Compress AI responses into terse formats while preserving critical details.
npx skills add https://github.com/badowhp/skill-mania --skill caveman-badowhp
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/badowhp/skill-mania/tree/main/plugins/skill-mania/skills/caveman Command: npx skills add https://github.com/badowhp/skill-mania --skill caveman-badowhp
This Skill solves the problem of receiving overly verbose AI responses that bury critical information like blockers, verification gaps, safety warnings, and required citations under unnecessary filler text, praise, and recaps.
Ask the AI to use the caveman skill to summarize the changes from your current git branch and list any unverified test cases in a terse format.
High-intent search queries and answers about installing and using this skill.
Concise code review output preserves critical safety warnings by applying strict terse formatting rules that eliminate filler text while explicitly retaining irreversible-action warnings, failed commands, and verification gaps in 3 bullets maximum.
Verbose AI output obscures blockers and verification gaps by burying critical operational details under unnecessary filler text, praise, and recaps. Applying compact response rules enforces result-first presentation that isolates failed commands and test gaps.
Formatting technical answers for minimal prose requires enforcing strict output shaping rules that compress responses into 1 short paragraph or 3 bullets maximum, prioritizing result-first presentation without reducing task completion or safety standards.
Yes, you can get a 1-line git branch summary that lists unverified test cases by requesting terse output formatting, which compresses the change summary while non-negotiably preserving all required verification gaps and failed command disclosures.
Terse output formatting does not drop required citations and risk disclosures from code reviews. It enforces non-negotiable critical detail preservation to ensure source links and irreversible-action warnings remain intact despite compact response lengths.
You need compact responses for technical question answering when explicit requests for terse, brief, low-prose, or minimal output are made, ensuring factual answers prioritize critical details like blockers and safety caveats over filler content.
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