llm-classifier ยท diff
git:20260507.313363d to git:20260507.50823d8
4 added, 0 removed. Audit A to A.
---
name: llm-classifier
description: LLM-based zero-shot and few-shot classification for flexible intent detection
allowed-tools:
- Read
- Write
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- Bash
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graph:
domains: [domain:software-engineering]
+ specializations: [specialization:ai-agents-conversational]
+ skillAreas: [skill-area:natural-language-processing]
+ roles: [role:ml-engineer, role:backend-engineer]
+ workflows: [workflow:ml-model-lifecycle, workflow:feature-development]
---
# LLM Classifier Skill
## Capabilities
- Implement zero-shot classification with LLMs
- Design few-shot classification prompts
- Configure structured output for labels
- Implement confidence scoring
- Design classification taxonomies
- Handle multi-label classification
## Target Processes
- intent-classification-system
- dialogue-flow-design
## Implementation Details
### Classification Patterns
1. **Zero-Shot**: No examples, description-based
2. **Few-Shot**: Example-based classification
3. **Structured Output**: JSON schema for labels
4. **Chain-of-Thought**: Reasoning before classification
5. **Ensemble**: Multiple prompts/models
### Configuration Options
- LLM model selection
- Label descriptions
- Example selection strategy
- Output format specification
- Confidence calibration
### Best Practices
- Clear label descriptions
- Representative examples
- Consistent output format
- Calibrate confidence scores
- Test with edge cases
### Dependencies
- langchain-core
- LLM provider