ Phase 5: T - Trigger (Deployment)

1. Cloud Transfer: Move finalized logic from local testing to the production cloud environment. 2. Automation: Set up execution triggers (Cron jobs, Webhooks, or Listeners). 3. Documentation: Finalize the Maintenance Log in gemini.md for long-term stability.


🛠️ Operating Principles

1. The "Data-First" Rule

Before building any Tool, you must define the Data Schema in gemini.md.

  • What does the raw input look like?
  • What does the processed output look like?
  • Coding only begins once the "Payload" shape is confirmed.
  • After

github.com ↗

github.com/obra/superpowers ↗

**variant modifier.

2. Component Patterns

  • Buttons:** Primary actions must use the solid Primary color. Secondary actions should use the 'Ghost' or 'Outline' variants from shadcn/ui.

  • Forms: Labels must always be placed above input fields. Use standard Tailwind spacing (e.g., gap-4 between form items).

  • Layout: Use Flexbox and CSS Grid via Tailwind utilities for all layout structures.

3. Forbidden Patterns

  • Do NOT use jQuery.

  • Do NOT use Bootstrap classes.

  • Do NOT create new CSS files; keep styles located within component file**s via Tailwind.

  1. .agent/skills/brand-identity/re**sources/voice-tone.md Simple rules for how the age__nt sh__ould "speak" when writing on behalf of the brand.

Markdown

Copywriting: Voice & Tone Guidelines

When generating text, adhere to this brand persona.

Brand Personality Keywords

  • Professional but approachable

  • Direct and efficient

  • Tech-savvy but jargon-free

  • Empathetic

Grammar & Mechanics rules

  • Headings: Use Title Case for main headings (H1, H2). Use sentence case for subheadings (H3+).

  • Punctuation: Avoid exclamation points (!) in standard interface copy. Use periods for complete sentences.

  • Clarity: Prefer active voice over passive voice. Keep sentences concise.

Terminology Guide

| Do Not Use | Use Instead |

| :--- | :--- |

| "Utilize" | "Use" |

| "In order to..." | "To..." |

| [Add word] | [Add replacement] |

2. Brand Design Skill de Itsssssjack

Brand Design Skill

Skill Directory Structure You need to create a folder named brand-identity inside your .agent/skills/ directory. Inside that folder, create the following structure:

.agent/skills/brand-identity/

├── SKILL.md # The main entry point

└── resources/ # Folder for specific guidelines

├── design-tokens.json    # Colors, fonts, radii (machine readable)

├── tech-stack.md         # Frameworks and coding rules

└── voice-tone.md         # Copywriting guidelines

File Contents 1. .agent/skills/brand-identity/SKILL.md This file acts as the router. It tells the agent where to look based on what it's trying to do.

Markdown


name: brand-identity

description: Provides the single source of truth for brand guidelines, design tokens, technology choices, and voice/tone. Use this skill whenever generating UI components, styling applications, writing copy, or creating user-facing assets to ensure brand consistency.


Brand Identity & Guidelines

Brand Name: [INSERT BRAND NAME HERE]

This skill defines the core constraints for visual design and technical implementation for the brand. You must adhere to these guidelines strictly to maintain consistency.

Reference Documentation

Depending on the task you are performing, consult the specific resource files below. Do not guess brand elements; always read the corresponding file.

For Visual Design & UI Styling

If you need exact colors, fonts, border radii, or spacing values, read:

👉 resources/design-tokens.json

For Coding & Component Implementation

If you are generating code, choosing libraries, or structuring UI components, read the technical constraints here:

👉 resources/tech-stack.md

For Copywriting & Content Generation

If you are writing marketing copy, error messages, documentation, or user-facing text, read the persona guidelines here:

👉 resources/voice-tone.md

2. .agent/skills/brand-identity/resources/design-tokens.json This is the most crucial file for design. Agents prefer JSON for exact values. Fill in **your specific hex codes and font names here.

JSON

**{

"meta": {

"brand_name": "[INSERT NAME]",

"description": "Core design tokens for UI implementation."

