Generates human-readable, context-aware session IDs by analyzing content source types and extracting key themes.
The ID Generator skill provides a standardized way to organize agentic workflows by creating meaningful identifiers for processed content. By analyzing source metadata—such as whether a file is a podcast transcript, a YouTube description, or a news article—and extracting the core subject matter, it replaces generic random strings with descriptive IDs like 'podcast-2024-12-08-ai-healthcare'. This skill is essential for developers and teams managing large volumes of AI-generated content who need to ensure data traceability, reusability, and clear organization across their automated pipelines.
主要功能
01Standardized date-based versioning in YYYY-MM-DD format
02Strict JSON output for seamless integration into automated workflows
03Confidence scoring and rationale for every source detection
04Intelligent keyword extraction for descriptive, human-readable naming
052 GitHub stars
06Automated source type classification for podcasts, articles, and transcripts
使用场景
01Enhancing traceability in agentic workflows by tagging sessions with semantic metadata
02Organizing large datasets of processed transcripts for easier retrieval and indexing
03Creating consistent file naming conventions for automated AI content pipelines
