init-dataset-repo

Initialize a local git repository for a dataset, with the conventional Hugging Face layout, LFS configuration, license, and a stub dataset card. Use when the user wants to start a new dataset repo, or as a step inside `hf-setup`.

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Repository: danielrosehill/Claude-Data-Annotation-Plugin
Last source activity: April 27, 2026 at 17:34
Detected SKILL.md language: English
Stars: 1
Forks: 1

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npx skills add https://github.com/danielrosehill/Claude-Data-Annotation-Plugin --skill init-dataset-repo

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SKILL.md

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annotate-with-claude

Annotate a small dataset directly inside the Claude Code session — Claude reads each record, applies the locked schema, and writes structured annotations to disk. For datasets where standing up Label Studio or a Gemini batch job would be overkill (typically tens to low hundreds of records). Use when the user says "annotate this dataset", "label these records with Claude", "do the annotations yourself", or "small-scale annotation".

2026-04-27

hf-setup

Set up a Hugging Face dataset repository — create the remote repo (asking public/private), copy prepared data over, generate a dataset card, and push. Uses the huggingface-cli, not an MCP. Use when the user says "set up a HF dataset", "publish to Hugging Face", "create the HF dataset repo", or after annotation/prep is complete.

2026-04-27

ingest-source

Stage raw data from a GitHub repo, local path, or remote URL into a working directory so downstream prep skills can operate on it. Use when the user provides a data source and wants it pulled in, or when `shape-dataset` needs to ingest before profiling.

2026-04-27

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name	init-dataset-repo
description	Initialize a local git repository for a dataset, with the conventional Hugging Face layout, LFS configuration, license, and a stub dataset card. Use when the user wants to start a new dataset repo, or as a step inside `hf-setup`.