🚀 BDB DEV - Optimized Creative & Full-Stack Skills Pack

Welcome to the BDB DEV Skills & MCP Configuration repository. This project serves as the backbone of our creative and full-stack development ecosystem, supercharging AI agents with highly specialized capabilities tailored for the event and creative technology industry, as well as general-purpose software engineering.

While optimized for Google Antigravity, this skills pack and MCP configuration is 100% universal and works seamlessly with all modern AI agents and developer interfaces, including Claude Desktop, Claude Code, Cursor, Aider, Roo Code, Cline, and Windsurf.

🌟 143 Optimized Skills

We started with a massive pool of over 1,400 raw AI skills. After rigorous testing, filtering, and refinement, we’ve distilled them down to a hyper-curated set of 143 Optimized Skills (featuring a native OpenWiki documentation engine in v1.3.2).

These skills are precision-engineered to ensure agents waste no time on redundant tasks and instead operate with maximum agency and context awareness.

💻 Beyond Events: Normal Software & App Coding

While heavily optimized for the creative tech industry, these skills are deeply rooted in core software engineering:

• Full-Stack Development: Spinning up Next.js App Router boilerplates, building scalable Node.js microservices, and crafting interactive frontends.
• App Development: Architecting databases, designing REST APIs, and building standard web and mobile applications from scratch.
• Design & Quality Assurance: Auditing UI/UX patterns (utilizing ui-ux-pro-max), enforcing clean code principles, and setting up strict CI/CD pipelines.

🧠 BDBrainstorm: The Ultimate Ideation Engine

Included in this optimized arsenal is our proprietary BDBrainstorm skill.

BDBrainstorm combines multi-agent brainstorming, the /grill-me slash command, subagent-driven development, and extreme UI/UX design workflows to force a comprehensive, multi-agent ideation process. It stress-tests designs, architectures the systems behind them, and outputs actionable, high-fidelity implementation plans.

🔌 21 Custom Local MCP Integrations

Rather than relying on skeletal python mocks or broken remote APIs, this repository bundles 21 custom, local MCP wrappers (in the mcps/ directory). These are built/warmed automatically and allow your AI assistant to read, write, and execute commands within the industry's leading creative software.

🎨 Adobe Creative Cloud (Illustrator, Photoshop, After Effects, Premiere Pro)

We provide a dual-engine architecture optimized for macOS and Windows environments:

• Direct OS-Native Bridge (bdb_adobe_mcp): Runs zero-install scripting.
  • macOS: Targets application bundle IDs directly (id "com.adobe.illustrator", id "com.adobe.Photoshop", id "com.adobe.AfterEffects") via AppleScript do javascript / DoScript command streams. This bypasses versioning directories and supports latest apps (e.g. Adobe Illustrator 2026).
  • Windows: Automatically queries and instantiates local COM objects (Illustrator.Application, Photoshop.Application, AfterFX.Application) via PowerShell wrapper scripts and executes transient .jsx ExtendScript code.
• Cross-Platform UXP WebSocket Bridge (bdb_adobe_uxp_mcp): A three-tier WebSocket proxy (Node.js server on port 8080 + native UXP developer plugins) for deep DOM manipulation and persistent WebSocket sessions inside Photoshop and Premiere Pro, running identically on Windows and macOS.

🎬 DaVinci Resolve (Triple Coverage)

• Primary: bdb_davinci_mcp: Works on both the Free and Studio versions using a workspace script menu loop. Exposes 162 tools (Timeline, clips, markers, grades, Fusion) and includes local CPU-based AI models (Meta Demucs v4 for voice isolation, faster-whisper for auto-subtitles, and rembg for background removal) so free users get Studio-grade features.
• Studio: bdb_davinci_mcp_studio: The official Node.js server (wrapping samuelgursky) for advanced direct timeline and project management in Resolve Studio.
• Fallback: bdb_davinci_mcp_fallback: Hoyt-harness professional python server for Studio scripting.

📐 Rhino 3D & Grasshopper (Twin-Engine)

• Primary: bdb_rhino_mcp: McNeel's official connector (managed via Yak router) for native reading/writing of Rhino geometric layouts.
• Fallback: bdb_rhino_mcp_fallback: The GOLEM 3D server with 105 tools to dynamically manipulate Rhino 8 assets, execute scripts, and solve Grasshopper definitions.

🏗️ Vectorworks

• Primary: bdb_vectorworks_mcp: Semantic RAG-based search index over VectorScript and Vectorworks API documentation (port 8765) for automated CAD drafting.

🎮 Unreal Engine

• Primary: bdb_unreal_mcp: Connects via the Unreal Engine 5 Web Remote Control API (port 30010) and the gimmeDG toolset. Allows the agent to query, spawn actors, edit materials, write Blueprints, and automate level/sequencer manipulation.

🧊 Blender (Twin-Engine)

• Primary: bdb_blender_mcp: BlenderMCP socket integration for scene layout, mesh generation, and viewport controls.
• Fallback: bdb_blender_mcp_fallback: djeada's python server for managing Blender TCP connections and raw python scripting.

