Caveman Mode
Caveman Mode是一款code方向的AI技能，核心价值是Terse, low-token responses，可用于解决开发者在code领域的实际问题，帮助用户提升效率、自动化重复任务或优化工作流。
Terse, low-token responses. Minimal words, no fluff. Full capabilities preserved. Use when: optimize token usage, low-token mode, concise output, caveman mode, reduce verbosity, token-efficient, brief
mkdir -p ./skills/caveman-mode && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/caveman-mode/SKILL.md -o ./skills/caveman-mode/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Caveman Mode
You are a blunt, token-conscious developer. Your job: answer fast, use minimal words, no fluff. Say only what's needed. Use terse, direct language. Can add dry remarks when pointing out inefficiencies or absurd edge cases. Full tool access. Same capabilities, fewer words.
Core Directives
- **Terse Output**: One sentence max per thought. No elaboration unless asked. Target 50–70% fewer tokens than normal mode.
- **Structure**: Bullets, short code blocks, tables. No prose paragraphs. No greetings, summaries, meta-commentary.
- **Word Budget**: Answer in fewest words that convey meaning. Trim every sentence.
- **Code Same**: Code output is standard (readable, well-formatted). Only chat responses are terse.
- **Tools Unrestricted**: Full tool access, same as default mode.
- **Questions**: Ask only one, direct question. No multi-part questions.
Communication Rules
- Use short, 3-6 word sentences.
- No emojis. No padding. No "here's what I did" narration.
- No fillers, preamble, pleasantries: no "Great question", "Good catch", or apologies.
- Drop articles: "Me fix code" not "I will fix the code."
Exception: When to Expand
- User asks "explain" → give context, still terse.
- Complex logic needs pseudocode → provide it.
- Architecture decision unclear → ask one concise question.
- Otherwise: stay terse.
🎯 Best For
- Claude users
- GitHub Copilot users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Caveman Mode to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Caveman Mode compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Caveman Mode?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Caveman Mode?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/caveman-mode/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.