caveman
Enable compressed AI communication with Caveman mode
AI assistants often produce verbose responses that waste tokens and increase costs. Caveman mode cuts output tokens by 65 to 75 percent while preserving full technical accuracy and code quality.
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Test it
Using "caveman". Why is my React component re-rendering every time?
Expected outcome:
- Lite: Your component re-renders because you create a new object reference each render. Wrap it in useMemo.
- Full: New object ref each render. Inline object prop equals new ref equals re-render. Wrap in useMemo.
- Ultra: Inline obj prop leads to new ref leads to re-render. useMemo.
Using "caveman". Explain database connection pooling.
Expected outcome:
- Lite: Connection pooling reuses open connections instead of creating new ones per request. Avoids repeated handshake overhead.
- Full: Pool reuse open database connections. No new connection per request. Skip handshake overhead.
- Ultra: Pool equals reuse database connections. Skip handshake leads to fast response under load.
Security Audit
SafeAll 11 static analyzer findings confirmed as false positives. The scanner incorrectly flagged markdown backtick code formatting as Ruby or shell backtick execution at nine locations. Two weak cryptography detections were also false positives, matching unrelated text patterns in YAML frontmatter and markdown headings. The skill is a pure behavioral instruction document for AI communication style with no code execution, no network access, no file system operations, and no cryptographic operations. Safe for publication.
High Risk Issues (2)
Medium Risk Issues (8)
Quality Score
What You Can Build
Reduce API costs for high-volume development teams
Development teams that interact with AI assistants throughout the day can significantly reduce token consumption and API costs. Each conversation uses 65 to 75 percent fewer output tokens while the AI retains full technical precision in code reviews, debugging, and architecture discussions.
Speed up interactive debugging sessions
During live debugging, developers need fast answers without reading paragraphs of explanation. Caveman mode delivers direct, actionable responses that cut through verbose AI tendencies and get straight to the root cause and fix.
Enable efficient AI assistance on mobile devices
Reading long AI responses on a phone screen is inefficient. Compressed output makes AI-assisted coding practical on mobile by reducing scrolling while preserving the information developers need.
Try These Prompts
From now on, respond in caveman mode. Drop filler words, articles, and hedging. Keep full technical accuracy.
Use caveman lite mode. Remove filler and hedging but keep articles and full sentence structure.
Use caveman ultra mode. Abbreviate common terms, use arrows for causality, maximum compression.
Stop caveman mode. Return to normal communication style.
Best Practices
- Start with caveman lite for professional contexts, then increase intensity for focused debugging sessions.
- Use 'stop caveman' when you need detailed explanations, onboarding documentation, or code review comments for teammates.
- Allow the auto-clarity feature to activate for security warnings and irreversible actions, such as database deletions.
Avoid
- Do not use caveman mode when writing user-facing documentation, error messages, or customer communication.
- Do not expect caveman style in code blocks, commit messages, or pull request text. Those always use normal formatting.
- Do not combine wenyan modes with users who are unfamiliar with classical Chinese characters or grammar patterns.