Skill
assimilate-popular-wor…
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Skill
/prompt-compression
Token-efficient prompt compression techniques for cost optimization
Install
$ npx -y skills add a5c-ai/babysitter --skill prompt-compression --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/prompt-compression
Context preview
The summary Claude sees to decide when to auto-load this skill.
Token-efficient prompt compression techniques for cost optimization
SKILL.md
prompt-compression.SKILL.mdname: 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:context-management, skill-area:prompt-engineering]
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
Read more
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:context-management, skill-area:prompt-engineering] 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
Ships withbabysitter
Enforce obedience on agentic workforces. Manage extremely complex workflows through deterministic, hallucination-free self-orchestration.
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Maintenance
JavaScript
Language
MIT
License
11d ago
Last commit
8mo ago
Created
Repo: a5c-ai/babysitter
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