caveman
by mattpocockcaveman is an ultra-compressed communication skill for concise technical replies, summaries, and debugging help. It keeps technical meaning intact, drops filler, and stays active after trigger until you say stop caveman or normal mode. Best for Technical Writing, code review notes, incident updates, and faster back-and-forth when you already know the topic.
This skill scores 67/100, which means it is acceptable to list but best presented with cautions. Directory users get a clear trigger and a concrete communication-style workflow, but the repository is mostly a single SKILL.md with no supporting files, so adoption value is real yet limited to a narrow use case.
- Explicit trigger phrases and /caveman invocation make it easy for agents to activate correctly.
- Operational rules are specific: drop filler, keep technical substance, preserve code and quoted errors, and use a compact output pattern.
- Includes examples plus an auto-clarity exception, which helps agents understand when to stay terse vs. when to switch tone for safety or multi-step tasks.
- Narrow scope: this is a style/response-mode skill, not a broader task workflow, so install value depends on users wanting compressed communication.
- No supporting scripts, references, or install command; users must rely on the SKILL.md alone to understand and adopt it.
Overview of caveman skill
What caveman does
caveman is an ultra-compressed communication skill for when you want the model to answer with less fluff, fewer tokens, and tighter phrasing. It keeps technical meaning intact while removing filler, pleasantries, and verbose transitions. The caveman skill is best for people who already know the topic and want faster, denser responses.
Who should install it
Use caveman if you often prompt for concise debugging help, code explanations, summaries, or status updates and keep having to ask for “shorter,” “more direct,” or “less verbose.” It is especially useful for developers, ops users, and anyone doing repetitive technical work where response length matters.
Why it is different
Unlike a normal “be concise” prompt, caveman adds explicit output rules: drop articles and filler, keep exact technical terms, use short fragments, and preserve code and errors verbatim. That makes it more reliable than a one-off style request because the behavior is persistent once triggered.
How to Use caveman skill
Install and trigger it
Install the caveman skill in your skills setup, then trigger it with phrases like caveman mode, use caveman, talk like caveman, less tokens, or /caveman. The skill is designed to stay active after activation until you explicitly ask to stop caveman or return to normal mode.
Turn a rough request into a good caveman prompt
Give the model the goal, the hard constraints, and the output shape in one pass. Strong inputs look like: “Use caveman. Explain why this SQL query is slow, include the most likely cause first, keep exact error text, and give 2 fixes.” Weak inputs are vague asks like “help me with this” because caveman compresses wording, not missing context.
Read these parts first
Start with SKILL.md because it defines the response style, persistence, rules, and the auto-clarity exception. In caveman install terms, there are no helper scripts or support files to inspect, so the practical workflow is simpler than many skills: understand the trigger, then test it on one real task.
Use it where compression matters
The best caveman usage is for technical writing, code review notes, incident updates, bug triage, and “explain this output” tasks where brevity improves speed. Avoid it when you need warm tone, polished customer-facing copy, or highly structured long-form docs unless you plan to rewrite afterward.
caveman skill FAQ
Is caveman only for technical writing?
No. The caveman skill is strong for technical writing, but it also works for developer Q&A, troubleshooting, and summaries. The main fit test is whether you value dense meaning over polished prose.
What is the biggest limitation?
caveman can be too terse if your request is ambiguous or safety-sensitive. The repository includes an auto-clarity exception, which means it should relax the compression style for security warnings, irreversible actions, and other cases where being brief would reduce safety or clarity.
Do I need this instead of a normal prompt?
If you only need one short answer, a normal prompt may be enough. Install caveman when you repeatedly want compact responses without rewriting the instruction every time, or when you want a durable “brief but accurate” mode across turns.
Is caveman beginner-friendly?
Yes, if the user knows what “shorter” means in practice. It is less ideal for beginners who need handholding, because the style removes explanatory padding and expects the prompt to carry enough context.
How to Improve caveman skill
Give better input, not just a shorter request
The fastest way to improve caveman output is to specify the target, audience, and output format up front. For example: “Use caveman. Explain the bug for a teammate, mention root cause, 1 fix, and 1 verification step.” That gives the skill enough structure to stay terse without becoming vague.
Watch for missing context
The main failure mode with caveman is under-specification: the response can become too compressed to be useful if you do not provide the system, error, command, or snippet being discussed. Include exact code, logs, or constraints when possible, because caveman preserves technical substance best when the input is precise.
Iterate by tightening the ask
If the first output is still too long, ask for a stricter format: bullets only, one-line summary first, or “max 5 lines.” If the answer is too sparse, ask for “same caveman style, but include assumptions and next step.” That keeps the caveman skill useful without losing the density that makes it valuable.