feat: integrate and rename agent-memory to agent-memory-mcp
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sck_0
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README.md
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README.md
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# 🌌 Antigravity Awesome Skills: 233+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More
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# 🌌 Antigravity Awesome Skills: 234+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More
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> **The Ultimate Collection of 233+ Universal Agentic Skills for AI Coding Assistants — Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, Cursor, OpenCode**
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> **The Ultimate Collection of 234+ Universal Agentic Skills for AI Coding Assistants — Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, Cursor, OpenCode**
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[](https://opensource.org/licenses/MIT)
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[](https://claude.ai)
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[](https://github.com/opencode-ai/opencode)
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[](https://github.com/anthropics/antigravity)
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**Antigravity Awesome Skills** is a curated, battle-tested library of **233 high-performance agentic skills** designed to work seamlessly across all major AI coding assistants:
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**Antigravity Awesome Skills** is a curated, battle-tested library of **234 high-performance agentic skills** designed to work seamlessly across all major AI coding assistants:
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- 🟣 **Claude Code** (Anthropic CLI)
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- 🔵 **Gemini CLI** (Google DeepMind)
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@@ -55,7 +55,7 @@ git clone https://github.com/sickn33/antigravity-awesome-skills.git .agent/skill
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@brainstorming help me design a todo app
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```
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That's it! Your AI assistant now has 233 specialized skills. 🎉
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That's it! Your AI assistant now has 234 specialized skills. 🎉
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**Additional Resources:**
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| **🎨 Creative & Design** | **~10** | UI/UX Pro Max, Frontend Design, Canvas, Algorithmic Art, Theme Factory, D3 Viz, Web Artifacts |
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| **🛠️ Development** | **~33** | TDD, Systematic Debugging, React Patterns, Backend/Frontend Guidelines, Senior Fullstack, Software Architecture |
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| **🏗️ Infrastructure & Git** | **~8** | Linux Shell Scripting, Git Worktrees, Git Pushing, Conventional Commits, File Organization, GitHub Workflow Automation |
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| **🤖 AI Agents & LLM** | **~30** | LangGraph, CrewAI, Langfuse, RAG Engineer, Prompt Engineer, Voice Agents, Browser Automation, Agent Memory Systems |
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| **🤖 AI Agents & LLM** | **~31** | LangGraph, CrewAI, Langfuse, RAG Engineer, Prompt Engineer, Voice Agents, Browser Automation, Agent Memory Systems |
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| **🔄 Workflow & Planning** | **~6** | Writing Plans, Executing Plans, Concise Planning, Verification Before Completion, Code Review (Requesting/Receiving) |
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| **📄 Document Processing** | **~4** | DOCX (Official), PDF (Official), PPTX (Official), XLSX (Official) |
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| **🧪 Testing & QA** | **~4** | Webapp Testing, Playwright Automation, Test Fixing, Testing Patterns |
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---
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## Full Skill Registry (233/233)
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## Full Skill Registry (234/234)
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Below is the complete list of available skills. Each skill folder contains a `SKILL.md` that can be imported into Antigravity or Claude Code.
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@@ -123,6 +123,7 @@ Below is the complete list of available skills. Each skill folder contains a `SK
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| **Address GitHub Comments** | Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI. | `skills/address-github-comments` |
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| **Agent Evaluation** | Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics. | `skills/agent-evaluation` |
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| **Agent Manager Skill** | Use when you need to manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling. | `skills/agent-manager-skill` |
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| **Agent Memory MCP** | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | `skills/agent-memory-mcp` |
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| **Agent Memory Systems** | Memory architecture for agents: short-term, long-term (vector stores), and cognitive architectures. | `skills/agent-memory-systems` |
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| **Agent Tool Builder** | Tool design from schema to error handling. JSON Schema best practices, validation, and MCP. | `skills/agent-tool-builder` |
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| **AI Agents Architect** | Expert in autonomous AI agents. Tool use, memory systems, planning strategies, multi-agent orchestration. | `skills/ai-agents-architect` |
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@@ -406,6 +407,7 @@ This collection would not be possible without the incredible work of the Claude
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- **[coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills)**: Marketing skills for CRO, copywriting, SEO, paid ads, and growth (23 skills, MIT).
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- **[vudovn/antigravity-kit](https://github.com/vudovn/antigravity-kit)**: AI Agent templates with Skills, Agents, and Workflows (33 skills, MIT).
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- **[affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code)**: Complete Claude Code configuration collection from Anthropic hackathon winner - skills only (8 skills, MIT).
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- **[webzler/agentMemory](https://github.com/webzler/agentMemory)**: Source for the agent-memory-mcp skill.
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### Inspirations
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---
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name: agent-memory
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name: agent-memory-mcp
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author: Amit Rathiesh
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description: A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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---
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1. **Clone the Repository**:
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Clone the `agentMemory` project into your agent's workspace or a parallel directory:
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```bash
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git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory
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```
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2. **Install Dependencies**:
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```bash
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cd .agent/skills/agent-memory
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npm install
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@@ -29,11 +31,13 @@ This skill provides a persistent, searchable memory bank that automatically sync
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3. **Start the MCP Server**:
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Use the helper script to activate the memory bank for your current project:
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```bash
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npm run start-server <project_id> <absolute_path_to_target_workspace>
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```
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*Example for current directory:*
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_Example for current directory:_
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```bash
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npm run start-server my-project $(pwd)
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```
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## Capabilities (MCP Tools)
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### `memory_search`
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Search for memories by query, type, or tags.
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- **Args**: `query` (string), `type?` (string), `tags?` (string[])
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- **Usage**: "Find all authentication patterns" -> `memory_search({ query: "authentication", type: "pattern" })`
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### `memory_write`
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Record new knowledge or decisions.
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- **Args**: `key` (string), `type` (string), `content` (string), `tags?` (string[])
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- **Usage**: "Save this architecture decision" -> `memory_write({ key: "auth-v1", type: "decision", content: "..." })`
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### `memory_read`
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Retrieve specific memory content by key.
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- **Args**: `key` (string)
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- **Usage**: "Get the auth design" -> `memory_read({ key: "auth-v1" })`
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### `memory_stats`
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View analytics on memory usage.
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- **Usage**: "Show memory statistics" -> `memory_stats({})`
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## Dashboard
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This skill includes a standalone dashboard to visualize memory usage.
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```bash
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npm run start-dashboard <absolute_path_to_target_workspace>
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```
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Access at: `http://localhost:3333`
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@@ -221,6 +221,12 @@
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"name": "agent-manager-skill",
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"description": "Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling."
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},
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{
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"id": "agent-memory-mcp",
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"path": "skills/agent-memory-mcp",
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"name": "agent-memory-mcp",
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"description": "A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions)."
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},
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{
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"id": "agent-memory-systems",
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"path": "skills/agent-memory-systems",
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