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SkillsMP has collected 6 skills from danielrosehill/Claude-Data-Annotation-Plugin. Open a skill to review its source and details.
Showing 6 of 6 collected skills.
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…
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…
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.
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`.
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",…
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,…