assimilate-popular-wor…
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@a5c-aiInstall SkillAutomation
Skill
/prompt-compression
Token-efficient prompt compression techniques for cost optimization
Claude Code
$ npx -y skills add a5c-ai/babysitter --skill prompt-compression --agent claude-code
Codex
$ npx skills add a5c-ai/babysitter --skill prompt-compression -a codex -y
Cursor
$ npx skills add a5c-ai/babysitter --skill prompt-compression -a cursor -y
Gemini CLI
$ npx skills add a5c-ai/babysitter --skill prompt-compression -a gemini-cli -y
GitHub Copilot
$ npx skills add a5c-ai/babysitter --skill prompt-compression -a github-copilot -y
OpenCode
$ npx skills add a5c-ai/babysitter --skill prompt-compression -a opencode -y
Windsurf
$ npx skills add a5c-ai/babysitter --skill prompt-compression -a windsurf -y
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
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Questions about prompt-compression.
- Which coding agents can use prompt-compression?
- prompt-compression installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.