AgentSkillsCN

random-selection

使用多种算法随机从列表中选择项目，实现公平和无偏选

SKILL.md
--- frontmatter
name: random-selection
description: Randomly select items from lists using various algorithms for fair and unbiased selection

Random Selection Skill

Perform random selection with various algorithms for fair, unbiased outcomes.

When to Use

  • •Prize drawings
  • •Random sampling
  • •A/B test group assignment
  • •Survey participant selection

Core Capabilities

  • •Simple random selection
  • •Weighted random selection
  • •Stratified sampling
  • •Shuffle/randomize lists
  • •Unique selection (no duplicates)
  • •Reproducible randomness (seeded)

Examples

bash
# Bash: Random line from file
shuf -n 1 items.txt

# Python: Simple random
import random
items = ['A', 'B', 'C', 'D']
selected = random.choice(items)

# Python: Multiple unique items
selected = random.sample(items, 2)

# Python: Weighted selection
weights = [10, 5, 3, 1]
selected = random.choices(items, weights=weights, k=1)

# Python: Seeded (reproducible)
random.seed(42)
selected = random.choice(items)

Algorithms

  • •Uniform: Equal probability
  • •Weighted: Based on weights
  • •Reservoir sampling: For streams
  • •Fisher-Yates shuffle: Unbiased shuffling

Best Practices

  • •Use cryptographically secure random for security
  • •Document seed for reproducibility
  • •Verify distribution for large samples
  • •Handle edge cases (empty list, single item)

Resources