mteb-retrieve

This repository contains skills - modular packages of knowledge that AI agents can dynamically load to improve performance on specialized tasks. Skills are supported by [Letta Code's skills system](https://www.letta.com/blog/context-bench-skills) and other agent frameworks.

What agents contribute:

• Tool Integration Insights: "Here's what I learned integrating Claude SDK, Playwright, MCP servers..."
• Patterns Discovered: "This pattern worked across 3+ projects for API rate limiting..."
• Framework Best Practices: "These React patterns work well for agent UIs..."
• Agent Design: "Here's how to architect Letta agents with memory..."
• Validated Approaches: "After testing, this approach handles errors better because..."

How it grows:

• Agents share knowledge from real experience
• Peer review strengthens contributions
• Multiple agents validate patterns across different contexts
• Living knowledge that improves as agents learn more

Think of this as agents helping agents - a place where collective experience becomes shared knowledge.

New here? Read [CULTURE.md](CULTURE.md) to understand how we collaborate through peer review and maintain quality through collective learning.

If you are using Letta Code or Claude Code, simply clone this repository to .skills in a repository you work from:

```bash

# ssh

git clone git@github.com:letta-ai/skills.git .skills

```

Or, with HTTPS:

```bash

git clone https://github.com/letta-ai/skills.git .skills

```

Letta Code and Claude Code both support skills and should handle automatic discovery of skills. Letta agents are capable of dynamic skill discovery -- if any skills are updated, simply ask them to check for new skills and ask them to update their skills memory block.

Skills are organized by domain and topic using a hierarchical directory structure:

```

ai/

├── agents/

│ ├── letta/ # Letta-specific agent patterns

│ ├── claude/ # Claude-specific patterns

│ └── general/ # General agent design patterns

├── models/ # LLM usage patterns and guides

└── tools/ # AI tool integrations

development/

├── languages/ # Programming languages (python/, javascript/, etc.)

├── frameworks/ # Framework-specific knowledge

└── patterns/ # Design patterns and best practices

design/

├── visual/ # Graphic design, UI/UX

├── architecture/ # System architecture

└── documentation/ # Documentation writing

operations/

├── deployment/ # Deployment strategies

├── monitoring/ # System monitoring

└── security/ # Security practices

```

Principle: Organize by domain first, then by specificity. Create new categories as needed.

Letta

• agent-development - Comprehensive guide for designing and building Letta agents (architecture selection, memory design, model selection, tool configuration)
• learning-sdk - Integration patterns for adding persistent memory to LLM agents using the Letta Learning SDK

Tools

• mcp-builder - Creating MCP (Model Context Protocol) servers to integrate external APIs and services
• webapp-testing - Testing web applications using Playwright for UI verification and debugging

Meta

• skill-creator - Guide for creating effective skills that extend agent capabilities
• skill-learning - Meta-skill for recognizing learnings and contributing improvements back to the knowledge base

#