🎛️ TouchDesigner (Twin-Engine)

• Primary: bdb_touchdesigner_mcp: MindDesigner-Bridge (tdmcp) on port 9980 to read and write networks via custom .tox structures.
• Fallback: bdb_touchdesigner_mcp_fallback: fallback TCP-based node query and inspector.

💡 grandMA3 & Resolume

• grandMA3: bdb_ma3_mcp sends OSC/UDP command streams directly to your grandMA3 console (port 8000) to automate cues, macros, and patch fixtures.
• Resolume: bdb_resolume_mcp wraps Arena's REST API (port 8080) to sequence layers, query statuses, and trigger clips.

🖥️ OS Control (Dual-Engine)

• macOS/Linux: zavora_computer_use: Bundled with precompiled native Rust NAPI binary objects (macOS arm64/x64, Linux) to control mouse, keyboard, windows, and apps without runtime compile errors.
• Windows: bdb_windows_computer_use: Native python-based Win32 / COM / UIAutomation controller with local OCR (Tesseract) support for advanced Windows GUI automation.

📖 11 Specialized System Skills

To make these MCP integrations accessible to AI agents, we provide 11 dedicated system skills inside the skills/global_config/ directory. If an AI agent imports this pack, it will immediately read these markdown files to learn the tool signatures, expected arguments, ExtendScript hooks, and common troubleshooting steps for each application:

• bdb-unreal-mcp.md
• bdb-rhino-mcp.md
• bdb-davinci-mcp.md
• bdb-blender-mcp.md
• bdb-after-effects-mcp.md
• bdb-vectorworks-mcp.md
• bdb-touchdesigner-mcp.md
• bdb-computer-use-mcp.md
• bdb-grandma3-mcp.md
• bdb-resolume-mcp.md
• bdb-adobe-suite-mcp.md
• openwiki-skill: Direct Gemini-native integration of OpenWiki for autonomous, high-agency documentation management and release notes maintenance.

📖 OpenWiki Native System

BDB OS v1.3.2 introduces a fully Gemini-Native OpenWiki engine designed to autonomously maintain codebase wikis, README entries, and release notes across all your active projects.

🧠 How It Works

1. No Node CLI Overhead: Rather than utilizing an external Javascript engine and model API keys, the system runs inside your local Antigravity environment, leveraging the 1M+ context window of Gemini 3.5 Flash for free.
2. Git Evidence Loop: The daemon executes a sub-second Python helper (openwiki_helper.py) to parse Git changes and unstaged diffs.
3. Smart Updates: If code changes are detected, it invokes the global agy CLI client in print-mode to update .openwiki/ markdown pages and root entrypoints, then commits documentation updates separately using the prefix docs(wiki): update project specs [auto].

⚙️ Setting Up the Background Daemon

To ensure your project documentation never goes out of date, configure the background daemon:

On macOS (LaunchAgent)

1. Deploy LaunchAgent: Run the helper installer script:

   bash ~/.gemini/config/skills/openwiki-skill/scripts/install_daemon.sh

On Windows (Task Scheduler)

1. Deploy Task Scheduler Task: Run the PowerShell helper script in an Administrator console:

   powershell -ExecutionPolicy Bypass -File "$env:USERPROFILE\.gemini\config\skills\openwiki-skill\scripts\install_daemon.ps1"

For All Platforms: Register Projects & Monitor

1. Register Projects: Add absolute directory paths to your projects config file at ~/.openwiki/projects.json:

   {
     "projects": [
       "/Users/<your-username>/bdb-dev-optimized-antigravity-skills",
       "/Users/<your-username>/Web-Projects/your-project"
     ],
     "interval_seconds": 3600
   }

2. Monitor Execution: Tail the active logs to see background scan actions and documentation rebuild status:

   tail -f ~/.openwiki/daemon.log

🛠️ Installation

The installer is built using an interactive Node-based menu. It allows you to:

1. Backup & Overwrite: Safely backups existing configuration files and overrides them.
2. Merge: Merges the new skills, configs, and custom local MCP paths with your existing ones.

Option 1: Ask Your AI Agent (Easiest)

Simply tell your assistant:

"Please run npx -y @hybridlabor-api/bdb-antigravity-skills@latest to install the skills pack and configure the local MCP servers."

Option 2: Command Line (Global via NPX)

Run the script globally in your terminal:

npx -y @hybridlabor-api/bdb-antigravity-skills@latest

Option 3: Using Homebrew (macOS)

If you are on a Mac and prefer Homebrew, you can tap and install the package:

brew tap hybridlabor-api/bdb-skills
brew install bdb-skills
bdb-skills

Option 4: Manual Shell Script (Git Clone)

Clone the repository and run the installer script:

git clone https://github.com/hybridlabor-api/bdb-dev-optimized-antigravity-skills.git
cd bdb-dev-optimized-antigravity-skills
chmod +x installer.sh
./installer.sh

The installer script will automatically:

1. Back up your existing global and workspace skills safely.
2. Deploy the new curated global config skills.
3. Install the workspace-specific agent skills.
4. Copy the customized GEMINI.md to ~/.gemini/GEMINI.md.
5. Pre-warm Python dependencies via uv run to prevent AI agent timeouts on first run.

Elevate your agency. Dominate the workflow.