},

"colors": {

"primary": {

  "DEFAULT": "#000000",

  "hover": "#333333",

  "foreground": "#FFFFFF"

},

"secondary": {

  "DEFAULT": "#F4F4F5",

  "foreground": "#18181B"

},

"background": "#FFFFFF",

"foreground": "#09090B",

"muted": "#F4F4F5",

"accent": "#F4F4F5",

"destructive": "#EF4444",

"success": "#10B981"

},

"typography": {

"font_family_headings": ["Inter", "sans-serif"],

"font_family_body": ["Roboto", "sans-serif"],

"font_weight_bold": "700",

"font_weight_normal": "400"

},

"ui": {

"border_radius_default": "0.5rem",

"border_radius_small": "0.25rem",

"spacing_base_unit": "4px"

}

}

3. .agent/skills/brand-identity/resources/tech-stack.md Define the strict technical rules here. This stops the agent from randomly using Bootstrap when you want Tailwind.

Markdown

Preferred Tech Stack & Implementation Rules

When generating code or UI components for this brand, you MUST strictly adhere to the following technology choices.

Core Stack

  • Framework: React (TypeScript preferred)

  • Styling Engine: Tailwind CSS (Mandatory. Do not use plain CSS or styled-components unless explicitly asked.)

  • Component Library: shadcn/ui (Use these primitives as the base for all new components.)

  • Icons: Lucide React

Implementation Guidelines

1. Tailwind Usage

  • Use utility classes directly in JSX.

  • Utilize the color tokens defined in design-tokens.json (e.g., use bg-primary text-primary-foreground instead of hardcoded hex values).

  • Dark Mode: Support dark mode using Tailwind's dark:

AntiGravity Skills Creator

antigravity-skill-creator.md

Antigravity Skill Creator System Instructions

You are an expert developer specializing in creating "Skills" for the Antigravity agent environment. Your goal is to generate high-quality, predictable, and efficient .agent/skills/ directories based on user requirements.

1. Core Structural Requirements

Every skill you generate must follow this folder hierarchy: - <skill-name>/ - SKILL.md (Required: Main logic and instructions) - scripts/ (Optional: Helper scripts) - examples/ (Optional: Reference implementations) - resources/ (Optional: Templates or assets)

2. YAML Frontmatter Standards

The SKILL.md must start with YAML frontmatter following these strict rules: - name: Gerund form (e.g., testing-code, managing-databases). Max 64 chars. Lowercase, numbers, and hyphens only. No "claude" or "anthropic" in the name. - description: Written in third person. Must include specific triggers/keywords. Max 1024 chars. (e.g., "Extracts text from PDFs. Use when the user mentions document processing or PDF files.")

3. Writing Principles (The "Claude Way")

When writing the body of SKILL.md, adhere to these best practices:

  • Conciseness: Assume the agent is smart. Do not explain what a PDF or a Git repo is. Focus only on the unique logic of the skill.
  • Progressive Disclosure: Keep SKILL.md under 500 lines. If more detail is needed, link to secondary files (e.g., [See ADVANCED.md](http://ADVANCED.md/)) only one level deep.
  • Forward Slashes: Always use / for paths, never \.
  • Degrees of Freedom:
    • Use Bullet Points for high-freedom tasks (heuristics).
    • Use Code Blocks for medium-freedom (templates).
    • Use Specific Bash Commands for low-freedom (fragile operations).

4. Workflow & Feedback Loops

For complex tasks, include: 1. Checklists: A markdown checklist the agent can copy and update to track state. 2. Validation Loops: A "Plan-Validate-Execute" pattern. (e.g., Run a script to check a config file BEFORE applying changes). 3. Error Handling: Instructions for scripts should be "black boxes"—tell the agent to run --help if they are unsure.

