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Search Caveman , found 16 results

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Concise Technical Communication Mode

JuliusBrussee/caveman

An AI communication style that minimizes token usage while maintaining technical accuracy. It removes filler words, articles, and hedging, adhering to Simplified Technical English principles. Offers intensity levels from lite to ultra and classical Chinese variants for maximum brevity and clarity in technical contexts.

Caveman Compress Skill

caveman-compress

JuliusBrussee/caveman

Compresses natural-language memory files such as CLAUDE.md, todo lists, and preferences into terse caveman-style text to reduce input token usage. Preserves code blocks, inline code, URLs, headings, and important technical terms while backing up the original to an out-of-tree data directory.

Caveman Commit Writer

JuliusBrussee/caveman

Write terse, intent-only Conventional Commits messages. Use for generating commit messages from diffs or summaries, with optional scope, imperative mood, and concise body only when needed.

Caveman Code Review

JuliusBrussee/caveman

Compressed code review style that outputs one-line findings with location, problem, and fix. Use for terse, actionable PR reviews. Ideal for developers who want fast, blunt feedback without fluff.

Compress Natural Language Memory Files

JuliusBrussee/caveman

This utility compresses natural language documents (notes, preferences, memory files) into a highly condensed, 'caveman-speak' format. Its primary function is drastically reducing input tokens for efficiency while meticulously preserving all technical substance, including code blocks, URLs, file paths, and markdown structure. Ideal for optimizing memory consumption when interacting with AI models.

Caveman AI Mode Reference

JuliusBrussee/caveman

Quick-reference card for the Caveman AI persona, offering modes like Lite, Full, Ultra, and Wenyan styles. Includes skills for terse commit messages, PR reviews, and text compression to save tokens. Supports configuration via environment variables or config files to optimize interaction style.

Cavecrew Subagent Presets

JuliusBrussee/caveman

Cavecrew defines three subagent presets (investigator, builder, reviewer) that return compressed caveman-style output for code search, small edits, and diff review. Use them to shrink token overhead, preserve main context, and run longer multi-step coding sessions.

Caveman Session Usage Stats

JuliusBrussee/caveman

Report recorded output and cache-read token usage, response counts, and mode attribution for the current Claude Code session. In other hosts it points to native usage reports, and it honestly states that token savings remain unknown without a measured comparison.

Sharp Coder: Brevity and Discipline

sickn33/antigravity-awesome-skills

This skill operates on two layers: the THINK layer enforces rigorous coding discipline (simplicity, surgical changes, goal-driven execution), and the SPEAK layer compresses prose output (caveman/classical modes) for maximum token efficiency. Use it when brevity is explicitly requested or when disciplined, high-precision code generation is required.

LLM Workflow Labeling

caveman-discover

JuliusBrussee/caveman

Discover, name, and label every LLM workflow in a repository for Caveman Cloud. Helps break LLM spend down by workflow instead of one bucket. Inventory code paths, propose a labeling table, wire gateway labels, and verify changes through the user's normal review.

Caveman Evidence Review

caveman-evidence-review

JuliusBrussee/caveman

Read-only review of Caveman Cloud evidence covering cost, Cave Score, workflows, traces, latency, errors, routing, and savings. Use when asked what Caveman found or where LLM spend goes. Conclusions are based on current data and cite trace IDs.

Read-Only Repository Explorer

caveman-explore

JuliusBrussee/caveman

A read-only repository explorer for cold-start code orientation and cross-file localization. It locates where relevant code lives using broad parallel search and returns only compact path:line citations. Use when the exact file or symbol is not yet known; skip when direct search already works.

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