muse_auto_tag
Automatically suggests and applies tags to coding sessions, analyzes content and code blocks, and learns from examples to improve tagging accuracy.
Instructions
Automatically suggests and applies tags to sessions. Actions: suggest (recommend tags), apply (add tags to session), train (learn from examples), config (configure tagging behavior).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | Action to perform | |
| sessionId | No | Session ID to analyze or update (for suggest/apply) | |
| content | No | Text content to analyze for tags | |
| codeBlocks | No | Code blocks to analyze | |
| maxTags | No | Maximum number of tags to suggest (default: 5) | |
| minConfidence | No | Minimum confidence threshold 0-1 (default: 0.7) | |
| includeExisting | No | Include existing tags when applying (default: true) | |
| categories | No | Filter suggestions by category | |
| examples | No | Training examples for train action | |
| enableAutoTag | No | Enable/disable auto-tagging (for config) | |
| defaultCategories | No | Default categories to use (for config) | |
| customPatterns | No | Custom patterns for tag detection (for config) | |
| useAI | No | Use AI for tag suggestions (default: false) |