semantic-batch-annotation
CommunityCalibrate and automate semantic labeling.
Authorxixiaxibro
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Calibrates semantic labeling workflows and automates batch annotation to reduce drift and scale high-quality labels.
Core Features & Use Cases
- Two-stage workflow: calibration to align the rubric, then production labeling with audit and merge steps.
- Roles and automation: lead-agent and worker-agent coordination, run preparation, batch assignment, and post-merge review.
- Reusable prompts and scripts: normalize data, prepare runs, generate batches, and produce audit artifacts.
Quick Start
Prepare a calibrated run by normalizing data, creating calibration seeds, and generating production batches using the provided scripts.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: semantic-batch-annotation Download link: https://github.com/xixiaxibro/semantic-batch-annotation-skill/archive/main.zip#semantic-batch-annotation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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