Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, SQLite storage, and visualization.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add clowlove/Hermes-House --skill data-science --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: data-science
description: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, SQLite storage, and visualization.
version: 2.0.0
metadata:
hermes:
tags: [data]
related_skills: [jupyter-live-kernel]
---
# Data Science
## Overview
Skills for data science workflows — interactive Python exploration via live Jupyter kernels, data analysis and aggregation with SQLite, and visualization with matplotlib.
## Sub-skills
- **jupyter-live-kernel**: Iterative Python via live Jupyter kernel (hamelnb)
## Labeled Sections
### SQLite Data Storage
For Hermes Agent's lightweight structured data storage using SQLite — news aggregates, trends, task state, user preferences — see `references/sqlite-data.md`. Covers table creation, queries, upsert patterns, FTS, and performance optimization.
## Usage
Load individual skills from this category using:
```
skill_view(name="data-science/{sub_skill}")
```
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.