caveman
Reduces API costs and latency by 65% through minimal token output, directly improving Claude integration economics for high-volume code development workloadsβ¦
πͺ¨ why use many token when few token do trick β Claude Code skill that cuts 65% of tokens by talking like caveman
- Ask Claude to explain complex code using simple, short words to reduce API costs.
- Generate caveman-style documentation that cuts token usage for internal code reviews.
- Automate test case writing with minimal tokens by using primitive sentence structures.
Reduces API costs and latency by 65% through minimal token output, directly improving Claude integration economics for high-volume code development workloads without sacrificing accuracy.
Engineering teams running frequent Claude-assisted code generation seeking measurable cost reduction and faster response times.
https://github.com/JuliusBrussee/caveman
By JuliusBrussee
How to Get It
claude plugins install JuliusBrussee/caveman
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Explain complex code using simple, short words to reduce API costs
Trust Signals Auto-scanned
Community Pulse New
- Caveman: Why use many token when few token do trick β Hacker News Β· 904 pts
- The Procrastinating Caveman: Human Evolution and Procrastination β Hacker News Β· 122 pts
- I benchmarked Claude Code's caveman plugin against "be brief." β Hacker News Β· 89 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 100,400 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying β
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 100,400 GitHub stars; contributors unknown; last commit 0d ago; license no license.