danielrosehill/Claude-Data-Annotation-Plugin

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…

원문 언어: 영어

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…

원문 언어: 영어

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.

원문 언어: 영어

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`.

원문 언어: 영어

scaffold-annotation-env

Create a self-contained annotation workspace for a prepared dataset, including a locked annotation schema and ready-to-run boilerplate for batch inference via the Gemini API. Use when the user says "set up annotation", "create annotation environment",…

원문 언어: 영어

shape-dataset

Main entry point for turning raw data into a dataset. Examines a source (GitHub repo, local path, URL), works with the user to define the target task, then plans and executes a prep pipeline — profiling, PII handling, column curation, format normalization,…

원문 언어: 영어