feedback-ls
OfficialSend document pages for human review.
Content & Communication#quality assurance#document review#annotation#human review#label studio#transcription feedback
AuthorAI-Riksarkivet
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of sending document pages to Label Studio for human feedback on AI-generated transcriptions and segmentations, ensuring higher quality and accuracy.
Core Features & Use Cases
- Human Feedback Workflow: Facilitates sending document pages to Label Studio for annotation and review.
- Two Modes: Supports importing pages with pre-annotations (using ALTO XML) or as blank image tasks for annotation from scratch.
- Use Case: A user identifies several pages with transcription errors and asks to have them corrected. This Skill can send those specific pages to Label Studio, either with the existing AI transcription for correction or as a blank canvas for manual annotation.
Quick Start
Send the document page with the image URL 'https://lbiiif.riksarkivet.se/arkis!30002056_00004/full/max/0/default.jpg' and ALTO URL 'https://sok.riksarkivet.se/dokument/alto/SE_RA_30002056_00004' for transcription feedback.
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: feedback-ls Download link: https://github.com/AI-Riksarkivet/ra-mcp/archive/main.zip#feedback-ls Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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