home/categories/scientific-computing/letta-ai-skills-letta-benchmarks-trajectory-only-adaptive-rejection-sampler-skill-md
scientific-computingresearch

adaptive-rejection-sampler

Guidance for implementing adaptive rejection sampling (ARS) algorithms for generating random samples from log-concave probability distributions. This skill should be used when tasks involve implementing ARS, rejection sampling, or Monte Carlo methods that require sampling from custom probability distributions, particularly in R or other statistical computing languages.

letta-ai
maintainer
letta-ai
اپ ڈیٹ ہوا 1/19/2026
اسٹارز
31
فورکس
5
quick start

Installation and usage

Guidance for implementing adaptive rejection sampling (ARS) algorithms for generating random samples from log-concave probability distributions. This skill should be used when tasks involve implementing ARS, rejection sampling, or Monte Carlo methods that require sampling from custom probability distributions, particularly in R or other statistical computing languages.

انسٹالیشن
$ install --globalskills.sh
استعمال

انسٹال کرنے کے بعد، آپ یہ اسکل ٹرمینل میں درج ذیل کمانڈ چلا کر استعمال کر سکتے ہیں:

skills use adaptive-rejection-sampler