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Claude Managed Agents — Quickstart

Create your first autonomous agent using the Anthropic CLI and curl.

Core Concepts

Concept	Description
Agent	The model, system prompt, tools, MCP servers, and skills
Environment	A configured container template (packages, network access)

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require(MTS)
# random walk
walk <- function(m){
  steps <- rbinom(m, 1, 0.5)*2 - 1
  res <- c(0)
  for (i in 1:length(steps)) {
    res <- c(res, res[length(res)] + steps[i])
  }
  res
}

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install.packages('plotly')
library(plotly)

# check if a matrix is invertable
invertable <- function(m) class(try(solve(m),silent=T)) == "matrix"

# generate the pdf function of multivariate gaussian
dmg.generator <- function(lambda = c(1, 1), b = c(0, 0), A = diag(2)) {
  n <- length(lambda)
  # check for dimensions

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Grading policy

Answer is correct

1. Small technical error: -2 (each) * ex: state diagram mistakes * ex: off by one error * ex: notational error
2. Logical error: -5 (each) * ex: Circling prove * ex: You prove "for some" when you need to prove "for all", or vise versa

• ex: Missing an important logical step, an assumption, or a condition