Data Labeling

Data Labeling is a Data skill for Claude Code, published by seb1n in awesome-ai-agent-skills.

174 stars32 forkson seb1n/awesome-ai-agent-skillsAdded 2026/09/07+2% in starsRepository updated 2026/08/09

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Install in seconds

Install Data Labeling

Copy Data Labeling into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/seb1n/awesome-ai-agent-skills/tree/main/ai-ml-operations/data-labeling ~/.claude/skills/data-labeling

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/seb1n/awesome-ai-agent-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: ai-ml-operations/data-labeling/SKILL.md in seb1n/awesome-ai-agent-skills
Installs to: ~/.claude/skills/data-labeling
Collection: One of 25 skills cataloged from this repository
Category: Data — 796 skills

What Data Labeling does

Data Labeling designs and runs annotation workflows for machine learning datasets. It is used to set up labeling tools, pre-annotate data, manage quality control, and export labeled data for training.

Data Labeling is cataloged under Data on DirSkills. Data Labeling comes from a repository tagged agent-skills, ai-agent-skills, ai-agents, awesome-list and claude-code.

Documentation

README

Excerpt

Data Labeling

This skill enables an AI agent to design and execute data labeling workflows for machine learning projects. It covers manual annotation with tools like Label Studio, semi-automated labeling with model-assisted pre-annotation, active learning loops that prioritize the most informative samples, and programmatic weak supervision using labeling functions. The agent handles label schema design, annotator guidelines, quality control through inter-annotator agreement, and export to ML-ready formats.

Workflow

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Data Labeling

What else does seb1n publish alongside Data Labeling?
Data Labeling is one of 25 skills that DirSkills catalogs from seb1n/awesome-ai-agent-skills, the repository it ships in. Its siblings there include API Design, API Integration and Agent Evaluation. Each one is a separate skill with its own page in this directory, installs the same way Data Labeling does, and is maintained by seb1n in that same repository. The rest of the collection is listed on the seb1n/awesome-ai-agent-skills page.
How does Data Labeling compare to other Data skills?
Data Labeling ranks #747 by stars among the 796 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Data Labeling against them. Open each page to compare what they document and how they install.