mteb-leaderboard

13 stars 1 forks
21

Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks). This skill applies when tasks involve finding top-performing models on specific benchmarks, comparing model performance across leaderboards, or answering questions about current benchmark standings. Covers strategies for accessing live leaderboard data, handling temporal requirements, and avoiding common pitfalls with outdated sources.

Also in: 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-leaderboard
skilz install letta-ai/skills/mteb-leaderboard --agent opencode
skilz install letta-ai/skills/mteb-leaderboard --agent codex
skilz install letta-ai/skills/mteb-leaderboard --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-feedback/mteb-leaderboard ~/.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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