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Prompt Compression | Skills Pool

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Prompt Compression

Token-efficient prompt compression techniques for cost optimization

a5c-ai575 starsMar 25, 2026

Occupation
Categories: Framework Internals

Skill Content

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

LLMLingua: Token-level compression
Summary Compression: LLM-based summarization
Selective Context: Relevant section extraction
Token Pruning: Remove low-importance tokens

Related Skills

Quick Install

Prompt Compression

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Author: a5c-ai
stars: 575
Updated: Mar 25, 2026
Occupation

On this page

01Prompt Compression Skill

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

02

Capabilities

03Target Processes

04Implementation Details

05Compression Techniques

06Configuration Options

07Best Practices

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