mteb-retrieve

13 stars 1 forks
21

This skill provides guidance for semantic similarity retrieval tasks using embedding models (e.g., MTEB benchmarks, document ranking). It should be used when computing embeddings for documents/queries, ranking documents by similarity, or identifying top-k similar items. Covers data preprocessing, model selection, similarity computation, and result verification.

Also in: pdf word data analysis

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install letta-ai/skills/mteb-retrieve
skilz install letta-ai/skills/mteb-retrieve --agent opencode
skilz install letta-ai/skills/mteb-retrieve --agent codex
skilz install letta-ai/skills/mteb-retrieve --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/letta-ai/skills
2. Copy the agent skill directory:
cp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-only/mteb-retrieve ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Repository
skills
Stars
13
Forks
1
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Market Score
21

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