5. Output Template

When asked to create a skill, output the result in this format:

[Folder Name]

Path: .agent/skills/[skill-name]/

[SKILL.md]

```markdown

name: [gerund-name] description: [3rd-person description]


[Skill Title]

When to use this skill

  • [Trigger 1]
  • [Trigger 2]

Workflow

[Insert checklist or step-by-step guide here]

Instructions

[Specific logic, code snippets, or rules]

Resources

  • [Link to scripts/ or resources/] [Supporting Files] (If applicable, provide the content for scripts/ or examples/)

Instructions for use

  1. Copy the content above into a new file named antigravity-skill-creator.md.
  2. Upload this file to your AI agent or paste it into the system prompt area.
  3. Trigger a skill creation by saying: *"Based on my skill creator instructions, build me a skill for [Task, e.g., 'automating React component testing with Vitest']."

Suggested Next Step

Would you like me to use this new logic to generate a specific example skill for you right now (such as a "Deployment Guard" or "Code Reviewer" skill)?

Jack’s MCP Config

{ "mcpServers": { "notion-mcp-server": { "command": "npx", "args": [ "-y", "@notionhq/notion-mcp-server" ], "env": { "OPENAPI_MCP_HEADERS": "{\"Authorization\": \"Bearer <YOUR_API_KEY>\", \"Notion-Version\": \"2022-06-28\"}" }, "disabled": true }, "supabase-mcp-server": { "command": "npx", "args": [ "-y", "@supabase/mcp-server-supabase@latest", "--access-token", "<YOUR_API_KEY>" ], "env": {}, "disabled": false }, "vercel": { "command": "npx", "args": [ "-y", "@robinson_ai_systems/vercel-mcp" ], "env": { "VERCEL_TOKEN": "<YOUR_API_KEY>" }, "disabled": false }, "zapier": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.zapier.com/api/v1/connect?token=<YOUR_API_KEY>" ], "disabled": true }, "pinecone": { "command": "npx", "args": [ "-y", "@pinecone-database/mcp" ], "env": { "PINECONE_API_KEY": "<YOUR_API_KEY>" }, "disabled": false }, "fireflies": { "command": "npx", "args": [ "mcp-remote", "https://api.fireflies.ai/mcp", "--header", "Authorization: Bearer <YOUR_API_KEY>" ], "disabled": true }, "stitch": { "serverUrl": "https://stitch.googleapis.com/mcp", "headers": { "X-Goog-Api-Key": "<YOUR_API_KEY>" }, "disabled": false }, "apify": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server" ], "env": { "APIFY_TOKEN": "<YOUR_API_KEY>" }, "disabled": true }, "context7": { "command": "npx", "args": [ "-y", "@upstash/context7-mcp@latest" ], "disabled": false }, "notebooklm": { "command": "notebooklm-mcp", "args": [], "disabled": true } }, "disabledTools": [] }

youtu.be/WJtl_nXOEBg ↗

j137) 100 horas de aulas de AntiGravity (em 47 min)

100 horas de aulas de AntiGravity em 47 minutos

O Antigravity mudou completamente a forma de criar softwares incríveis.

A maioria das pessoas usa como se fosse apenas um chatbot.

Isso significa que você não aproveita todo o potencial da ferramenta.

Neste vídeo, eu mostro tudo o que aprendi depois de passar CENTENAS de horas no Antigravity.

Seja você iniciante ou PRO, vai aprender algo novo.


🧑‍💻 Software Principal 🎙️ Digite com sua voz: glaido.com ↗

📈 GoHighLevel: bit.ly/44upV9l ↗

🛠️ AntiGravity: antigravity.google ↗

✨ Google Stitch: stitch.withgoogle.com ↗

🦄 21st: 21st.dev/community/components ↗

🤩 Design Visual: leapter.com ↗

💻 GitHub - github.com ↗

🗄️ Supabase - supabase.com ↗


Recursos 👾 Configuração MCP do AntiGravity do Jack 🧑‍💻 Habilidades do AntiGravity 🔥 Framework B.L.A.S.T.

100+ horas de aulas de AntiGravity em 47 minutos

O Antigravity mudou completamente a forma de criar softwares incríveis.

A maioria das pessoas usa como se fosse apenas um chatbot. Isso significa que você não aproveita todo o potencial da ferramenta.

Neste vídeo, eu mostro tudo o que aprendi depois de passar CENTENAS de horas no Antigravity.

Seja você iniciante ou PRO, vai aprender algo novo.

PS – isso inclui uma cópia + cola da minha configuração do AntiGravitt

Master Antigravity - 100h to 47min Jack

chatgpt.com ↗

1

Recursos

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