Strip filler and hedging from AI responses while preserving technical accuracy.
npx skills add https://github.com/cropsgg/skills --skill caveman-cropsgg
Please help me install this Agent Skill. Skill: caveman Source: https://github.com/cropsgg/skills/tree/main/skills/productivity/caveman Command: npx skills add https://github.com/cropsgg/skills --skill caveman-cropsgg
Ultra-compressed communication mode that drops filler, hedging, and meta-commentary while preserving full technical accuracy. Reduces token usage ~75% in tight-context scenarios, enabling rapid iteration without sacrificing precision.
Enable caveman mode and respond with ultra-compact, technically precise output for the given prompt.
High-intent search queries and answers about installing and using this skill.
Reduce token usage by stripping filler, hedging, and meta-commentary from LLM outputs. This rule-based compression enforces imperative voice and concise formatting, cutting token consumption by roughly 75% in tight-context workflows without sacrificing precision.
Format technical runbooks for rapid iteration by enforcing imperative voice, concise structure, and explicit file/path references. Stripping meta-commentary and filler ensures raw signal delivery, which is critical when operating under strict token limits.
Yes, ultra-compact prompt design works for tight-context technical specs. It applies rule-based stripping of filler and hedging to deliver crisp, signal-focused results, enabling rapid iteration and handoffs without exceeding token limits.
Stripping meta-commentary does not affect path-exact references. The compression process preserves full technical accuracy by enforcing imperative voice and explicit file/path references while removing only filler and hedging from the output.
Avoid conciseness-focused prompt compression when outputs require conversational tone, detailed explanations, or extensive hedging. The tool is designed for raw signal delivery in technical specs and runbooks, stripping meta-commentary entirely.
sanfordzhangLoad openspec change artifacts and generate a structured verification report.
NihaalManafCompress conversational AI responses into caveman style with configurable intensity levels.
gke-labsAudit SKILL.md files for token efficiency and structural compliance.
gvkhoslaGenerate and update Ruby gem README files using the Ankane-style template.
