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@ -127,6 +127,7 @@ Skills are not MCP servers and not tools. MCP defines how an agent connects to e
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- [Full-Page Screenshot](https://github.com/LewisLiu007/full-page-screenshot) - Captures full-page screenshots of web pages via Chrome DevTools Protocol with zero dependencies. *By [@LewisLiu007](https://github.com/LewisLiu007)*
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- [great_cto](https://github.com/avelikiy/great_cto) - Claude Code plugin: 7 specialised subagents (tech-lead, senior-dev, qa-engineer, security-officer, devops, l3-support, project-auditor) orchestrating a full SDLC pipeline — architecture, TDD, 12-angle code review, QA, security audit, deploy. 11 project archetypes auto-detected, 13 compliance frameworks (GDPR/PCI-DSS/HIPAA/SOC2/ISO 27001), self-improving knowledge layer that learns from every incident. *By [@avelikiy](https://github.com/avelikiy)*
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- [iOS Simulator](https://github.com/conorluddy/ios-simulator-skill) - Enables Claude to interact with iOS Simulator for testing and debugging iOS applications. *By [@conorluddy](https://github.com/conorluddy)*
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- [Jarvis Orb](https://github.com/TheStack-ai/jarvis-orb) - Persistent 4-tier AI memory with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization orb via MCP. *By [@TheStack-ai](https://github.com/TheStack-ai)*
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- [jules](https://github.com/sanjay3290/ai-skills/tree/main/skills/jules) - Delegate coding tasks to Google Jules AI agent for async bug fixes, documentation, tests, and feature implementation on GitHub repos. *By [@sanjay3290](https://github.com/sanjay3290)*
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- [LangSmith Fetch](./langsmith-fetch/) - Debug LangChain and LangGraph agents by automatically fetching and analyzing execution traces from LangSmith Studio. First AI observability skill for Claude Code. *By [@OthmanAdi](https://github.com/OthmanAdi)*
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- [lean-ctx](https://github.com/yvgude/lean-ctx) - MCP server and context runtime for AI coding agents: session caching, AST-aware compression, and 90+ shell patterns to reduce token usage. Supports Claude Code, Cursor, Copilot, and other integrations. Install the Claude Code skill with `lean-ctx init --agent claude-code`; docs at [leanctx.com](https://leanctx.com). *By [@yvgude](https://github.com/yvgude)*
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jarvis-orb/SKILL.md
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jarvis-orb/SKILL.md
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---
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name: jarvis-orb
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description: Persistent 4-tier AI memory system with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization via MCP.
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---
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# Jarvis Orb
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A persistent memory layer for AI coding assistants that remembers context across sessions. Provides 4-tier memory (episodic, semantic, project, procedural) with temporal relevance scoring, automatic contradiction detection, and entity relationship tracking. Includes a real-time desktop visualization orb that shows the AI's thinking process.
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## When to Use This Skill
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- When you need persistent memory across Claude Code sessions
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- When working on long-running projects that require context retention
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- When you want automatic entity tracking and relationship mapping
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- When you need contradiction detection in stored knowledge
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- When you want real-time visualization of AI memory operations
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## What This Skill Does
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1. **4-Tier Memory**: Organizes knowledge into episodic (events), semantic (facts), project (context), and procedural (how-to) tiers
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2. **Temporal Scoring**: Automatically ranks memory relevance based on recency, frequency, and importance
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3. **Contradiction Detection**: Identifies and resolves conflicting information across memory tiers
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4. **Entity Tracking**: Maps relationships between people, projects, decisions, and concepts
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5. **Desktop Visualization**: Real-time orb animation showing memory read/write operations
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## How to Use
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### Setup
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**macOS (Apple Silicon) / Linux:**
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```bash
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curl -fsSL https://raw.githubusercontent.com/TheStack-ai/jarvis-orb/main/install.sh | bash
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```
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**Windows (PowerShell):**
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```powershell
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irm https://raw.githubusercontent.com/TheStack-ai/jarvis-orb/main/install.ps1 | iex
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```
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The installer configures the MCP server and launches the desktop orb automatically.
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### Basic Usage
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Once configured as an MCP server, Jarvis Orb automatically:
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- Stores important context from conversations
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- Retrieves relevant memories when needed
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- Tracks entities and their relationships
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- Displays real-time activity via the desktop orb
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## Compatibility
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- Claude Code
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- Cursor
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- Any MCP-compatible AI tool
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## Tips
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- Start with project-level memory for focused context retention
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- Use the visualization orb to monitor memory operations in real-time
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- Review contradiction alerts to keep knowledge base consistent
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## Common Use Cases
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- Multi-session project development with full context retention
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- Team knowledge management across AI-assisted workflows
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- Long-term decision tracking and rationale preservation
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