count-dataset-tokens - Letta Skills
Description
This skill provides guidance for counting tokens in datasets using specific tokenizers. It should be used when tasks involve tokenizing dataset content, filtering data by domain or category, and aggregating token counts. Common triggers include requests to count tokens in HuggingFace datasets, filter datasets by specific fields, or use particular tokenizers (e.g., Qwen, DeepSeek, GPT).
Type
Skill
Ecosystem
Cross-platform
Trust Score
86%
Related Skills
Stable Diffusion WebUI
Feature-rich web interface for Stable Diffusion image generation by AUTOMATIC1111.
LangChain
Comprehensive framework for building LLM-powered applications with chains, agents, and retrieval.
LobeChat
Modern, extensible AI chat framework with plugin ecosystem and multi-model support.
Open WebUI
Self-hosted web UI for LLMs with multi-model support, RAG, and plugin system.