prompt-compression ยท diff
git:20260507.313363d to git:20260507.50823d8
4 added, 0 removed. Audit A to A.
---
name: prompt-compression
description: Token-efficient prompt compression techniques for cost optimization
allowed-tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
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]
---
# Prompt Compression Skill
## Capabilities
- Implement token-efficient prompt compression
- Design context pruning strategies
- Configure selective context inclusion
- Implement LLMLingua-style compression
- Design summary-based compression
- Create compression quality metrics
## Target Processes
- cost-optimization-llm
- agent-performance-optimization
## Implementation Details
### Compression Techniques
1. **LLMLingua**: Token-level compression
2. **Summary Compression**: LLM-based summarization
3. **Selective Context**: Relevant section extraction
4. **Token Pruning**: Remove low-importance tokens
5. **Document Filtering**: Pre-retrieval filtering
### Configuration Options
- Compression ratio targets
- Quality threshold settings
- Token budget constraints
- Compression model selection
- Evaluation metrics
### Best Practices
- Monitor quality vs compression tradeoff
- Test with representative prompts
- Set appropriate compression ratios
- Validate compressed prompt quality
- Track cost savings
### Dependencies
- llmlingua (optional)
- tiktoken
- transformers