GB RTX 3060 12GB (Q4) / RTX 3070 8GB (Q4_K_S) 13B (Llama 2 13B) 26 GB 14 GB 8 GB 6 GB RTX 3090/4090
Scanned 10/4/2026
Skills Directorynpx -y skills add openamer/openamer --skill auto-efficiency-learning-towards-optimal --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: auto-efficiency-learning-towards-optimal
description: GB RTX 3060 12GB (Q4) / RTX 3070 8GB (Q4_K_S) 13B (Llama 2 13B) 26 GB 14 GB 8 GB 6 GB RTX 3090/4090
auto_generated: true
created: 2026-09-16
source_insight: "Efficiency learning (Towards Optimal LLM Quantization): How do agents run leaner?"
status: draft
fitness_score: 0
trials: 0
wins: 0
---
# Auto Efficiency Learning Towards Optimal
## Trigger
Use when the agent encounters: GB RTX 3060 12GB (Q4) / RTX 3070 8GB (Q4_K_S) 13B (Llama 2 13B) 26 GB 14 GB 8 GB 6 GB RTX 3090/4090
## Verification
- [ ] The skill produces the expected output for its domain
- [ ] No errors in execution
- [ ] Insight quality: actionable and specific
## Notes
Auto-generated from internet insight (Knowledge-to-Action pipeline).
Darwin will trial this skill; it gets promoted only if it wins arena fights.
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